You can deploy this model and start earning money today!

kwwww/
bert-base-uncased-test_16_6414

Name: bert-base-uncased-test_16_6414
Availability: InStock

pytorch

generated_from_trainer

glue

apache-2.0

Views

No views yet

bert-base-uncased-test_16_6414

This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:

Loss: 2.8822
F1: {'f1': 0.8419047619047619}
Accuracy: {'accuracy': 0.7612655800575263}

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2000

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
No log	1.0	401	0.4622	{'f1': 0.8679245283018867}	{'accuracy': 0.8053691275167785}
0.5261	2.0	802	0.6716	{'f1': 0.8583638583638584}	{'accuracy': 0.7775647171620326}
0.4169	3.0	1203	0.4545	{'f1': 0.867704280155642}	{'accuracy': 0.8044103547459253}
0.3381	4.0	1604	0.6054	{'f1': 0.8622448979591838}	{'accuracy': 0.7929050814956855}
0.2779	5.0	2005	0.5791	{'f1': 0.8750800768737989}	{'accuracy': 0.8130393096836049}
0.2779	6.0	2406	0.5359	{'f1': 0.8666224286662243}	{'accuracy': 0.8072866730584851}
0.2441	7.0	2807	0.5783	{'f1': 0.8735332464146025}	{'accuracy': 0.8139980824544583}
0.2351	8.0	3208	0.6860	{'f1': 0.8714938030006523}	{'accuracy': 0.8111217641418984}
0.2116	9.0	3609	0.9049	{'f1': 0.8699029126213591}	{'accuracy': 0.8072866730584851}
0.2129	10.0	4010	0.5766	{'f1': 0.8738379814077026}	{'accuracy': 0.8178331735378715}
0.2129	11.0	4411	0.6212	{'f1': 0.8671611598111936}	{'accuracy': 0.8111217641418984}
0.1962	12.0	4812	0.7943	{'f1': 0.8671611598111936}	{'accuracy': 0.8111217641418984}
0.1835	13.0	5213	0.8482	{'f1': 0.8654738237243207}	{'accuracy': 0.8053691275167785}
0.1835	14.0	5614	0.7664	{'f1': 0.8681541582150102}	{'accuracy': 0.8130393096836049}
0.1894	15.0	6015	0.7840	{'f1': 0.8658294778585592}	{'accuracy': 0.8053691275167785}
0.1894	16.0	6416	0.8821	{'f1': 0.8687782805429866}	{'accuracy': 0.8053691275167785}
0.1727	17.0	6817	0.8588	{'f1': 0.8632707774798927}	{'accuracy': 0.8044103547459253}
0.1775	18.0	7218	0.8268	{'f1': 0.8617780661907853}	{'accuracy': 0.7957813998082455}
0.1937	19.0	7619	0.7014	{'f1': 0.8602150537634408}	{'accuracy': 0.788111217641419}
0.1958	20.0	8020	0.7585	{'f1': 0.8725817211474317}	{'accuracy': 0.8168744007670182}
0.1958	21.0	8421	0.6327	{'f1': 0.8702594810379242}	{'accuracy': 0.8130393096836049}
0.172	22.0	8822	0.8079	{'f1': 0.8548707753479126}	{'accuracy': 0.7900287631831256}
0.2006	23.0	9223	0.7497	{'f1': 0.8645763842561709}	{'accuracy': 0.8053691275167785}
0.1773	24.0	9624	0.7609	{'f1': 0.8571428571428571}	{'accuracy': 0.7986577181208053}
0.1883	25.0	10025	1.0834	{'f1': 0.8593648736228128}	{'accuracy': 0.7919463087248322}
0.1883	26.0	10426	0.8705	{'f1': 0.8605108055009822}	{'accuracy': 0.7957813998082455}
0.1686	27.0	10827	0.8955	{'f1': 0.8634361233480176}	{'accuracy': 0.7919463087248322}
0.1995	28.0	11228	0.8582	{'f1': 0.8551099611901681}	{'accuracy': 0.785234899328859}
0.181	29.0	11629	1.1259	{'f1': 0.8628181253879579}	{'accuracy': 0.788111217641419}
0.1932	30.0	12030	0.6984	{'f1': 0.854557207498384}	{'accuracy': 0.7842761265580057}
0.1932	31.0	12431	0.7305	{'f1': 0.853720050441362}	{'accuracy': 0.7775647171620326}
0.1804	32.0	12832	0.9029	{'f1': 0.8625904010519396}	{'accuracy': 0.7996164908916586}
0.1857	33.0	13233	0.6825	{'f1': 0.8607095926412615}	{'accuracy': 0.7967401725790988}
0.1876	34.0	13634	1.1422	{'f1': 0.8458093410108765}	{'accuracy': 0.7689357622243528}
0.1993	35.0	14035	1.0844	{'f1': 0.8604353393085787}	{'accuracy': 0.7909875359539789}
0.1993	36.0	14436	1.0598	{'f1': 0.8594628357276703}	{'accuracy': 0.7842761265580057}
0.1824	37.0	14837	1.1073	{'f1': 0.8542199488491049}	{'accuracy': 0.7813998082454459}
0.2035	38.0	15238	0.7600	{'f1': 0.847682119205298}	{'accuracy': 0.7794822627037392}
0.2207	39.0	15639	1.0546	{'f1': 0.8526448362720404}	{'accuracy': 0.775647171620326}
0.194	40.0	16040	0.7376	{'f1': 0.8556566970091029}	{'accuracy': 0.7871524448705657}
0.194	41.0	16441	0.7798	{'f1': 0.8506616257088847}	{'accuracy': 0.7727708533077661}
0.2084	42.0	16842	1.0507	{'f1': 0.8624766645924082}	{'accuracy': 0.788111217641419}
0.199	43.0	17243	0.8728	{'f1': 0.8580562659846547}	{'accuracy': 0.7871524448705657}
0.2206	44.0	17644	0.8449	{'f1': 0.8459459459459461}	{'accuracy': 0.7813998082454459}
0.2132	45.0	18045	1.3335	{'f1': 0.8542713567839196}	{'accuracy': 0.7775647171620326}
0.2132	46.0	18446	0.9174	{'f1': 0.851948051948052}	{'accuracy': 0.7813998082454459}
0.204	47.0	18847	1.0006	{'f1': 0.860759493670886}	{'accuracy': 0.7890699904122723}
0.1993	48.0	19248	0.7934	{'f1': 0.8537859007832899}	{'accuracy': 0.785234899328859}
0.2143	49.0	19649	0.7783	{'f1': 0.8593448940269749}	{'accuracy': 0.7900287631831256}
0.2064	50.0	20050	0.8042	{'f1': 0.8664921465968587}	{'accuracy': 0.8044103547459253}
0.2064	51.0	20451	0.7491	{'f1': 0.8571428571428572}	{'accuracy': 0.7957813998082455}
0.1977	52.0	20852	1.0062	{'f1': 0.8575233022636485}	{'accuracy': 0.7948226270373921}
0.2037	53.0	21253	0.8462	{'f1': 0.8582474226804124}	{'accuracy': 0.7890699904122723}
0.2071	54.0	21654	0.8331	{'f1': 0.8509277031349968}	{'accuracy': 0.7766059443911792}
0.219	55.0	22055	0.8352	{'f1': 0.8665377176015473}	{'accuracy': 0.8015340364333653}
0.219	56.0	22456	0.9794	{'f1': 0.86125}	{'accuracy': 0.7871524448705657}
0.2125	57.0	22857	0.7315	{'f1': 0.8484848484848484}	{'accuracy': 0.7842761265580057}
0.2224	58.0	23258	0.7517	{'f1': 0.867515923566879}	{'accuracy': 0.800575263662512}
0.2075	59.0	23659	1.2492	{'f1': 0.8500000000000001}	{'accuracy': 0.7698945349952061}
0.2287	60.0	24060	1.1285	{'f1': 0.8625712476250793}	{'accuracy': 0.7919463087248322}
0.2287	61.0	24461	0.7967	{'f1': 0.8399246704331449}	{'accuracy': 0.7555129434324065}
0.2504	62.0	24862	1.0076	{'f1': 0.8527724665391969}	{'accuracy': 0.7785234899328859}
0.2346	63.0	25263	0.9732	{'f1': 0.8556767158434896}	{'accuracy': 0.7842761265580057}
0.222	64.0	25664	0.7520	{'f1': 0.8497683653209795}	{'accuracy': 0.7823585810162992}
0.2529	65.0	26065	1.2199	{'f1': 0.8456632653061223}	{'accuracy': 0.7679769894534996}
0.2529	66.0	26466	1.1044	{'f1': 0.8518057285180574}	{'accuracy': 0.7718120805369127}
0.26	67.0	26867	0.7342	{'f1': 0.8541666666666667}	{'accuracy': 0.785234899328859}
0.2466	68.0	27268	0.9639	{'f1': 0.8505747126436781}	{'accuracy': 0.775647171620326}
0.24	69.0	27669	0.7428	{'f1': 0.8540471637985979}	{'accuracy': 0.7804410354745925}
0.2603	70.0	28070	0.9065	{'f1': 0.8604060913705585}	{'accuracy': 0.7890699904122723}
0.2603	71.0	28471	0.8574	{'f1': 0.8504245591116917}	{'accuracy': 0.7804410354745925}
0.2474	72.0	28872	1.2110	{'f1': 0.8435374149659863}	{'accuracy': 0.7574304889741131}
0.2254	73.0	29273	0.9312	{'f1': 0.8541666666666667}	{'accuracy': 0.785234899328859}
0.2258	74.0	29674	0.9632	{'f1': 0.851948051948052}	{'accuracy': 0.7813998082454459}
0.2348	75.0	30075	0.6455	{'f1': 0.8479087452471483}	{'accuracy': 0.7698945349952061}
0.2348	76.0	30476	0.9974	{'f1': 0.8511716276124128}	{'accuracy': 0.7746883988494727}
0.253	77.0	30877	0.8229	{'f1': 0.8527724665391969}	{'accuracy': 0.7785234899328859}
0.243	78.0	31278	0.9802	{'f1': 0.8573289902280131}	{'accuracy': 0.7900287631831256}
0.2332	79.0	31679	1.0583	{'f1': 0.8533333333333334}	{'accuracy': 0.7785234899328859}
0.2211	80.0	32080	1.1156	{'f1': 0.8593350383631713}	{'accuracy': 0.7890699904122723}
0.2211	81.0	32481	0.9829	{'f1': 0.8490797546012271}	{'accuracy': 0.7641418983700863}
0.2471	82.0	32882	0.8408	{'f1': 0.8552544613350958}	{'accuracy': 0.7900287631831256}
0.254	83.0	33283	1.0823	{'f1': 0.8546144121365361}	{'accuracy': 0.7794822627037392}
0.2498	84.0	33684	0.8740	{'f1': 0.845016077170418}	{'accuracy': 0.7689357622243528}
0.2323	85.0	34085	0.8546	{'f1': 0.8515625}	{'accuracy': 0.7813998082454459}
0.2323	86.0	34486	0.7212	{'f1': 0.8515625}	{'accuracy': 0.7813998082454459}
0.2548	87.0	34887	0.9051	{'f1': 0.8495114006514658}	{'accuracy': 0.7785234899328859}
0.2156	88.0	35288	0.9236	{'f1': 0.8573240329740014}	{'accuracy': 0.7842761265580057}
0.222	89.0	35689	0.9488	{'f1': 0.8476070528967254}	{'accuracy': 0.7679769894534996}
0.2183	90.0	36090	0.8323	{'f1': 0.8571428571428572}	{'accuracy': 0.7890699904122723}
0.2183	91.0	36491	1.1698	{'f1': 0.8528111181301328}	{'accuracy': 0.7766059443911792}
0.2205	92.0	36892	1.1913	{'f1': 0.8537704918032787}	{'accuracy': 0.7861936720997124}
0.2118	93.0	37293	0.8978	{'f1': 0.8582474226804124}	{'accuracy': 0.7890699904122723}
0.2244	94.0	37694	1.0964	{'f1': 0.858085808580858}	{'accuracy': 0.7938638542665388}
0.2218	95.0	38095	1.1327	{'f1': 0.8526249209361164}	{'accuracy': 0.7766059443911792}
0.2218	96.0	38496	0.9631	{'f1': 0.8591916558018253}	{'accuracy': 0.7929050814956855}
0.2136	97.0	38897	0.6943	{'f1': 0.8549121665582303}	{'accuracy': 0.7861936720997124}
0.2239	98.0	39298	0.9435	{'f1': 0.8569612205975843}	{'accuracy': 0.7842761265580057}
0.2284	99.0	39699	0.8765	{'f1': 0.8536741214057507}	{'accuracy': 0.7804410354745925}
0.218	100.0	40100	0.8308	{'f1': 0.8500635324015249}	{'accuracy': 0.7737296260786194}
0.2207	101.0	40501	0.9594	{'f1': 0.8487928843710293}	{'accuracy': 0.7718120805369127}
0.2207	102.0	40902	1.1232	{'f1': 0.8540609137055837}	{'accuracy': 0.7794822627037392}
0.2076	103.0	41303	0.8938	{'f1': 0.8584126984126984}	{'accuracy': 0.7861936720997124}
0.2227	104.0	41704	0.8467	{'f1': 0.8517799352750809}	{'accuracy': 0.7804410354745925}
0.2224	105.0	42105	0.9232	{'f1': 0.85625}	{'accuracy': 0.7794822627037392}
0.231	106.0	42506	1.0057	{'f1': 0.8508430609597926}	{'accuracy': 0.7794822627037392}
0.231	107.0	42907	1.0549	{'f1': 0.8530331457160726}	{'accuracy': 0.7746883988494727}
0.2105	108.0	43308	0.9325	{'f1': 0.8384565075212557}	{'accuracy': 0.763183125599233}
0.2057	109.0	43709	0.8719	{'f1': 0.8524804177545692}	{'accuracy': 0.7833173537871524}
0.2112	110.0	44110	0.7338	{'f1': 0.8599629858112278}	{'accuracy': 0.7823585810162992}
0.2135	111.0	44511	1.0116	{'f1': 0.8461043142305216}	{'accuracy': 0.7708533077660594}
0.2135	112.0	44912	1.1867	{'f1': 0.8512820512820513}	{'accuracy': 0.7775647171620326}
0.2138	113.0	45313	1.0152	{'f1': 0.8443076923076923}	{'accuracy': 0.7574304889741131}
0.224	114.0	45714	1.1405	{'f1': 0.8582183186951067}	{'accuracy': 0.7833173537871524}
0.2233	115.0	46115	0.9341	{'f1': 0.8435643564356435}	{'accuracy': 0.7727708533077661}
0.2293	116.0	46516	0.8792	{'f1': 0.8416043507817811}	{'accuracy': 0.7766059443911792}
0.2293	117.0	46917	0.8610	{'f1': 0.8524590163934426}	{'accuracy': 0.7842761265580057}
0.224	118.0	47318	0.8714	{'f1': 0.8558616271620756}	{'accuracy': 0.7842761265580057}
0.2272	119.0	47719	1.1527	{'f1': 0.8505889646621204}	{'accuracy': 0.7689357622243528}
0.2314	120.0	48120	1.0835	{'f1': 0.8464996788696211}	{'accuracy': 0.7708533077660594}
0.2338	121.0	48521	0.9367	{'f1': 0.8555276381909548}	{'accuracy': 0.7794822627037392}
0.2338	122.0	48922	1.1894	{'f1': 0.8514605344934743}	{'accuracy': 0.7708533077660594}
0.2393	123.0	49323	0.8476	{'f1': 0.846641318124208}	{'accuracy': 0.7679769894534996}
0.2407	124.0	49724	0.8062	{'f1': 0.8580362726704189}	{'accuracy': 0.7823585810162992}
0.2326	125.0	50125	1.1019	{'f1': 0.8500948766603417}	{'accuracy': 0.7727708533077661}
0.2246	126.0	50526	0.9574	{'f1': 0.8392857142857142}	{'accuracy': 0.7583892617449665}
0.2246	127.0	50927	1.1958	{'f1': 0.8376623376623377}	{'accuracy': 0.7603068072866731}
0.2242	128.0	51328	1.0979	{'f1': 0.861323155216285}	{'accuracy': 0.7909875359539789}
0.2241	129.0	51729	0.9278	{'f1': 0.843308675184936}	{'accuracy': 0.7766059443911792}
0.2273	130.0	52130	0.7695	{'f1': 0.8393220338983051}	{'accuracy': 0.7727708533077661}
0.252	131.0	52531	0.8065	{'f1': 0.8439763001974985}	{'accuracy': 0.7727708533077661}
0.252	132.0	52932	0.8740	{'f1': 0.856036152356359}	{'accuracy': 0.7861936720997124}
0.2495	133.0	53333	0.8970	{'f1': 0.8464566929133859}	{'accuracy': 0.775647171620326}
0.2293	134.0	53734	0.8769	{'f1': 0.8389993585631816}	{'accuracy': 0.7593480345158198}
0.2417	135.0	54135	1.1989	{'f1': 0.8433583959899749}	{'accuracy': 0.7603068072866731}
0.2469	136.0	54536	0.8690	{'f1': 0.8526048284625158}	{'accuracy': 0.7775647171620326}
0.2469	137.0	54937	0.7737	{'f1': 0.8617157490396927}	{'accuracy': 0.7929050814956855}
0.2476	138.0	55338	1.2153	{'f1': 0.8573224387177876}	{'accuracy': 0.7823585810162992}
0.241	139.0	55739	0.9695	{'f1': 0.8405985686402083}	{'accuracy': 0.7651006711409396}
0.2545	140.0	56140	0.8597	{'f1': 0.8496732026143791}	{'accuracy': 0.7794822627037392}
0.2486	141.0	56541	0.6954	{'f1': 0.8421052631578948}	{'accuracy': 0.7670182166826462}
0.2486	142.0	56942	0.9841	{'f1': 0.8334413480233311}	{'accuracy': 0.7535953978907}
0.2684	143.0	57343	0.9315	{'f1': 0.8392973324658425}	{'accuracy': 0.763183125599233}
0.2441	144.0	57744	0.8837	{'f1': 0.8367071524966261}	{'accuracy': 0.7679769894534996}
0.2703	145.0	58145	1.2015	{'f1': 0.8350964530180461}	{'accuracy': 0.7459252157238735}
0.2724	146.0	58546	0.8231	{'f1': 0.8308681672025723}	{'accuracy': 0.74784276126558}
0.2724	147.0	58947	0.9058	{'f1': 0.8387096774193549}	{'accuracy': 0.7651006711409396}
0.2731	148.0	59348	0.9337	{'f1': 0.8399738732854344}	{'accuracy': 0.7651006711409396}
0.2642	149.0	59749	0.8101	{'f1': 0.8459099556119215}	{'accuracy': 0.7670182166826462}
0.253	150.0	60150	0.9742	{'f1': 0.8531289910600256}	{'accuracy': 0.7794822627037392}
0.2622	151.0	60551	0.8488	{'f1': 0.8401337792642141}	{'accuracy': 0.7708533077660594}
0.2622	152.0	60952	0.9315	{'f1': 0.8388324873096447}	{'accuracy': 0.7564717162032598}
0.2693	153.0	61353	1.1424	{'f1': 0.8496568933250156}	{'accuracy': 0.7689357622243528}
0.2534	154.0	61754	0.8121	{'f1': 0.8368522072936659}	{'accuracy': 0.7555129434324065}
0.2631	155.0	62155	0.9177	{'f1': 0.8525226390685641}	{'accuracy': 0.7813998082454459}
0.2426	156.0	62556	0.7225	{'f1': 0.8294314381270903}	{'accuracy': 0.7555129434324065}
0.2426	157.0	62957	0.8243	{'f1': 0.8371467025572005}	{'accuracy': 0.7679769894534996}
0.2612	158.0	63358	0.8831	{'f1': 0.8461051298290057}	{'accuracy': 0.7670182166826462}
0.3068	159.0	63759	0.8223	{'f1': 0.8467895740623013}	{'accuracy': 0.7689357622243528}
0.2927	160.0	64160	0.9283	{'f1': 0.8423676012461059}	{'accuracy': 0.7574304889741131}
0.3048	161.0	64561	0.7040	{'f1': 0.8467432950191572}	{'accuracy': 0.7698945349952061}
0.3048	162.0	64962	0.7779	{'f1': 0.8475000000000001}	{'accuracy': 0.7660594439117929}
0.3325	163.0	65363	0.7545	{'f1': 0.842443729903537}	{'accuracy': 0.7651006711409396}
0.2965	164.0	65764	0.8682	{'f1': 0.8403669724770643}	{'accuracy': 0.7497603068072867}
0.2816	165.0	66165	0.7588	{'f1': 0.8444730077120822}	{'accuracy': 0.7679769894534996}
0.2714	166.0	66566	0.8986	{'f1': 0.8435286542176433}	{'accuracy': 0.7670182166826462}
0.2714	167.0	66967	1.0528	{'f1': 0.8489954633830202}	{'accuracy': 0.7766059443911792}
0.2734	168.0	67368	0.6952	{'f1': 0.847145488029466}	{'accuracy': 0.7612655800575263}
0.2675	169.0	67769	0.7618	{'f1': 0.840446487196323}	{'accuracy': 0.7670182166826462}
0.2624	170.0	68170	0.8019	{'f1': 0.8111498257839721}	{'accuracy': 0.7401725790987536}
0.2584	171.0	68571	0.7608	{'f1': 0.8491182233834096}	{'accuracy': 0.7785234899328859}
0.2584	172.0	68972	0.8383	{'f1': 0.842170929507174}	{'accuracy': 0.7574304889741131}
0.247	173.0	69373	1.0304	{'f1': 0.8349875930521091}	{'accuracy': 0.7449664429530202}
0.2526	174.0	69774	0.8387	{'f1': 0.8345047923322685}	{'accuracy': 0.7516778523489933}
0.2594	175.0	70175	0.9768	{'f1': 0.8459099556119215}	{'accuracy': 0.7670182166826462}
0.2577	176.0	70576	0.8975	{'f1': 0.8460063897763579}	{'accuracy': 0.7689357622243528}
0.2577	177.0	70977	1.3535	{'f1': 0.8468137254901961}	{'accuracy': 0.7603068072866731}
0.2608	178.0	71378	0.7394	{'f1': 0.8421741977734118}	{'accuracy': 0.7689357622243528}
0.2601	179.0	71779	0.7100	{'f1': 0.8496143958868896}	{'accuracy': 0.775647171620326}
0.2412	180.0	72180	0.8524	{'f1': 0.849455477258168}	{'accuracy': 0.7746883988494727}
0.2419	181.0	72581	0.8062	{'f1': 0.8442466624284806}	{'accuracy': 0.7651006711409396}
0.2419	182.0	72982	0.8182	{'f1': 0.84107259646828}	{'accuracy': 0.7670182166826462}
0.244	183.0	73383	0.9105	{'f1': 0.8449131513647642}	{'accuracy': 0.7603068072866731}
0.2406	184.0	73784	0.7759	{'f1': 0.8493506493506494}	{'accuracy': 0.7775647171620326}
0.2444	185.0	74185	0.8565	{'f1': 0.851851851851852}	{'accuracy': 0.785234899328859}
0.2502	186.0	74586	1.1047	{'f1': 0.8413524057217165}	{'accuracy': 0.7660594439117929}
0.2502	187.0	74987	0.8517	{'f1': 0.8537048765041165}	{'accuracy': 0.7785234899328859}
0.241	188.0	75388	0.9265	{'f1': 0.8398384925975775}	{'accuracy': 0.7718120805369127}
0.2404	189.0	75789	0.9368	{'f1': 0.8371501272264632}	{'accuracy': 0.7545541706615532}
0.2312	190.0	76190	1.0300	{'f1': 0.8369152970922884}	{'accuracy': 0.7526366251198466}
0.2576	191.0	76591	0.9079	{'f1': 0.8512020792722548}	{'accuracy': 0.7804410354745925}
0.2576	192.0	76992	0.7314	{'f1': 0.8293625241468126}	{'accuracy': 0.7459252157238735}
0.2548	193.0	77393	0.7204	{'f1': 0.8445006321112516}	{'accuracy': 0.7641418983700863}
0.2624	194.0	77794	0.7678	{'f1': 0.8419672131147541}	{'accuracy': 0.7689357622243528}
0.2659	195.0	78195	0.7470	{'f1': 0.8321964529331515}	{'accuracy': 0.7641418983700863}
0.2788	196.0	78596	0.7394	{'f1': 0.833116036505867}	{'accuracy': 0.7545541706615532}
0.2788	197.0	78997	0.7013	{'f1': 0.8402734617775015}	{'accuracy': 0.7535953978907}
0.3023	198.0	79398	1.0282	{'f1': 0.8312020460358057}	{'accuracy': 0.7468839884947267}
0.2688	199.0	79799	0.8870	{'f1': 0.8389993585631816}	{'accuracy': 0.7593480345158198}
0.2694	200.0	80200	0.6708	{'f1': 0.8389175257731959}	{'accuracy': 0.7603068072866731}
0.2574	201.0	80601	1.0941	{'f1': 0.8393077873918418}	{'accuracy': 0.75071907957814}
0.2627	202.0	81002	1.0750	{'f1': 0.8441717791411043}	{'accuracy': 0.7564717162032598}
0.2627	203.0	81403	1.0689	{'f1': 0.831758034026465}	{'accuracy': 0.7440076701821668}
0.2412	204.0	81804	0.8979	{'f1': 0.8392156862745098}	{'accuracy': 0.7641418983700863}
0.2464	205.0	82205	0.9785	{'f1': 0.8467336683417086}	{'accuracy': 0.7660594439117929}
0.2597	206.0	82606	0.8800	{'f1': 0.8396166134185302}	{'accuracy': 0.7593480345158198}
0.2701	207.0	83007	0.8640	{'f1': 0.8251001335113486}	{'accuracy': 0.7488015340364333}
0.2701	208.0	83408	0.7954	{'f1': 0.8254180602006689}	{'accuracy': 0.7497603068072867}
0.254	209.0	83809	1.1185	{'f1': 0.8298397040690506}	{'accuracy': 0.7353787152444871}
0.2464	210.0	84210	0.8531	{'f1': 0.8393846153846154}	{'accuracy': 0.7497603068072867}
0.2811	211.0	84611	1.0518	{'f1': 0.8452454940957116}	{'accuracy': 0.7612655800575263}
0.2514	212.0	85012	1.1130	{'f1': 0.8340584213797391}	{'accuracy': 0.7440076701821668}
0.2514	213.0	85413	0.8402	{'f1': 0.8343949044585988}	{'accuracy': 0.75071907957814}
0.2498	214.0	85814	1.0275	{'f1': 0.8463444857496902}	{'accuracy': 0.7622243528283796}
0.2758	215.0	86215	0.8038	{'f1': 0.8451776649746193}	{'accuracy': 0.7660594439117929}
0.2578	216.0	86616	0.8187	{'f1': 0.8377544725478101}	{'accuracy': 0.74784276126558}
0.2761	217.0	87017	0.8593	{'f1': 0.845141065830721}	{'accuracy': 0.763183125599233}
0.2761	218.0	87418	0.9440	{'f1': 0.8472306755934268}	{'accuracy': 0.7593480345158198}
0.2785	219.0	87819	0.9716	{'f1': 0.8504034761018001}	{'accuracy': 0.7689357622243528}
0.3378	220.0	88220	0.6511	{'f1': 0.8293010752688171}	{'accuracy': 0.7564717162032598}
0.2826	221.0	88621	0.9528	{'f1': 0.842170929507174}	{'accuracy': 0.7574304889741131}
0.275	222.0	89022	1.2531	{'f1': 0.8377219840783834}	{'accuracy': 0.7459252157238735}
0.275	223.0	89423	0.6287	{'f1': 0.8302631578947368}	{'accuracy': 0.7526366251198466}
0.2788	224.0	89824	1.0870	{'f1': 0.837092731829574}	{'accuracy': 0.75071907957814}
0.2673	225.0	90225	0.8192	{'f1': 0.8374193548387098}	{'accuracy': 0.7583892617449665}
0.2886	226.0	90626	0.7370	{'f1': 0.839425587467363}	{'accuracy': 0.7641418983700863}
0.2658	227.0	91027	0.7898	{'f1': 0.8066581306017925}	{'accuracy': 0.710450623202301}
0.2658	228.0	91428	0.8841	{'f1': 0.8449266113592852}	{'accuracy': 0.7670182166826462}
0.2724	229.0	91829	0.9590	{'f1': 0.8110289172831203}	{'accuracy': 0.7305848513902206}
0.2877	230.0	92230	0.8778	{'f1': 0.8371187540558079}	{'accuracy': 0.7593480345158198}
0.2797	231.0	92631	0.9298	{'f1': 0.8345959595959596}	{'accuracy': 0.7488015340364333}
0.27	232.0	93032	1.0359	{'f1': 0.8330134357005758}	{'accuracy': 0.7497603068072867}
0.27	233.0	93433	0.9096	{'f1': 0.8311195445920303}	{'accuracy': 0.7440076701821668}
0.2514	234.0	93834	0.8881	{'f1': 0.8148648648648648}	{'accuracy': 0.7372962607861937}
0.2464	235.0	94235	0.8304	{'f1': 0.8345047923322685}	{'accuracy': 0.7516778523489933}
0.2608	236.0	94636	0.9228	{'f1': 0.8363866077068857}	{'accuracy': 0.7516778523489933}
0.2469	237.0	95037	0.9945	{'f1': 0.8368146214099217}	{'accuracy': 0.7603068072866731}
0.2469	238.0	95438	0.9208	{'f1': 0.8232931726907631}	{'accuracy': 0.7468839884947267}
0.258	239.0	95839	1.0260	{'f1': 0.832618025751073}	{'accuracy': 0.738255033557047}
0.2324	240.0	96240	0.9553	{'f1': 0.8457772337821298}	{'accuracy': 0.7583892617449665}
0.2348	241.0	96641	0.9753	{'f1': 0.8419737663960025}	{'accuracy': 0.7574304889741131}
0.2497	242.0	97042	1.0690	{'f1': 0.8434466019417476}	{'accuracy': 0.7526366251198466}
0.2497	243.0	97443	0.9550	{'f1': 0.8337662337662339}	{'accuracy': 0.7545541706615532}
0.2227	244.0	97844	1.0226	{'f1': 0.8515228426395941}	{'accuracy': 0.775647171620326}
0.2344	245.0	98245	0.9309	{'f1': 0.8406735751295337}	{'accuracy': 0.7641418983700863}
0.2312	246.0	98646	0.8419	{'f1': 0.8423076923076922}	{'accuracy': 0.7641418983700863}
0.2404	247.0	99047	1.1175	{'f1': 0.8329145728643216}	{'accuracy': 0.7449664429530202}
0.2404	248.0	99448	1.1481	{'f1': 0.8327953518398966}	{'accuracy': 0.7516778523489933}
0.2479	249.0	99849	1.2474	{'f1': 0.8459139114160948}	{'accuracy': 0.763183125599233}
0.2303	250.0	100250	1.0059	{'f1': 0.835705045278137}	{'accuracy': 0.7564717162032598}
0.2392	251.0	100651	1.3045	{'f1': 0.8360128617363345}	{'accuracy': 0.7555129434324065}
0.2246	252.0	101052	0.8578	{'f1': 0.8485981308411216}	{'accuracy': 0.7670182166826462}
0.2246	253.0	101453	0.9903	{'f1': 0.8208556149732621}	{'accuracy': 0.7430488974113135}
0.2387	254.0	101854	0.9149	{'f1': 0.8418367346938777}	{'accuracy': 0.7622243528283796}
0.2354	255.0	102255	0.9433	{'f1': 0.8424396442185516}	{'accuracy': 0.7622243528283796}
0.2512	256.0	102656	1.1076	{'f1': 0.8420373952288847}	{'accuracy': 0.7651006711409396}
0.2497	257.0	103057	0.9372	{'f1': 0.8376175548589342}	{'accuracy': 0.7516778523489933}
0.2497	258.0	103458	0.9338	{'f1': 0.8350923482849605}	{'accuracy': 0.7603068072866731}
0.2555	259.0	103859	1.1021	{'f1': 0.8398268398268398}	{'accuracy': 0.7516778523489933}
0.2341	260.0	104260	1.0147	{'f1': 0.8373570520965693}	{'accuracy': 0.7545541706615532}
0.2441	261.0	104661	0.9195	{'f1': 0.8244680851063829}	{'accuracy': 0.7468839884947267}
0.2358	262.0	105062	0.9904	{'f1': 0.8396284829721363}	{'accuracy': 0.7516778523489933}
0.2358	263.0	105463	1.0565	{'f1': 0.8389937106918239}	{'accuracy': 0.7545541706615532}
0.2401	264.0	105864	1.0503	{'f1': 0.8363636363636364}	{'accuracy': 0.7497603068072867}
0.2439	265.0	106265	1.2779	{'f1': 0.8363417569193742}	{'accuracy': 0.7392138063279002}
0.2504	266.0	106666	0.9715	{'f1': 0.8399487836107554}	{'accuracy': 0.7603068072866731}
0.2687	267.0	107067	1.0750	{'f1': 0.8330109606705353}	{'accuracy': 0.7516778523489933}
0.2687	268.0	107468	0.9981	{'f1': 0.8444165621079048}	{'accuracy': 0.7622243528283796}
0.2218	269.0	107869	0.9821	{'f1': 0.8318356867779204}	{'accuracy': 0.7488015340364333}
0.2215	270.0	108270	0.9113	{'f1': 0.8360655737704918}	{'accuracy': 0.75071907957814}
0.2275	271.0	108671	1.2055	{'f1': 0.8302122347066168}	{'accuracy': 0.7392138063279002}
0.2442	272.0	109072	1.2157	{'f1': 0.8380716934487022}	{'accuracy': 0.7488015340364333}
0.2442	273.0	109473	1.0310	{'f1': 0.8321633694958519}	{'accuracy': 0.74784276126558}
0.2375	274.0	109874	0.9068	{'f1': 0.842964824120603}	{'accuracy': 0.7603068072866731}
0.2474	275.0	110275	0.7434	{'f1': 0.838709677419355}	{'accuracy': 0.7603068072866731}
0.2445	276.0	110676	0.9356	{'f1': 0.8242894056847546}	{'accuracy': 0.7392138063279002}
0.2401	277.0	111077	1.3207	{'f1': 0.8337595907928389}	{'accuracy': 0.75071907957814}
0.2401	278.0	111478	1.0330	{'f1': 0.8378033205619413}	{'accuracy': 0.7564717162032598}
0.2342	279.0	111879	1.3449	{'f1': 0.835538752362949}	{'accuracy': 0.7497603068072867}
0.2257	280.0	112280	1.0314	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.2313	281.0	112681	0.9193	{'f1': 0.8391959798994975}	{'accuracy': 0.7545541706615532}
0.254	282.0	113082	1.1292	{'f1': 0.8357457520453115}	{'accuracy': 0.7497603068072867}
0.254	283.0	113483	0.7148	{'f1': 0.8354430379746837}	{'accuracy': 0.75071907957814}
0.2537	284.0	113884	0.9808	{'f1': 0.8301647655259823}	{'accuracy': 0.7430488974113135}
0.2428	285.0	114285	1.0571	{'f1': 0.8220617202889035}	{'accuracy': 0.7401725790987536}
0.2411	286.0	114686	0.8902	{'f1': 0.8305519897304235}	{'accuracy': 0.7468839884947267}
0.2523	287.0	115087	1.1189	{'f1': 0.8409232688708672}	{'accuracy': 0.7555129434324065}
0.2523	288.0	115488	1.2165	{'f1': 0.8418461538461539}	{'accuracy': 0.7535953978907}
0.2357	289.0	115889	0.7972	{'f1': 0.8271363339856491}	{'accuracy': 0.7459252157238735}
0.2294	290.0	116290	0.9963	{'f1': 0.827992151733159}	{'accuracy': 0.74784276126558}
0.2339	291.0	116691	1.0150	{'f1': 0.8330182734719597}	{'accuracy': 0.7459252157238735}
0.2316	292.0	117092	0.9740	{'f1': 0.823529411764706}	{'accuracy': 0.7468839884947267}
0.2316	293.0	117493	1.0322	{'f1': 0.8364576599870717}	{'accuracy': 0.7574304889741131}
0.2186	294.0	117894	0.9056	{'f1': 0.8275426405559065}	{'accuracy': 0.738255033557047}
0.2274	295.0	118295	0.8818	{'f1': 0.8313021167415009}	{'accuracy': 0.74784276126558}
0.2345	296.0	118696	0.8546	{'f1': 0.8343004513217279}	{'accuracy': 0.7535953978907}
0.2227	297.0	119097	1.1910	{'f1': 0.8336448598130841}	{'accuracy': 0.7440076701821668}
0.2227	298.0	119498	0.9483	{'f1': 0.8156498673740052}	{'accuracy': 0.7334611697027804}
0.2254	299.0	119899	0.9499	{'f1': 0.8184818481848184}	{'accuracy': 0.7363374880153404}
0.2141	300.0	120300	1.1834	{'f1': 0.8259212198221093}	{'accuracy': 0.7372962607861937}
0.2313	301.0	120701	0.9448	{'f1': 0.8298429319371727}	{'accuracy': 0.75071907957814}
0.2225	302.0	121102	1.1666	{'f1': 0.8348567946374162}	{'accuracy': 0.7401725790987536}
0.2237	303.0	121503	1.1141	{'f1': 0.8283485045513654}	{'accuracy': 0.7468839884947267}
0.2237	304.0	121904	1.1684	{'f1': 0.8266494178525227}	{'accuracy': 0.7430488974113135}
0.2319	305.0	122305	1.1197	{'f1': 0.8365444375388441}	{'accuracy': 0.74784276126558}
0.2433	306.0	122706	1.0639	{'f1': 0.8236057068741893}	{'accuracy': 0.7392138063279002}
0.2333	307.0	123107	1.3037	{'f1': 0.8397515527950311}	{'accuracy': 0.7526366251198466}
0.2224	308.0	123508	0.9334	{'f1': 0.82687338501292}	{'accuracy': 0.7430488974113135}
0.2224	309.0	123909	0.9312	{'f1': 0.8376175548589342}	{'accuracy': 0.7516778523489933}
0.2267	310.0	124310	0.9007	{'f1': 0.7927677329624477}	{'accuracy': 0.7142857142857143}
0.2365	311.0	124711	1.2573	{'f1': 0.8195876288659794}	{'accuracy': 0.7315436241610739}
0.2316	312.0	125112	1.1209	{'f1': 0.8307888040712469}	{'accuracy': 0.7449664429530202}
0.2179	313.0	125513	0.9868	{'f1': 0.8294573643410853}	{'accuracy': 0.7468839884947267}
0.2179	314.0	125914	1.0275	{'f1': 0.8238308776425368}	{'accuracy': 0.7363374880153404}
0.2099	315.0	126315	1.0713	{'f1': 0.8279365079365079}	{'accuracy': 0.7401725790987536}
0.207	316.0	126716	1.1297	{'f1': 0.8121292023731048}	{'accuracy': 0.7267497603068073}
0.2092	317.0	127117	0.9408	{'f1': 0.835}	{'accuracy': 0.7468839884947267}
0.2151	318.0	127518	1.0883	{'f1': 0.8301132578281146}	{'accuracy': 0.7555129434324065}
0.2151	319.0	127919	0.9970	{'f1': 0.8235294117647058}	{'accuracy': 0.7411313518696069}
0.2026	320.0	128320	0.8693	{'f1': 0.8369704749679076}	{'accuracy': 0.7564717162032598}
0.2044	321.0	128721	1.0232	{'f1': 0.8358778625954199}	{'accuracy': 0.7526366251198466}
0.2075	322.0	129122	0.8083	{'f1': 0.8386243386243386}	{'accuracy': 0.7660594439117929}
0.2136	323.0	129523	1.1406	{'f1': 0.8349146110056926}	{'accuracy': 0.7497603068072867}
0.2136	324.0	129924	1.2443	{'f1': 0.8303797468354431}	{'accuracy': 0.7430488974113135}
0.1961	325.0	130325	1.2221	{'f1': 0.8407079646017699}	{'accuracy': 0.7583892617449665}
0.2052	326.0	130726	1.0717	{'f1': 0.8259740259740261}	{'accuracy': 0.7430488974113135}
0.2017	327.0	131127	0.9398	{'f1': 0.8214765100671142}	{'accuracy': 0.7449664429530202}
0.2036	328.0	131528	1.3544	{'f1': 0.8248222365869425}	{'accuracy': 0.7401725790987536}
0.2036	329.0	131929	1.1249	{'f1': 0.8271363339856491}	{'accuracy': 0.7459252157238735}
0.2252	330.0	132330	1.3486	{'f1': 0.8298807281858129}	{'accuracy': 0.7401725790987536}
0.2093	331.0	132731	1.4552	{'f1': 0.8211382113821138}	{'accuracy': 0.7468839884947267}
0.2083	332.0	133132	1.0837	{'f1': 0.8284409654272668}	{'accuracy': 0.74784276126558}
0.1992	333.0	133533	0.9452	{'f1': 0.8397997496871088}	{'accuracy': 0.7545541706615532}
0.1992	334.0	133934	1.1837	{'f1': 0.8085963734049697}	{'accuracy': 0.7267497603068073}
0.2169	335.0	134335	1.2463	{'f1': 0.8295739348370926}	{'accuracy': 0.7392138063279002}
0.1966	336.0	134736	1.0243	{'f1': 0.835705045278137}	{'accuracy': 0.7564717162032598}
0.2071	337.0	135137	1.2048	{'f1': 0.8298429319371727}	{'accuracy': 0.75071907957814}
0.2042	338.0	135538	1.2703	{'f1': 0.8311855670103093}	{'accuracy': 0.7488015340364333}
0.2042	339.0	135939	1.1096	{'f1': 0.8341836734693877}	{'accuracy': 0.75071907957814}
0.2059	340.0	136340	1.0543	{'f1': 0.833117723156533}	{'accuracy': 0.7526366251198466}
0.2034	341.0	136741	1.1578	{'f1': 0.8375959079283888}	{'accuracy': 0.7564717162032598}
0.2025	342.0	137142	1.0056	{'f1': 0.8135593220338982}	{'accuracy': 0.725790987535954}
0.2003	343.0	137543	1.3358	{'f1': 0.8265971316818774}	{'accuracy': 0.7449664429530202}
0.2003	344.0	137944	1.2170	{'f1': 0.8268229166666667}	{'accuracy': 0.7449664429530202}
0.1811	345.0	138345	1.3290	{'f1': 0.8368253968253969}	{'accuracy': 0.7535953978907}
0.191	346.0	138746	1.2520	{'f1': 0.829329962073325}	{'accuracy': 0.7411313518696069}
0.1783	347.0	139147	1.2309	{'f1': 0.8251295336787564}	{'accuracy': 0.7411313518696069}
0.1945	348.0	139548	1.0044	{'f1': 0.8232984293193718}	{'accuracy': 0.7411313518696069}
0.1945	349.0	139949	1.1220	{'f1': 0.83322601416613}	{'accuracy': 0.7516778523489933}
0.1985	350.0	140350	1.0662	{'f1': 0.8415841584158416}	{'accuracy': 0.7545541706615532}
0.1885	351.0	140751	1.1191	{'f1': 0.8292367399741268}	{'accuracy': 0.7468839884947267}
0.1727	352.0	141152	1.2839	{'f1': 0.8282828282828283}	{'accuracy': 0.7392138063279002}
0.201	353.0	141553	1.1559	{'f1': 0.8340694006309148}	{'accuracy': 0.74784276126558}
0.201	354.0	141954	1.1170	{'f1': 0.8152610441767068}	{'accuracy': 0.7353787152444871}
0.1783	355.0	142355	1.1743	{'f1': 0.8351231838281743}	{'accuracy': 0.7497603068072867}
0.1693	356.0	142756	1.2632	{'f1': 0.8366834170854272}	{'accuracy': 0.75071907957814}
0.1711	357.0	143157	1.2431	{'f1': 0.8336520076481836}	{'accuracy': 0.7497603068072867}
0.1856	358.0	143558	1.3269	{'f1': 0.843297671491504}	{'accuracy': 0.7612655800575263}
0.1856	359.0	143959	0.9130	{'f1': 0.8364576599870717}	{'accuracy': 0.7574304889741131}
0.1935	360.0	144360	0.9534	{'f1': 0.8312863606981254}	{'accuracy': 0.7497603068072867}
0.1906	361.0	144761	1.2703	{'f1': 0.8309239472030169}	{'accuracy': 0.7420901246404602}
0.1961	362.0	145162	1.2400	{'f1': 0.8308681672025723}	{'accuracy': 0.74784276126558}
0.2044	363.0	145563	1.1197	{'f1': 0.8339670468948036}	{'accuracy': 0.7488015340364333}
0.2044	364.0	145964	1.3656	{'f1': 0.8251928020565554}	{'accuracy': 0.7392138063279002}
0.1756	365.0	146365	1.3752	{'f1': 0.8331210191082803}	{'accuracy': 0.7488015340364333}
0.1886	366.0	146766	1.4663	{'f1': 0.8328115216030058}	{'accuracy': 0.7440076701821668}
0.1946	367.0	147167	1.1576	{'f1': 0.8366093366093366}	{'accuracy': 0.7449664429530202}
0.2011	368.0	147568	1.1472	{'f1': 0.8335419274092616}	{'accuracy': 0.7449664429530202}
0.2011	369.0	147969	1.2084	{'f1': 0.8226120857699806}	{'accuracy': 0.738255033557047}
0.1833	370.0	148370	1.1038	{'f1': 0.829854522454143}	{'accuracy': 0.7420901246404602}
0.218	371.0	148771	1.2592	{'f1': 0.8212005108556832}	{'accuracy': 0.7315436241610739}
0.1981	372.0	149172	1.3553	{'f1': 0.8197343453510437}	{'accuracy': 0.7267497603068073}
0.1969	373.0	149573	1.1615	{'f1': 0.835538752362949}	{'accuracy': 0.7497603068072867}
0.1969	374.0	149974	1.0217	{'f1': 0.8296199213630406}	{'accuracy': 0.75071907957814}
0.1807	375.0	150375	1.1867	{'f1': 0.8180610889774237}	{'accuracy': 0.7372962607861937}
0.1835	376.0	150776	1.1629	{'f1': 0.8165910563836681}	{'accuracy': 0.7286673058485139}
0.1896	377.0	151177	0.9018	{'f1': 0.8215444516547697}	{'accuracy': 0.7363374880153404}
0.1884	378.0	151578	1.0185	{'f1': 0.8315041962556489}	{'accuracy': 0.7497603068072867}
0.1884	379.0	151979	1.2284	{'f1': 0.8370370370370371}	{'accuracy': 0.7468839884947267}
0.1919	380.0	152380	1.1363	{'f1': 0.8344283837056505}	{'accuracy': 0.7583892617449665}
0.1805	381.0	152781	1.2666	{'f1': 0.8297455968688846}	{'accuracy': 0.7497603068072867}
0.19	382.0	153182	1.2733	{'f1': 0.8194805194805195}	{'accuracy': 0.7334611697027804}
0.1835	383.0	153583	1.1949	{'f1': 0.8329297820823245}	{'accuracy': 0.7353787152444871}
0.1835	384.0	153984	1.2358	{'f1': 0.8266494178525227}	{'accuracy': 0.7430488974113135}
0.196	385.0	154385	1.2785	{'f1': 0.8270676691729323}	{'accuracy': 0.7353787152444871}
0.1751	386.0	154786	1.2285	{'f1': 0.8298807281858129}	{'accuracy': 0.7401725790987536}
0.1852	387.0	155187	1.3074	{'f1': 0.823529411764706}	{'accuracy': 0.7353787152444871}
0.1737	388.0	155588	1.2941	{'f1': 0.8375314861460957}	{'accuracy': 0.7526366251198466}
0.1737	389.0	155989	1.4487	{'f1': 0.8275862068965517}	{'accuracy': 0.7363374880153404}
0.1706	390.0	156390	1.5272	{'f1': 0.8241335044929398}	{'accuracy': 0.7372962607861937}
0.1642	391.0	156791	1.0372	{'f1': 0.8261142498430635}	{'accuracy': 0.7344199424736337}
0.189	392.0	157192	1.4099	{'f1': 0.824583866837388}	{'accuracy': 0.7372962607861937}
0.1741	393.0	157593	1.0995	{'f1': 0.8329145728643216}	{'accuracy': 0.7449664429530202}
0.1741	394.0	157994	1.5801	{'f1': 0.8210659898477158}	{'accuracy': 0.7296260786193672}
0.178	395.0	158395	1.0480	{'f1': 0.8203124999999999}	{'accuracy': 0.7353787152444871}
0.1876	396.0	158796	1.3443	{'f1': 0.8333333333333333}	{'accuracy': 0.75071907957814}
0.1753	397.0	159197	1.0740	{'f1': 0.8180628272251308}	{'accuracy': 0.7334611697027804}
0.1989	398.0	159598	1.2337	{'f1': 0.8177661659046374}	{'accuracy': 0.7325023969319271}
0.1989	399.0	159999	1.3333	{'f1': 0.821882951653944}	{'accuracy': 0.7315436241610739}
0.1849	400.0	160400	1.2865	{'f1': 0.826284970722186}	{'accuracy': 0.7440076701821668}
0.1915	401.0	160801	1.5147	{'f1': 0.8257575757575757}	{'accuracy': 0.7353787152444871}
0.1867	402.0	161202	1.3562	{'f1': 0.8216145833333334}	{'accuracy': 0.7372962607861937}
0.1879	403.0	161603	1.3696	{'f1': 0.832274459974587}	{'accuracy': 0.7468839884947267}
0.1876	404.0	162004	1.0819	{'f1': 0.8287841191066997}	{'accuracy': 0.7353787152444871}
0.1876	405.0	162405	1.1889	{'f1': 0.8153034300791557}	{'accuracy': 0.7315436241610739}
0.1828	406.0	162806	1.4822	{'f1': 0.8288060644346177}	{'accuracy': 0.7401725790987536}
0.1771	407.0	163207	1.2696	{'f1': 0.8149117069980378}	{'accuracy': 0.7286673058485139}
0.1892	408.0	163608	1.3728	{'f1': 0.8314606741573034}	{'accuracy': 0.7411313518696069}
0.1924	409.0	164009	1.4891	{'f1': 0.8267170762444864}	{'accuracy': 0.7363374880153404}
0.1924	410.0	164410	1.3497	{'f1': 0.8254364089775562}	{'accuracy': 0.7315436241610739}
0.2059	411.0	164811	1.3869	{'f1': 0.8239033693579149}	{'accuracy': 0.7344199424736337}
0.173	412.0	165212	1.1285	{'f1': 0.8334373050530256}	{'accuracy': 0.7440076701821668}
0.1898	413.0	165613	1.0594	{'f1': 0.833756345177665}	{'accuracy': 0.7488015340364333}
0.1965	414.0	166014	1.1080	{'f1': 0.8256041802743305}	{'accuracy': 0.7440076701821668}
0.1965	415.0	166415	1.3118	{'f1': 0.8264248704663213}	{'accuracy': 0.7430488974113135}
0.18	416.0	166816	1.2283	{'f1': 0.8291457286432161}	{'accuracy': 0.7392138063279002}
0.1965	417.0	167217	1.0645	{'f1': 0.8183581124757595}	{'accuracy': 0.7305848513902206}
0.1728	418.0	167618	1.3259	{'f1': 0.830694275274056}	{'accuracy': 0.7334611697027804}
0.1859	419.0	168019	1.1126	{'f1': 0.8258064516129032}	{'accuracy': 0.7411313518696069}
0.1859	420.0	168420	1.2823	{'f1': 0.8230865746549562}	{'accuracy': 0.7296260786193672}
0.1885	421.0	168821	1.1088	{'f1': 0.8321451717433571}	{'accuracy': 0.7516778523489933}
0.1831	422.0	169222	1.0043	{'f1': 0.8343949044585988}	{'accuracy': 0.75071907957814}
0.1983	423.0	169623	0.9053	{'f1': 0.8163001293661061}	{'accuracy': 0.7277085330776606}
0.1996	424.0	170024	1.1843	{'f1': 0.8305941845764855}	{'accuracy': 0.7430488974113135}
0.1996	425.0	170425	1.0808	{'f1': 0.8368883312421581}	{'accuracy': 0.75071907957814}
0.2092	426.0	170826	1.3682	{'f1': 0.824583866837388}	{'accuracy': 0.7372962607861937}
0.1943	427.0	171227	1.2896	{'f1': 0.8314465408805031}	{'accuracy': 0.7430488974113135}
0.1936	428.0	171628	1.3162	{'f1': 0.8317089018843405}	{'accuracy': 0.7516778523489933}
0.2013	429.0	172029	1.0809	{'f1': 0.8304862023653088}	{'accuracy': 0.7526366251198466}
0.2013	430.0	172430	0.9750	{'f1': 0.8024776324845148}	{'accuracy': 0.7248322147651006}
0.202	431.0	172831	1.3711	{'f1': 0.8320802005012532}	{'accuracy': 0.7430488974113135}
0.1928	432.0	173232	1.2591	{'f1': 0.8275426405559065}	{'accuracy': 0.738255033557047}
0.1867	433.0	173633	1.4241	{'f1': 0.8288060644346177}	{'accuracy': 0.7401725790987536}
0.1946	434.0	174034	1.1639	{'f1': 0.8191834089436163}	{'accuracy': 0.7325023969319271}
0.1946	435.0	174435	1.1985	{'f1': 0.8255591054313098}	{'accuracy': 0.738255033557047}
0.1845	436.0	174836	1.1893	{'f1': 0.8238341968911918}	{'accuracy': 0.7392138063279002}
0.1735	437.0	175237	1.3274	{'f1': 0.8332276474318325}	{'accuracy': 0.74784276126558}
0.1739	438.0	175638	1.2402	{'f1': 0.8256410256410257}	{'accuracy': 0.7392138063279002}
0.1709	439.0	176039	1.3347	{'f1': 0.8194993412384717}	{'accuracy': 0.7372962607861937}
0.1709	440.0	176440	1.3250	{'f1': 0.827852998065764}	{'accuracy': 0.7440076701821668}
0.1722	441.0	176841	1.1848	{'f1': 0.8245161290322582}	{'accuracy': 0.7392138063279002}
0.1859	442.0	177242	1.2954	{'f1': 0.8149580915538363}	{'accuracy': 0.7248322147651006}
0.1824	443.0	177643	1.1898	{'f1': 0.8180661577608143}	{'accuracy': 0.725790987535954}
0.1758	444.0	178044	1.3304	{'f1': 0.8233782915863841}	{'accuracy': 0.7363374880153404}
0.1758	445.0	178445	0.9537	{'f1': 0.8128693368351937}	{'accuracy': 0.7267497603068073}
0.1949	446.0	178846	1.2281	{'f1': 0.827930174563591}	{'accuracy': 0.7353787152444871}
0.2036	447.0	179247	1.3548	{'f1': 0.8334380892520427}	{'accuracy': 0.7459252157238735}
0.2143	448.0	179648	1.3221	{'f1': 0.8252788104089219}	{'accuracy': 0.7296260786193672}
0.2018	449.0	180049	1.0750	{'f1': 0.8266841072596469}	{'accuracy': 0.7459252157238735}
0.2018	450.0	180450	1.0755	{'f1': 0.827020202020202}	{'accuracy': 0.7372962607861937}
0.2252	451.0	180851	1.2166	{'f1': 0.8346951602765557}	{'accuracy': 0.74784276126558}
0.2094	452.0	181252	1.1274	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.2681	453.0	181653	1.3181	{'f1': 0.827020202020202}	{'accuracy': 0.7372962607861937}
0.1972	454.0	182054	0.8673	{'f1': 0.8325123152709359}	{'accuracy': 0.7392138063279002}
0.1972	455.0	182455	1.1591	{'f1': 0.8323773103887826}	{'accuracy': 0.74784276126558}
0.1951	456.0	182856	1.3041	{'f1': 0.8277130594727161}	{'accuracy': 0.7305848513902206}
0.1982	457.0	183257	1.4555	{'f1': 0.8359522313010685}	{'accuracy': 0.7497603068072867}
0.1838	458.0	183658	1.1299	{'f1': 0.8346253229974161}	{'accuracy': 0.7545541706615532}
0.2182	459.0	184059	0.9776	{'f1': 0.8259773013871374}	{'accuracy': 0.7353787152444871}
0.2182	460.0	184460	1.3032	{'f1': 0.8240680183126227}	{'accuracy': 0.7420901246404602}
0.1852	461.0	184861	0.9505	{'f1': 0.8330229671011794}	{'accuracy': 0.7420901246404602}
0.1851	462.0	185262	1.1927	{'f1': 0.829827915869981}	{'accuracy': 0.7440076701821668}
0.1888	463.0	185663	1.4087	{'f1': 0.8368098159509203}	{'accuracy': 0.7449664429530202}
0.1893	464.0	186064	1.2923	{'f1': 0.836223506743738}	{'accuracy': 0.7555129434324065}
0.1893	465.0	186465	1.0797	{'f1': 0.8313479623824451}	{'accuracy': 0.7420901246404602}
0.186	466.0	186866	1.2101	{'f1': 0.834793491864831}	{'accuracy': 0.7468839884947267}
0.1864	467.0	187267	1.2022	{'f1': 0.8392511297611364}	{'accuracy': 0.7612655800575263}
0.1981	468.0	187668	1.1092	{'f1': 0.8280961182994454}	{'accuracy': 0.7325023969319271}
0.1895	469.0	188069	1.1553	{'f1': 0.8340694006309148}	{'accuracy': 0.74784276126558}
0.1895	470.0	188470	1.3154	{'f1': 0.8378033205619413}	{'accuracy': 0.7564717162032598}
0.179	471.0	188871	1.1820	{'f1': 0.8273291925465839}	{'accuracy': 0.7334611697027804}
0.1794	472.0	189272	1.3787	{'f1': 0.8302370275464446}	{'accuracy': 0.7459252157238735}
0.1789	473.0	189673	1.4287	{'f1': 0.8244648318042813}	{'accuracy': 0.7248322147651006}
0.1875	474.0	190074	1.4542	{'f1': 0.8263157894736842}	{'accuracy': 0.7468839884947267}
0.1875	475.0	190475	1.2156	{'f1': 0.8296107211231654}	{'accuracy': 0.7440076701821668}
0.1752	476.0	190876	1.3758	{'f1': 0.8198675496688741}	{'accuracy': 0.7392138063279002}
0.1771	477.0	191277	1.2855	{'f1': 0.815686274509804}	{'accuracy': 0.7296260786193672}
0.1733	478.0	191678	1.2288	{'f1': 0.8364099299809039}	{'accuracy': 0.7535953978907}
0.1716	479.0	192079	1.3840	{'f1': 0.8249370277078085}	{'accuracy': 0.7334611697027804}
0.1716	480.0	192480	1.2057	{'f1': 0.8237547892720306}	{'accuracy': 0.7353787152444871}
0.1784	481.0	192881	1.1144	{'f1': 0.8191214470284238}	{'accuracy': 0.7315436241610739}
0.1792	482.0	193282	1.3919	{'f1': 0.8310038119440915}	{'accuracy': 0.7449664429530202}
0.1733	483.0	193683	1.4192	{'f1': 0.8193717277486912}	{'accuracy': 0.7353787152444871}
0.1744	484.0	194084	1.3938	{'f1': 0.833859759949463}	{'accuracy': 0.74784276126558}
0.1744	485.0	194485	1.1077	{'f1': 0.825065274151436}	{'accuracy': 0.7430488974113135}
0.1979	486.0	194886	1.3552	{'f1': 0.8292993630573249}	{'accuracy': 0.7430488974113135}
0.1819	487.0	195287	1.3888	{'f1': 0.8311195445920303}	{'accuracy': 0.7440076701821668}
0.1856	488.0	195688	1.3409	{'f1': 0.834793491864831}	{'accuracy': 0.7468839884947267}
0.1808	489.0	196089	1.2179	{'f1': 0.8173455978975033}	{'accuracy': 0.7334611697027804}
0.1808	490.0	196490	1.0741	{'f1': 0.832398753894081}	{'accuracy': 0.7420901246404602}
0.1901	491.0	196891	1.2581	{'f1': 0.8294871794871795}	{'accuracy': 0.7449664429530202}
0.171	492.0	197292	1.2058	{'f1': 0.8394584139264991}	{'accuracy': 0.7612655800575263}
0.1898	493.0	197693	1.2022	{'f1': 0.8239895697522815}	{'accuracy': 0.7411313518696069}
0.1996	494.0	198094	1.3556	{'f1': 0.8326018808777429}	{'accuracy': 0.7440076701821668}
0.1996	495.0	198495	1.4803	{'f1': 0.8322903629536921}	{'accuracy': 0.7430488974113135}
0.1977	496.0	198896	1.3276	{'f1': 0.826530612244898}	{'accuracy': 0.7392138063279002}
0.189	497.0	199297	1.3818	{'f1': 0.8319800124921923}	{'accuracy': 0.7420901246404602}
0.1815	498.0	199698	1.1890	{'f1': 0.8228423101881894}	{'accuracy': 0.738255033557047}
0.1787	499.0	200099	1.0720	{'f1': 0.8283723875870805}	{'accuracy': 0.7401725790987536}
0.192	500.0	200500	1.2294	{'f1': 0.836340206185567}	{'accuracy': 0.7564717162032598}
0.192	501.0	200901	1.0655	{'f1': 0.8362720403022671}	{'accuracy': 0.75071907957814}
0.1763	502.0	201302	0.9363	{'f1': 0.8316195372750643}	{'accuracy': 0.7488015340364333}
0.1862	503.0	201703	1.3441	{'f1': 0.8270096463022508}	{'accuracy': 0.7420901246404602}
0.2075	504.0	202104	1.1774	{'f1': 0.8259773013871374}	{'accuracy': 0.7353787152444871}
0.1806	505.0	202505	1.2772	{'f1': 0.8325791855203619}	{'accuracy': 0.7516778523489933}
0.1806	506.0	202906	1.2522	{'f1': 0.8293625241468126}	{'accuracy': 0.7459252157238735}
0.1574	507.0	203307	1.1750	{'f1': 0.8377874456183967}	{'accuracy': 0.7497603068072867}
0.1716	508.0	203708	1.2929	{'f1': 0.8234536082474228}	{'accuracy': 0.7372962607861937}
0.1834	509.0	204109	1.4654	{'f1': 0.8316582914572863}	{'accuracy': 0.7430488974113135}
0.1682	510.0	204510	1.3371	{'f1': 0.8348680171884592}	{'accuracy': 0.7420901246404602}
0.1682	511.0	204911	1.4710	{'f1': 0.8323773103887826}	{'accuracy': 0.74784276126558}
0.2125	512.0	205312	1.0153	{'f1': 0.8325963360707517}	{'accuracy': 0.7459252157238735}
0.2007	513.0	205713	0.9367	{'f1': 0.8133333333333334}	{'accuracy': 0.7315436241610739}
0.2031	514.0	206114	1.2116	{'f1': 0.8277634961439588}	{'accuracy': 0.7430488974113135}
0.184	515.0	206515	1.2231	{'f1': 0.828499369482976}	{'accuracy': 0.7392138063279002}
0.184	516.0	206916	1.3763	{'f1': 0.8334396936821954}	{'accuracy': 0.7497603068072867}
0.1862	517.0	207317	1.1208	{'f1': 0.8295165394402036}	{'accuracy': 0.7430488974113135}
0.2084	518.0	207718	1.0639	{'f1': 0.8235294117647058}	{'accuracy': 0.738255033557047}
0.1967	519.0	208119	1.1155	{'f1': 0.8256182625237792}	{'accuracy': 0.7363374880153404}
0.1943	520.0	208520	0.8892	{'f1': 0.8317815021725636}	{'accuracy': 0.7401725790987536}
0.1943	521.0	208921	1.2673	{'f1': 0.825065274151436}	{'accuracy': 0.7430488974113135}
0.2068	522.0	209322	1.0673	{'f1': 0.8316062176165803}	{'accuracy': 0.75071907957814}
0.198	523.0	209723	0.9268	{'f1': 0.8325963360707517}	{'accuracy': 0.7459252157238735}
0.2135	524.0	210124	1.3506	{'f1': 0.8311362209667295}	{'accuracy': 0.7420901246404602}
0.1971	525.0	210525	1.1539	{'f1': 0.8333333333333333}	{'accuracy': 0.7430488974113135}
0.1971	526.0	210926	1.1212	{'f1': 0.8215712383488681}	{'accuracy': 0.7430488974113135}
0.1759	527.0	211327	1.2367	{'f1': 0.8253573648228714}	{'accuracy': 0.7305848513902206}
0.1851	528.0	211728	1.0518	{'f1': 0.8216145833333334}	{'accuracy': 0.7372962607861937}
0.1709	529.0	212129	1.2593	{'f1': 0.8264984227129337}	{'accuracy': 0.7363374880153404}
0.1657	530.0	212530	1.3602	{'f1': 0.8244372990353698}	{'accuracy': 0.738255033557047}
0.1657	531.0	212931	1.3430	{'f1': 0.8157724628312865}	{'accuracy': 0.7267497603068073}
0.1725	532.0	213332	1.2189	{'f1': 0.8207792207792208}	{'accuracy': 0.7353787152444871}
0.1899	533.0	213733	1.0550	{'f1': 0.8120104438642297}	{'accuracy': 0.7238734419942474}
0.214	534.0	214134	1.2949	{'f1': 0.8254777070063695}	{'accuracy': 0.7372962607861937}
0.1914	535.0	214535	1.2096	{'f1': 0.8276729559748428}	{'accuracy': 0.7372962607861937}
0.1914	536.0	214936	1.3878	{'f1': 0.8169556840077072}	{'accuracy': 0.7267497603068073}
0.1875	537.0	215337	1.1380	{'f1': 0.8109187749667109}	{'accuracy': 0.7277085330776606}
0.1841	538.0	215738	1.5245	{'f1': 0.8228782287822879}	{'accuracy': 0.7238734419942474}
0.1833	539.0	216139	1.1705	{'f1': 0.8210116731517509}	{'accuracy': 0.7353787152444871}
0.1964	540.0	216540	1.3621	{'f1': 0.8102094240837695}	{'accuracy': 0.7219558964525408}
0.1964	541.0	216941	1.1324	{'f1': 0.808707124010554}	{'accuracy': 0.7219558964525408}
0.2	542.0	217342	1.2192	{'f1': 0.8340807174887893}	{'accuracy': 0.7516778523489933}
0.1762	543.0	217743	1.4190	{'f1': 0.8285714285714286}	{'accuracy': 0.7468839884947267}
0.1851	544.0	218144	1.2717	{'f1': 0.8310214375788146}	{'accuracy': 0.7430488974113135}
0.1931	545.0	218545	1.3152	{'f1': 0.8313479623824451}	{'accuracy': 0.7420901246404602}
0.1931	546.0	218946	1.0623	{'f1': 0.8362014021669855}	{'accuracy': 0.7535953978907}
0.1962	547.0	219347	1.2971	{'f1': 0.8350383631713555}	{'accuracy': 0.7526366251198466}
0.1761	548.0	219748	1.4081	{'f1': 0.8339670468948036}	{'accuracy': 0.7488015340364333}
0.1684	549.0	220149	1.5189	{'f1': 0.8316582914572863}	{'accuracy': 0.7430488974113135}
0.1695	550.0	220550	1.3065	{'f1': 0.8377164849262349}	{'accuracy': 0.7574304889741131}
0.1695	551.0	220951	1.2823	{'f1': 0.814411964649898}	{'accuracy': 0.738255033557047}
0.1674	552.0	221352	1.2116	{'f1': 0.8353162179085786}	{'accuracy': 0.74784276126558}
0.1619	553.0	221753	1.3179	{'f1': 0.8335467349551857}	{'accuracy': 0.75071907957814}
0.1708	554.0	222154	1.0876	{'f1': 0.8304319793681496}	{'accuracy': 0.74784276126558}
0.1592	555.0	222555	0.9038	{'f1': 0.8413705583756345}	{'accuracy': 0.7603068072866731}
0.1592	556.0	222956	1.2623	{'f1': 0.8382716049382717}	{'accuracy': 0.7488015340364333}
0.1736	557.0	223357	1.3497	{'f1': 0.8388746803069054}	{'accuracy': 0.7583892617449665}
0.1548	558.0	223758	1.4598	{'f1': 0.8378548895899053}	{'accuracy': 0.7535953978907}
0.153	559.0	224159	1.7488	{'f1': 0.8285356695869838}	{'accuracy': 0.7372962607861937}
0.1587	560.0	224560	1.6057	{'f1': 0.8305606900800986}	{'accuracy': 0.7363374880153404}
0.1587	561.0	224961	1.4099	{'f1': 0.8322663252240717}	{'accuracy': 0.7488015340364333}
0.1558	562.0	225362	1.4425	{'f1': 0.8244084682440848}	{'accuracy': 0.7296260786193672}
0.1431	563.0	225763	1.5253	{'f1': 0.832908163265306}	{'accuracy': 0.7488015340364333}
0.1603	564.0	226164	1.4144	{'f1': 0.8345047923322685}	{'accuracy': 0.7516778523489933}
0.1615	565.0	226565	1.7290	{'f1': 0.8284166164960866}	{'accuracy': 0.7267497603068073}
0.1615	566.0	226966	1.7988	{'f1': 0.8254164096236891}	{'accuracy': 0.7286673058485139}
0.1458	567.0	227367	1.5867	{'f1': 0.8122215149586252}	{'accuracy': 0.7171620325982742}
0.1471	568.0	227768	1.3076	{'f1': 0.8233034571062741}	{'accuracy': 0.7353787152444871}
0.148	569.0	228169	1.2555	{'f1': 0.8149632598530394}	{'accuracy': 0.7344199424736337}
0.1533	570.0	228570	1.5063	{'f1': 0.8301886792452831}	{'accuracy': 0.7411313518696069}
0.1533	571.0	228971	1.5189	{'f1': 0.8349753694581281}	{'accuracy': 0.7430488974113135}
0.1519	572.0	229372	1.2028	{'f1': 0.8312020460358057}	{'accuracy': 0.7468839884947267}
0.1495	573.0	229773	1.2156	{'f1': 0.8299232736572889}	{'accuracy': 0.7449664429530202}
0.1535	574.0	230174	1.4894	{'f1': 0.8313021167415009}	{'accuracy': 0.74784276126558}
0.1384	575.0	230575	1.6469	{'f1': 0.8368883312421581}	{'accuracy': 0.75071907957814}
0.1384	576.0	230976	1.5157	{'f1': 0.8388714733542321}	{'accuracy': 0.7535953978907}
0.1328	577.0	231377	1.3831	{'f1': 0.8296774193548387}	{'accuracy': 0.7468839884947267}
0.1324	578.0	231778	1.2611	{'f1': 0.826115061409179}	{'accuracy': 0.7420901246404602}
0.135	579.0	232179	1.5978	{'f1': 0.8220937700706487}	{'accuracy': 0.7344199424736337}
0.1354	580.0	232580	1.8147	{'f1': 0.8320000000000001}	{'accuracy': 0.738255033557047}
0.1354	581.0	232981	1.6111	{'f1': 0.8310387984981228}	{'accuracy': 0.7411313518696069}
0.1326	582.0	233382	1.3016	{'f1': 0.8282051282051283}	{'accuracy': 0.7430488974113135}
0.1178	583.0	233783	1.4932	{'f1': 0.8195439739413681}	{'accuracy': 0.7344199424736337}
0.1137	584.0	234184	2.0423	{'f1': 0.8330229671011794}	{'accuracy': 0.7420901246404602}
0.1312	585.0	234585	1.4631	{'f1': 0.8134034165571615}	{'accuracy': 0.7277085330776606}
0.1312	586.0	234986	1.4882	{'f1': 0.8264781491002571}	{'accuracy': 0.7411313518696069}
0.1336	587.0	235387	1.1987	{'f1': 0.8318695106649937}	{'accuracy': 0.7430488974113135}
0.1382	588.0	235788	1.1964	{'f1': 0.8244372990353698}	{'accuracy': 0.738255033557047}
0.1313	589.0	236189	1.3087	{'f1': 0.8326898326898327}	{'accuracy': 0.75071907957814}
0.1277	590.0	236590	1.5256	{'f1': 0.8331257783312578}	{'accuracy': 0.7430488974113135}
0.1277	591.0	236991	1.5480	{'f1': 0.8316953316953316}	{'accuracy': 0.7372962607861937}
0.1385	592.0	237392	1.3847	{'f1': 0.827852998065764}	{'accuracy': 0.7440076701821668}
0.1281	593.0	237793	1.5152	{'f1': 0.8278061224489797}	{'accuracy': 0.7411313518696069}
0.1266	594.0	238194	1.7781	{'f1': 0.835458409228901}	{'accuracy': 0.7401725790987536}
0.1251	595.0	238595	1.4198	{'f1': 0.833015873015873}	{'accuracy': 0.74784276126558}
0.1251	596.0	238996	1.6065	{'f1': 0.8281150159744408}	{'accuracy': 0.7420901246404602}
0.139	597.0	239397	1.3715	{'f1': 0.8258317025440313}	{'accuracy': 0.7440076701821668}
0.1338	598.0	239798	1.6721	{'f1': 0.8278061224489797}	{'accuracy': 0.7411313518696069}
0.1221	599.0	240199	1.8160	{'f1': 0.8329145728643216}	{'accuracy': 0.7449664429530202}
0.1246	600.0	240600	1.7523	{'f1': 0.826530612244898}	{'accuracy': 0.7392138063279002}
0.1144	601.0	241001	1.4259	{'f1': 0.8226018396846255}	{'accuracy': 0.7411313518696069}
0.1144	602.0	241402	1.3581	{'f1': 0.8423028785982478}	{'accuracy': 0.7583892617449665}
0.1269	603.0	241803	1.6206	{'f1': 0.8394753279200501}	{'accuracy': 0.7535953978907}
0.116	604.0	242204	1.2881	{'f1': 0.8285895003162556}	{'accuracy': 0.7401725790987536}
0.1216	605.0	242605	1.5383	{'f1': 0.8336520076481836}	{'accuracy': 0.7497603068072867}
0.1132	606.0	243006	1.5624	{'f1': 0.8276299112801015}	{'accuracy': 0.7392138063279002}
0.1132	607.0	243407	1.6449	{'f1': 0.8322903629536921}	{'accuracy': 0.7430488974113135}
0.103	608.0	243808	1.6144	{'f1': 0.8352344740177441}	{'accuracy': 0.75071907957814}
0.12	609.0	244209	1.6368	{'f1': 0.8296199213630406}	{'accuracy': 0.75071907957814}
0.1166	610.0	244610	1.7159	{'f1': 0.8339622641509433}	{'accuracy': 0.7468839884947267}
0.1074	611.0	245011	1.3891	{'f1': 0.8331143232588699}	{'accuracy': 0.7564717162032598}
0.1074	612.0	245412	1.4587	{'f1': 0.8337531486146096}	{'accuracy': 0.7468839884947267}
0.1055	613.0	245813	1.4647	{'f1': 0.8284789644012944}	{'accuracy': 0.7459252157238735}
0.1133	614.0	246214	1.4399	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.135	615.0	246615	1.4565	{'f1': 0.8143790849673201}	{'accuracy': 0.7277085330776606}
0.1181	616.0	247016	1.6149	{'f1': 0.8329145728643216}	{'accuracy': 0.7449664429530202}
0.1181	617.0	247417	1.4303	{'f1': 0.8048289738430584}	{'accuracy': 0.7209971236816874}
0.1361	618.0	247818	1.4055	{'f1': 0.8359522313010685}	{'accuracy': 0.7497603068072867}
0.1177	619.0	248219	1.4533	{'f1': 0.8251121076233184}	{'accuracy': 0.738255033557047}
0.13	620.0	248620	1.4533	{'f1': 0.8315041962556489}	{'accuracy': 0.7497603068072867}
0.1152	621.0	249021	1.5651	{'f1': 0.8333333333333334}	{'accuracy': 0.7564717162032598}
0.1152	622.0	249422	1.5349	{'f1': 0.8298136645962733}	{'accuracy': 0.7372962607861937}
0.1258	623.0	249823	1.3304	{'f1': 0.8298701298701299}	{'accuracy': 0.7488015340364333}
0.1271	624.0	250224	1.7717	{'f1': 0.8256182625237792}	{'accuracy': 0.7363374880153404}
0.1087	625.0	250625	1.4667	{'f1': 0.8367729831144466}	{'accuracy': 0.7497603068072867}
0.1107	626.0	251026	1.4748	{'f1': 0.8274534958306606}	{'accuracy': 0.7420901246404602}
0.1107	627.0	251427	1.2582	{'f1': 0.8299935358758889}	{'accuracy': 0.74784276126558}
0.1163	628.0	251828	1.6093	{'f1': 0.8419023136246786}	{'accuracy': 0.7641418983700863}
0.1005	629.0	252229	1.6457	{'f1': 0.8388714733542321}	{'accuracy': 0.7535953978907}
0.1089	630.0	252630	1.4253	{'f1': 0.8330229671011794}	{'accuracy': 0.7420901246404602}
0.1211	631.0	253031	1.9493	{'f1': 0.8313773934527486}	{'accuracy': 0.738255033557047}
0.1211	632.0	253432	1.7456	{'f1': 0.83270911360799}	{'accuracy': 0.7430488974113135}
0.1089	633.0	253833	1.6031	{'f1': 0.8240563019833654}	{'accuracy': 0.7363374880153404}
0.1059	634.0	254234	1.7369	{'f1': 0.8291457286432161}	{'accuracy': 0.7392138063279002}
0.1102	635.0	254635	1.4770	{'f1': 0.8315724052206339}	{'accuracy': 0.7401725790987536}
0.1158	636.0	255036	1.6676	{'f1': 0.8261421319796954}	{'accuracy': 0.7372962607861937}
0.1158	637.0	255437	1.4730	{'f1': 0.8323548597521201}	{'accuracy': 0.7535953978907}
0.1132	638.0	255838	1.5628	{'f1': 0.8270967741935484}	{'accuracy': 0.7430488974113135}
0.0997	639.0	256239	1.7487	{'f1': 0.8306503541532518}	{'accuracy': 0.74784276126558}
0.114	640.0	256640	1.7745	{'f1': 0.828334396936822}	{'accuracy': 0.7420901246404602}
0.1012	641.0	257041	1.8126	{'f1': 0.8303108808290156}	{'accuracy': 0.7488015340364333}
0.1012	642.0	257442	1.8939	{'f1': 0.8287153652392948}	{'accuracy': 0.7392138063279002}
0.1057	643.0	257843	1.5884	{'f1': 0.8169934640522876}	{'accuracy': 0.7315436241610739}
0.1018	644.0	258244	1.4668	{'f1': 0.8308457711442787}	{'accuracy': 0.7392138063279002}
0.1016	645.0	258645	1.4985	{'f1': 0.8190224570673712}	{'accuracy': 0.7372962607861937}
0.1148	646.0	259046	1.7336	{'f1': 0.8304977945809704}	{'accuracy': 0.7420901246404602}
0.1148	647.0	259447	1.6005	{'f1': 0.81795195954488}	{'accuracy': 0.7238734419942474}
0.0957	648.0	259848	1.8434	{'f1': 0.8270967741935484}	{'accuracy': 0.7430488974113135}
0.1002	649.0	260249	1.4834	{'f1': 0.8209718670076727}	{'accuracy': 0.7315436241610739}
0.0992	650.0	260650	1.7101	{'f1': 0.8312807881773399}	{'accuracy': 0.7372962607861937}
0.1138	651.0	261051	1.5851	{'f1': 0.8283723875870805}	{'accuracy': 0.7401725790987536}
0.1138	652.0	261452	1.4149	{'f1': 0.8307111390811831}	{'accuracy': 0.7420901246404602}
0.1174	653.0	261853	1.4029	{'f1': 0.8229233741146168}	{'accuracy': 0.7363374880153404}
0.108	654.0	262254	1.7220	{'f1': 0.8351231838281743}	{'accuracy': 0.7497603068072867}
0.0935	655.0	262655	1.5609	{'f1': 0.8334380892520427}	{'accuracy': 0.7459252157238735}
0.0994	656.0	263056	1.2614	{'f1': 0.8204134366925064}	{'accuracy': 0.7334611697027804}
0.0994	657.0	263457	1.7510	{'f1': 0.8256642903434868}	{'accuracy': 0.7420901246404602}
0.0998	658.0	263858	1.6692	{'f1': 0.8261421319796954}	{'accuracy': 0.7372962607861937}
0.0853	659.0	264259	1.2292	{'f1': 0.82687338501292}	{'accuracy': 0.7430488974113135}
0.1054	660.0	264660	1.7218	{'f1': 0.8272318561335902}	{'accuracy': 0.7420901246404602}
0.1026	661.0	265061	1.7664	{'f1': 0.8230088495575221}	{'accuracy': 0.7315436241610739}
0.1026	662.0	265462	1.7136	{'f1': 0.8155080213903744}	{'accuracy': 0.7353787152444871}
0.0973	663.0	265863	1.7486	{'f1': 0.8301404853128992}	{'accuracy': 0.7449664429530202}
0.0872	664.0	266264	1.8180	{'f1': 0.829733163913596}	{'accuracy': 0.7430488974113135}
0.1022	665.0	266665	1.7115	{'f1': 0.8298807281858129}	{'accuracy': 0.7401725790987536}
0.1033	666.0	267066	1.6435	{'f1': 0.8226221079691517}	{'accuracy': 0.7353787152444871}
0.1033	667.0	267467	1.5114	{'f1': 0.8209606986899564}	{'accuracy': 0.7248322147651006}
0.0944	668.0	267868	1.5776	{'f1': 0.8239116309291746}	{'accuracy': 0.7401725790987536}
0.0816	669.0	268269	1.9097	{'f1': 0.8376830044557607}	{'accuracy': 0.7555129434324065}
0.0942	670.0	268670	1.6546	{'f1': 0.8246505717916136}	{'accuracy': 0.7353787152444871}
0.0891	671.0	269071	1.7671	{'f1': 0.8293625241468126}	{'accuracy': 0.7459252157238735}
0.0891	672.0	269472	1.6031	{'f1': 0.8228571428571428}	{'accuracy': 0.7325023969319271}
0.0897	673.0	269873	1.4601	{'f1': 0.8238308776425368}	{'accuracy': 0.7363374880153404}
0.1028	674.0	270274	1.7382	{'f1': 0.8240563019833654}	{'accuracy': 0.7363374880153404}
0.0998	675.0	270675	1.9301	{'f1': 0.8151534944480732}	{'accuracy': 0.7286673058485139}
0.0866	676.0	271076	1.7861	{'f1': 0.8240680183126227}	{'accuracy': 0.7420901246404602}
0.0866	677.0	271477	1.6736	{'f1': 0.8267716535433071}	{'accuracy': 0.7468839884947267}
0.0928	678.0	271878	1.5959	{'f1': 0.8264462809917356}	{'accuracy': 0.738255033557047}
0.1041	679.0	272279	1.5924	{'f1': 0.8165137614678899}	{'accuracy': 0.7315436241610739}
0.0956	680.0	272680	1.6246	{'f1': 0.8221797323135756}	{'accuracy': 0.7325023969319271}
0.0836	681.0	273081	1.8791	{'f1': 0.833859759949463}	{'accuracy': 0.74784276126558}
0.0836	682.0	273482	1.6407	{'f1': 0.8274143302180685}	{'accuracy': 0.7344199424736337}
0.094	683.0	273883	1.7358	{'f1': 0.8226857887874839}	{'accuracy': 0.7392138063279002}
0.0996	684.0	274284	1.6334	{'f1': 0.8181229773462783}	{'accuracy': 0.7305848513902206}
0.0888	685.0	274685	1.4579	{'f1': 0.8249370277078085}	{'accuracy': 0.7334611697027804}
0.0853	686.0	275086	1.6474	{'f1': 0.8312182741116751}	{'accuracy': 0.7449664429530202}
0.0853	687.0	275487	1.4804	{'f1': 0.8247422680412371}	{'accuracy': 0.7392138063279002}
0.0921	688.0	275888	1.2591	{'f1': 0.8282442748091604}	{'accuracy': 0.7411313518696069}
0.0913	689.0	276289	1.6632	{'f1': 0.8359923420548819}	{'accuracy': 0.7535953978907}
0.0907	690.0	276690	1.9568	{'f1': 0.8291139240506329}	{'accuracy': 0.7411313518696069}
0.0817	691.0	277091	1.7280	{'f1': 0.8358585858585859}	{'accuracy': 0.75071907957814}
0.0817	692.0	277492	1.6616	{'f1': 0.8264462809917356}	{'accuracy': 0.738255033557047}
0.0962	693.0	277893	1.7548	{'f1': 0.8276745675848817}	{'accuracy': 0.7420901246404602}
0.0796	694.0	278294	1.8925	{'f1': 0.8314745972738538}	{'accuracy': 0.7392138063279002}
0.0835	695.0	278695	1.5110	{'f1': 0.8286802030456853}	{'accuracy': 0.7411313518696069}
0.0863	696.0	279096	1.5822	{'f1': 0.8223350253807107}	{'accuracy': 0.7315436241610739}
0.0863	697.0	279497	1.8268	{'f1': 0.8296390120329322}	{'accuracy': 0.7420901246404602}
0.0902	698.0	279898	1.5674	{'f1': 0.8288633461047253}	{'accuracy': 0.7430488974113135}
0.0985	699.0	280299	1.5877	{'f1': 0.8240563019833654}	{'accuracy': 0.7363374880153404}
0.1017	700.0	280700	1.5604	{'f1': 0.8366093366093366}	{'accuracy': 0.7449664429530202}
0.0857	701.0	281101	1.4140	{'f1': 0.8368883312421581}	{'accuracy': 0.75071907957814}
0.1023	702.0	281502	1.7546	{'f1': 0.8218649517684887}	{'accuracy': 0.7344199424736337}
0.1023	703.0	281903	1.6308	{'f1': 0.8247291268323773}	{'accuracy': 0.7363374880153404}
0.0902	704.0	282304	1.6120	{'f1': 0.8343789209535759}	{'accuracy': 0.7468839884947267}
0.0928	705.0	282705	1.8234	{'f1': 0.824572514249525}	{'accuracy': 0.7344199424736337}
0.084	706.0	283106	1.5333	{'f1': 0.8361370716510904}	{'accuracy': 0.74784276126558}
0.0891	707.0	283507	1.4155	{'f1': 0.8290220820189275}	{'accuracy': 0.7401725790987536}
0.0891	708.0	283908	1.5104	{'f1': 0.8307111390811831}	{'accuracy': 0.7420901246404602}
0.0969	709.0	284309	1.6922	{'f1': 0.8270967741935484}	{'accuracy': 0.7430488974113135}
0.0906	710.0	284710	1.3256	{'f1': 0.8359923420548819}	{'accuracy': 0.7535953978907}
0.089	711.0	285111	1.5909	{'f1': 0.8188976377952756}	{'accuracy': 0.7353787152444871}
0.0897	712.0	285512	1.5304	{'f1': 0.8339622641509433}	{'accuracy': 0.7468839884947267}
0.0897	713.0	285913	1.5569	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.0864	714.0	286314	1.4281	{'f1': 0.8303341902313626}	{'accuracy': 0.7468839884947267}
0.0867	715.0	286715	1.5863	{'f1': 0.823146944083225}	{'accuracy': 0.7392138063279002}
0.0772	716.0	287116	1.8048	{'f1': 0.8271446862996158}	{'accuracy': 0.7411313518696069}
0.0939	717.0	287517	1.3001	{'f1': 0.8210800260247235}	{'accuracy': 0.7363374880153404}
0.0939	718.0	287918	1.7993	{'f1': 0.8239845261121858}	{'accuracy': 0.738255033557047}
0.0821	719.0	288319	1.5618	{'f1': 0.8267008985879333}	{'accuracy': 0.7411313518696069}
0.0924	720.0	288720	1.7069	{'f1': 0.8335451080050826}	{'accuracy': 0.7488015340364333}
0.0798	721.0	289121	1.5295	{'f1': 0.8289891926255561}	{'accuracy': 0.7420901246404602}
0.0805	722.0	289522	1.6203	{'f1': 0.8179487179487178}	{'accuracy': 0.7277085330776606}
0.0805	723.0	289923	1.6092	{'f1': 0.8229915088177661}	{'accuracy': 0.7401725790987536}
0.0935	724.0	290324	1.5888	{'f1': 0.8276315789473684}	{'accuracy': 0.7488015340364333}
0.0703	725.0	290725	1.3161	{'f1': 0.8137384412153237}	{'accuracy': 0.7296260786193672}
0.0869	726.0	291126	1.6319	{'f1': 0.8261731658955718}	{'accuracy': 0.74784276126558}
0.0896	727.0	291527	1.5046	{'f1': 0.8281250000000002}	{'accuracy': 0.7468839884947267}
0.0896	728.0	291928	1.9018	{'f1': 0.8279773156899811}	{'accuracy': 0.738255033557047}
0.0822	729.0	292329	1.5891	{'f1': 0.8258317025440313}	{'accuracy': 0.7440076701821668}
0.0928	730.0	292730	1.6360	{'f1': 0.8332292317301687}	{'accuracy': 0.7440076701821668}
0.0844	731.0	293131	1.6070	{'f1': 0.8278481012658229}	{'accuracy': 0.7392138063279002}
0.0856	732.0	293532	1.4064	{'f1': 0.825147347740668}	{'accuracy': 0.7440076701821668}
0.0856	733.0	293933	1.4311	{'f1': 0.8294573643410853}	{'accuracy': 0.7468839884947267}
0.094	734.0	294334	1.6478	{'f1': 0.8256041802743305}	{'accuracy': 0.7440076701821668}
0.08	735.0	294735	1.6216	{'f1': 0.8358778625954199}	{'accuracy': 0.7526366251198466}
0.0859	736.0	295136	1.4966	{'f1': 0.8353619474695709}	{'accuracy': 0.7535953978907}
0.0854	737.0	295537	1.7886	{'f1': 0.8309859154929577}	{'accuracy': 0.7468839884947267}
0.0854	738.0	295938	1.8090	{'f1': 0.8307307932542161}	{'accuracy': 0.7401725790987536}
0.0896	739.0	296339	1.5433	{'f1': 0.8233815210559398}	{'accuracy': 0.7305848513902206}
0.0739	740.0	296740	1.7438	{'f1': 0.819672131147541}	{'accuracy': 0.725790987535954}
0.0861	741.0	297141	1.9325	{'f1': 0.8263624841571611}	{'accuracy': 0.7372962607861937}
0.0791	742.0	297542	1.6114	{'f1': 0.8280254777070063}	{'accuracy': 0.7411313518696069}
0.0791	743.0	297943	1.6317	{'f1': 0.8274984086569064}	{'accuracy': 0.7401725790987536}
0.0771	744.0	298344	1.5320	{'f1': 0.8310214375788146}	{'accuracy': 0.7430488974113135}
0.0799	745.0	298745	1.5274	{'f1': 0.8223086900129701}	{'accuracy': 0.7372962607861937}
0.0858	746.0	299146	1.7967	{'f1': 0.8305519897304235}	{'accuracy': 0.7468839884947267}
0.0674	747.0	299547	1.9449	{'f1': 0.8214285714285715}	{'accuracy': 0.7315436241610739}
0.0674	748.0	299948	1.4532	{'f1': 0.8191978961209729}	{'accuracy': 0.7363374880153404}
0.0851	749.0	300349	2.1440	{'f1': 0.8227848101265823}	{'accuracy': 0.7315436241610739}
0.0682	750.0	300750	1.6794	{'f1': 0.8120104438642297}	{'accuracy': 0.7238734419942474}
0.0847	751.0	301151	2.0765	{'f1': 0.816847479259732}	{'accuracy': 0.7248322147651006}
0.0933	752.0	301552	1.9817	{'f1': 0.8164598301763553}	{'accuracy': 0.7305848513902206}
0.0933	753.0	301953	1.9762	{'f1': 0.8250950570342205}	{'accuracy': 0.7353787152444871}
0.0809	754.0	302354	1.8983	{'f1': 0.8313021167415009}	{'accuracy': 0.74784276126558}
0.0816	755.0	302755	1.8626	{'f1': 0.832274459974587}	{'accuracy': 0.7468839884947267}
0.0826	756.0	303156	1.9434	{'f1': 0.821685173089484}	{'accuracy': 0.738255033557047}
0.0804	757.0	303557	1.7329	{'f1': 0.8304977945809704}	{'accuracy': 0.7420901246404602}
0.0804	758.0	303958	1.9640	{'f1': 0.824126984126984}	{'accuracy': 0.7344199424736337}
0.0947	759.0	304359	1.4904	{'f1': 0.8240563019833654}	{'accuracy': 0.7363374880153404}
0.0828	760.0	304760	1.8932	{'f1': 0.8310214375788146}	{'accuracy': 0.7430488974113135}
0.0817	761.0	305161	1.6742	{'f1': 0.8195439739413681}	{'accuracy': 0.7344199424736337}
0.0761	762.0	305562	2.1010	{'f1': 0.8239074550128535}	{'accuracy': 0.7372962607861937}
0.0761	763.0	305963	1.8021	{'f1': 0.8315041962556489}	{'accuracy': 0.7497603068072867}
0.0834	764.0	306364	1.6681	{'f1': 0.8138020833333333}	{'accuracy': 0.725790987535954}
0.0919	765.0	306765	1.6430	{'f1': 0.8323699421965319}	{'accuracy': 0.7497603068072867}
0.0816	766.0	307166	1.6379	{'f1': 0.8293316028552888}	{'accuracy': 0.74784276126558}
0.0851	767.0	307567	1.3931	{'f1': 0.8308457711442787}	{'accuracy': 0.7392138063279002}
0.0851	768.0	307968	1.4214	{'f1': 0.8236065573770491}	{'accuracy': 0.7420901246404602}
0.0932	769.0	308369	1.7382	{'f1': 0.8367473618870268}	{'accuracy': 0.74784276126558}
0.0779	770.0	308770	1.5906	{'f1': 0.8220779220779222}	{'accuracy': 0.7372962607861937}
0.0765	771.0	309171	1.6053	{'f1': 0.8142762723066755}	{'accuracy': 0.7305848513902206}
0.0826	772.0	309572	1.6844	{'f1': 0.8359326263256395}	{'accuracy': 0.74784276126558}
0.0826	773.0	309973	1.6748	{'f1': 0.8250484183344092}	{'accuracy': 0.7401725790987536}
0.0854	774.0	310374	1.8388	{'f1': 0.8264248704663213}	{'accuracy': 0.7430488974113135}
0.0694	775.0	310775	1.4671	{'f1': 0.8215661103979461}	{'accuracy': 0.7334611697027804}
0.0793	776.0	311176	1.6423	{'f1': 0.8318471337579618}	{'accuracy': 0.7468839884947267}
0.0829	777.0	311577	1.5728	{'f1': 0.8310038119440915}	{'accuracy': 0.7449664429530202}
0.0829	778.0	311978	1.5087	{'f1': 0.8292367399741268}	{'accuracy': 0.7468839884947267}
0.0677	779.0	312379	1.8758	{'f1': 0.8339575530586767}	{'accuracy': 0.7449664429530202}
0.081	780.0	312780	1.9263	{'f1': 0.8384710234278668}	{'accuracy': 0.7488015340364333}
0.0791	781.0	313181	2.0157	{'f1': 0.8323917137476461}	{'accuracy': 0.7440076701821668}
0.077	782.0	313582	1.7422	{'f1': 0.8345047923322685}	{'accuracy': 0.7516778523489933}
0.077	783.0	313983	1.8700	{'f1': 0.8386691776522286}	{'accuracy': 0.7535953978907}
0.0684	784.0	314384	1.8097	{'f1': 0.8365019011406846}	{'accuracy': 0.7526366251198466}
0.0664	785.0	314785	1.9999	{'f1': 0.8288874430709173}	{'accuracy': 0.74784276126558}
0.0724	786.0	315186	1.7940	{'f1': 0.829109811565952}	{'accuracy': 0.74784276126558}
0.0748	787.0	315587	1.9124	{'f1': 0.8339670468948036}	{'accuracy': 0.7488015340364333}
0.0748	788.0	315988	1.7876	{'f1': 0.8414403032217308}	{'accuracy': 0.7593480345158198}
0.0766	789.0	316389	1.7075	{'f1': 0.8356687898089172}	{'accuracy': 0.7526366251198466}
0.0657	790.0	316790	1.9572	{'f1': 0.8281150159744408}	{'accuracy': 0.7420901246404602}
0.0687	791.0	317191	1.6156	{'f1': 0.8352344740177441}	{'accuracy': 0.75071907957814}
0.0799	792.0	317592	1.9296	{'f1': 0.8291457286432161}	{'accuracy': 0.7392138063279002}
0.0799	793.0	317993	1.7499	{'f1': 0.8250000000000001}	{'accuracy': 0.7449664429530202}
0.0867	794.0	318394	1.6299	{'f1': 0.8299492385786802}	{'accuracy': 0.7430488974113135}
0.0909	795.0	318795	1.9117	{'f1': 0.8340638697557922}	{'accuracy': 0.7459252157238735}
0.0809	796.0	319196	1.9613	{'f1': 0.8297734627831717}	{'accuracy': 0.74784276126558}
0.0749	797.0	319597	1.6396	{'f1': 0.8310679611650486}	{'accuracy': 0.7497603068072867}
0.0749	798.0	319998	1.6120	{'f1': 0.8314028314028314}	{'accuracy': 0.7488015340364333}
0.0847	799.0	320399	1.6425	{'f1': 0.824583866837388}	{'accuracy': 0.7372962607861937}
0.078	800.0	320800	1.6978	{'f1': 0.8288874430709173}	{'accuracy': 0.74784276126558}
0.0724	801.0	321201	1.6961	{'f1': 0.8359133126934986}	{'accuracy': 0.7459252157238735}
0.0792	802.0	321602	1.5503	{'f1': 0.8367729831144466}	{'accuracy': 0.7497603068072867}
0.0748	803.0	322003	1.8992	{'f1': 0.8280746941403735}	{'accuracy': 0.7440076701821668}
0.0748	804.0	322404	1.6148	{'f1': 0.8312863606981254}	{'accuracy': 0.7497603068072867}
0.0797	805.0	322805	1.3771	{'f1': 0.8356867779204109}	{'accuracy': 0.7545541706615532}
0.0721	806.0	323206	1.5460	{'f1': 0.8330109606705353}	{'accuracy': 0.7516778523489933}
0.0693	807.0	323607	1.7683	{'f1': 0.8272785213511792}	{'accuracy': 0.7401725790987536}
0.0734	808.0	324008	1.7284	{'f1': 0.8343868520859672}	{'accuracy': 0.7488015340364333}
0.0734	809.0	324409	1.7552	{'f1': 0.8250000000000001}	{'accuracy': 0.7449664429530202}
0.0726	810.0	324810	1.5678	{'f1': 0.8229915088177661}	{'accuracy': 0.7401725790987536}
0.0647	811.0	325211	1.6043	{'f1': 0.8272785213511792}	{'accuracy': 0.7401725790987536}
0.0754	812.0	325612	1.6840	{'f1': 0.8125819134993446}	{'accuracy': 0.725790987535954}
0.077	813.0	326013	1.5881	{'f1': 0.8249027237354086}	{'accuracy': 0.7411313518696069}
0.077	814.0	326414	1.6091	{'f1': 0.8333333333333333}	{'accuracy': 0.7488015340364333}
0.078	815.0	326815	1.7158	{'f1': 0.8260309278350516}	{'accuracy': 0.7411313518696069}
0.0789	816.0	327216	1.8127	{'f1': 0.8245161290322582}	{'accuracy': 0.7392138063279002}
0.0821	817.0	327617	1.5526	{'f1': 0.829329962073325}	{'accuracy': 0.7411313518696069}
0.1066	818.0	328018	1.6369	{'f1': 0.8274111675126904}	{'accuracy': 0.7392138063279002}
0.1066	819.0	328419	1.7155	{'f1': 0.8248877485567673}	{'accuracy': 0.738255033557047}
0.0833	820.0	328820	1.7906	{'f1': 0.8295819935691318}	{'accuracy': 0.7459252157238735}
0.0677	821.0	329221	1.6698	{'f1': 0.8154450261780103}	{'accuracy': 0.7296260786193672}
0.0567	822.0	329622	1.6616	{'f1': 0.8149117069980378}	{'accuracy': 0.7286673058485139}
0.0696	823.0	330023	1.7480	{'f1': 0.8207792207792208}	{'accuracy': 0.7353787152444871}
0.0696	824.0	330424	1.7021	{'f1': 0.832901554404145}	{'accuracy': 0.7526366251198466}
0.0637	825.0	330825	1.8576	{'f1': 0.8306148055207027}	{'accuracy': 0.7411313518696069}
0.0622	826.0	331226	1.7855	{'f1': 0.827852998065764}	{'accuracy': 0.7440076701821668}
0.0616	827.0	331627	1.8058	{'f1': 0.8320610687022901}	{'accuracy': 0.7468839884947267}
0.0669	828.0	332028	1.8788	{'f1': 0.8277602523659306}	{'accuracy': 0.738255033557047}
0.0669	829.0	332429	1.5044	{'f1': 0.8311688311688312}	{'accuracy': 0.738255033557047}
0.0735	830.0	332830	1.6616	{'f1': 0.8247291268323773}	{'accuracy': 0.7363374880153404}
0.0731	831.0	333231	1.5163	{'f1': 0.8346951602765557}	{'accuracy': 0.74784276126558}
0.0852	832.0	333632	1.6763	{'f1': 0.8274984086569064}	{'accuracy': 0.7401725790987536}
0.0841	833.0	334033	1.6479	{'f1': 0.8199481865284975}	{'accuracy': 0.7334611697027804}
0.0841	834.0	334434	1.5210	{'f1': 0.8219527760051053}	{'accuracy': 0.7325023969319271}
0.0737	835.0	334835	1.9015	{'f1': 0.8304239401496261}	{'accuracy': 0.7392138063279002}
0.0719	836.0	335236	1.4411	{'f1': 0.8322663252240717}	{'accuracy': 0.7488015340364333}
0.0707	837.0	335637	1.7897	{'f1': 0.829854522454143}	{'accuracy': 0.7420901246404602}
0.0647	838.0	336038	1.9601	{'f1': 0.8256410256410257}	{'accuracy': 0.7392138063279002}
0.0647	839.0	336439	1.8775	{'f1': 0.8143712574850299}	{'accuracy': 0.7325023969319271}
0.064	840.0	336840	1.8816	{'f1': 0.8291746641074856}	{'accuracy': 0.7440076701821668}
0.0561	841.0	337241	1.7983	{'f1': 0.8376830044557607}	{'accuracy': 0.7555129434324065}
0.0655	842.0	337642	1.8836	{'f1': 0.821882951653944}	{'accuracy': 0.7315436241610739}
0.0692	843.0	338043	1.8478	{'f1': 0.8270580727504787}	{'accuracy': 0.7401725790987536}
0.0692	844.0	338444	1.4446	{'f1': 0.8396756082345601}	{'accuracy': 0.7535953978907}
0.0663	845.0	338845	1.5658	{'f1': 0.8411689961880559}	{'accuracy': 0.7603068072866731}
0.0586	846.0	339246	1.8865	{'f1': 0.8326018808777429}	{'accuracy': 0.7440076701821668}
0.0552	847.0	339647	1.7858	{'f1': 0.8378548895899053}	{'accuracy': 0.7535953978907}
0.0584	848.0	340048	1.8641	{'f1': 0.8172757475083057}	{'accuracy': 0.7363374880153404}
0.0584	849.0	340449	1.7978	{'f1': 0.8275862068965517}	{'accuracy': 0.7363374880153404}
0.0625	850.0	340850	1.8177	{'f1': 0.8295165394402036}	{'accuracy': 0.7430488974113135}
0.0642	851.0	341251	1.9229	{'f1': 0.8292367399741268}	{'accuracy': 0.7468839884947267}
0.0645	852.0	341652	1.6049	{'f1': 0.8313878080415046}	{'accuracy': 0.75071907957814}
0.0646	853.0	342053	1.7828	{'f1': 0.8364336112892881}	{'accuracy': 0.7555129434324065}
0.0646	854.0	342454	1.6165	{'f1': 0.8317089018843405}	{'accuracy': 0.7516778523489933}
0.065	855.0	342855	1.4540	{'f1': 0.8247694334650855}	{'accuracy': 0.7449664429530202}
0.0627	856.0	343256	1.7338	{'f1': 0.8290816326530612}	{'accuracy': 0.7430488974113135}
0.0554	857.0	343657	1.6253	{'f1': 0.8222365869424694}	{'accuracy': 0.7363374880153404}
0.0682	858.0	344058	1.8193	{'f1': 0.8330206378986866}	{'accuracy': 0.7440076701821668}
0.0682	859.0	344459	1.7752	{'f1': 0.8175937904269082}	{'accuracy': 0.7296260786193672}
0.0645	860.0	344860	1.9225	{'f1': 0.8244372990353698}	{'accuracy': 0.738255033557047}
0.0672	861.0	345261	2.0787	{'f1': 0.8221649484536082}	{'accuracy': 0.7353787152444871}
0.0587	862.0	345662	1.6293	{'f1': 0.8153946510110893}	{'accuracy': 0.7286673058485139}
0.0616	863.0	346063	1.6871	{'f1': 0.8169200264375412}	{'accuracy': 0.7344199424736337}
0.0616	864.0	346464	1.7080	{'f1': 0.8208386277001269}	{'accuracy': 0.7296260786193672}
0.0727	865.0	346865	1.9486	{'f1': 0.8154450261780103}	{'accuracy': 0.7296260786193672}
0.0558	866.0	347266	1.7920	{'f1': 0.8236048749198204}	{'accuracy': 0.7363374880153404}
0.0727	867.0	347667	1.8969	{'f1': 0.829800899165061}	{'accuracy': 0.7459252157238735}
0.0619	868.0	348068	1.8038	{'f1': 0.8256410256410257}	{'accuracy': 0.7392138063279002}
0.0619	869.0	348469	1.5003	{'f1': 0.8296390120329322}	{'accuracy': 0.7420901246404602}
0.0736	870.0	348870	1.7518	{'f1': 0.827319587628866}	{'accuracy': 0.7430488974113135}
0.0617	871.0	349271	1.8904	{'f1': 0.8250484183344092}	{'accuracy': 0.7401725790987536}
0.0527	872.0	349672	2.0348	{'f1': 0.8282323547782636}	{'accuracy': 0.7363374880153404}
0.0529	873.0	350073	1.7659	{'f1': 0.8319697923222151}	{'accuracy': 0.7440076701821668}
0.0529	874.0	350474	1.5533	{'f1': 0.8315321042593768}	{'accuracy': 0.7459252157238735}
0.0734	875.0	350875	1.9291	{'f1': 0.8331226295828066}	{'accuracy': 0.7468839884947267}
0.0665	876.0	351276	1.8267	{'f1': 0.8384663733500944}	{'accuracy': 0.7535953978907}
0.0563	877.0	351677	1.7734	{'f1': 0.8258642765685019}	{'accuracy': 0.7392138063279002}
0.0673	878.0	352078	1.8179	{'f1': 0.8166776968894771}	{'accuracy': 0.7344199424736337}
0.0673	879.0	352479	1.9985	{'f1': 0.8321722609246357}	{'accuracy': 0.7459252157238735}
0.0518	880.0	352880	1.9234	{'f1': 0.8250950570342205}	{'accuracy': 0.7353787152444871}
0.0659	881.0	353281	1.6614	{'f1': 0.8284789644012944}	{'accuracy': 0.7459252157238735}
0.0669	882.0	353682	1.9936	{'f1': 0.8304761904761905}	{'accuracy': 0.7440076701821668}
0.0537	883.0	354083	1.7532	{'f1': 0.8242894056847546}	{'accuracy': 0.7392138063279002}
0.0537	884.0	354484	1.7972	{'f1': 0.8219895287958114}	{'accuracy': 0.7392138063279002}
0.05	885.0	354885	1.8771	{'f1': 0.8316195372750643}	{'accuracy': 0.7488015340364333}
0.058	886.0	355286	1.5124	{'f1': 0.8170491803278688}	{'accuracy': 0.7325023969319271}
0.0608	887.0	355687	1.7311	{'f1': 0.8195439739413681}	{'accuracy': 0.7344199424736337}
0.0643	888.0	356088	1.9484	{'f1': 0.8275426405559065}	{'accuracy': 0.738255033557047}
0.0643	889.0	356489	2.0468	{'f1': 0.8303341902313626}	{'accuracy': 0.7468839884947267}
0.0585	890.0	356890	1.8950	{'f1': 0.8176431863067807}	{'accuracy': 0.7344199424736337}
0.0602	891.0	357291	1.7136	{'f1': 0.8262548262548263}	{'accuracy': 0.7411313518696069}
0.0645	892.0	357692	1.6685	{'f1': 0.8278021289918598}	{'accuracy': 0.7363374880153404}
0.0608	893.0	358093	1.9667	{'f1': 0.8268015170670038}	{'accuracy': 0.7372962607861937}
0.0608	894.0	358494	2.0337	{'f1': 0.8335435056746532}	{'accuracy': 0.7468839884947267}
0.0496	895.0	358895	1.8688	{'f1': 0.8263933376041}	{'accuracy': 0.7401725790987536}
0.0577	896.0	359296	1.9173	{'f1': 0.8255591054313098}	{'accuracy': 0.738255033557047}
0.0619	897.0	359697	1.7351	{'f1': 0.8244372990353698}	{'accuracy': 0.738255033557047}
0.0627	898.0	360098	2.0481	{'f1': 0.8259773013871374}	{'accuracy': 0.7353787152444871}
0.0627	899.0	360499	1.8965	{'f1': 0.8181818181818181}	{'accuracy': 0.7315436241610739}
0.0618	900.0	360900	2.1470	{'f1': 0.8351920693928129}	{'accuracy': 0.7449664429530202}
0.053	901.0	361301	2.0562	{'f1': 0.826115061409179}	{'accuracy': 0.7420901246404602}
0.0549	902.0	361702	1.9612	{'f1': 0.8132450331125828}	{'accuracy': 0.7296260786193672}
0.0565	903.0	362103	2.0500	{'f1': 0.835633626097867}	{'accuracy': 0.7488015340364333}
0.0588	904.0	362504	1.9129	{'f1': 0.8224061107574794}	{'accuracy': 0.7325023969319271}
0.0588	905.0	362905	1.9839	{'f1': 0.8202824133504493}	{'accuracy': 0.7315436241610739}
0.063	906.0	363306	1.7871	{'f1': 0.8116710875331565}	{'accuracy': 0.7277085330776606}
0.047	907.0	363707	2.1950	{'f1': 0.8220392653578215}	{'accuracy': 0.7305848513902206}
0.0532	908.0	364108	1.7760	{'f1': 0.8233034571062741}	{'accuracy': 0.7353787152444871}
0.0612	909.0	364509	2.0076	{'f1': 0.8252551020408163}	{'accuracy': 0.7372962607861937}
0.0612	910.0	364910	1.9677	{'f1': 0.8255959849435383}	{'accuracy': 0.7334611697027804}
0.0478	911.0	365311	2.1461	{'f1': 0.8176656151419559}	{'accuracy': 0.7229146692233941}
0.0466	912.0	365712	1.8738	{'f1': 0.8213367609254499}	{'accuracy': 0.7334611697027804}
0.0579	913.0	366113	2.3373	{'f1': 0.8294815740162399}	{'accuracy': 0.738255033557047}
0.054	914.0	366514	1.7232	{'f1': 0.8282051282051283}	{'accuracy': 0.7430488974113135}
0.054	915.0	366915	2.0443	{'f1': 0.8259473346178547}	{'accuracy': 0.7401725790987536}
0.05	916.0	367316	1.5183	{'f1': 0.8142292490118578}	{'accuracy': 0.7296260786193672}
0.0539	917.0	367717	1.7512	{'f1': 0.8329048843187661}	{'accuracy': 0.75071907957814}
0.0563	918.0	368118	1.9875	{'f1': 0.8280254777070063}	{'accuracy': 0.7411313518696069}
0.0437	919.0	368519	1.8267	{'f1': 0.8324808184143223}	{'accuracy': 0.7488015340364333}
0.0437	920.0	368920	2.0118	{'f1': 0.8289218850871531}	{'accuracy': 0.7459252157238735}
0.047	921.0	369321	1.6547	{'f1': 0.8242038216560509}	{'accuracy': 0.7353787152444871}
0.0593	922.0	369722	1.5575	{'f1': 0.8311195445920303}	{'accuracy': 0.7440076701821668}
0.0473	923.0	370123	1.8466	{'f1': 0.8326898326898327}	{'accuracy': 0.75071907957814}
0.0468	924.0	370524	1.9781	{'f1': 0.8302606484424666}	{'accuracy': 0.7440076701821668}
0.0468	925.0	370925	1.9146	{'f1': 0.833756345177665}	{'accuracy': 0.7488015340364333}
0.0596	926.0	371326	1.9570	{'f1': 0.8186528497409328}	{'accuracy': 0.7315436241610739}
0.0518	927.0	371727	1.9638	{'f1': 0.8305941845764855}	{'accuracy': 0.7430488974113135}
0.0513	928.0	372128	1.9971	{'f1': 0.8241206030150754}	{'accuracy': 0.7315436241610739}
0.0566	929.0	372529	1.7928	{'f1': 0.8322903629536921}	{'accuracy': 0.7430488974113135}
0.0566	930.0	372930	2.0826	{'f1': 0.8288288288288289}	{'accuracy': 0.7449664429530202}
0.0446	931.0	373331	1.8652	{'f1': 0.8330206378986866}	{'accuracy': 0.7440076701821668}
0.0505	932.0	373732	2.0375	{'f1': 0.8231511254019293}	{'accuracy': 0.7363374880153404}
0.0573	933.0	374133	1.9296	{'f1': 0.8267868641339344}	{'accuracy': 0.7420901246404602}
0.0512	934.0	374534	1.7201	{'f1': 0.8272318561335902}	{'accuracy': 0.7420901246404602}
0.0512	935.0	374935	1.8283	{'f1': 0.8269105160026127}	{'accuracy': 0.7459252157238735}
0.0496	936.0	375336	1.8695	{'f1': 0.8302370275464446}	{'accuracy': 0.7459252157238735}
0.0506	937.0	375737	1.8224	{'f1': 0.8363636363636364}	{'accuracy': 0.7497603068072867}
0.0507	938.0	376138	1.4660	{'f1': 0.8222365869424694}	{'accuracy': 0.7363374880153404}
0.0468	939.0	376539	1.7886	{'f1': 0.8268229166666667}	{'accuracy': 0.7449664429530202}
0.0468	940.0	376940	1.6891	{'f1': 0.8278481012658229}	{'accuracy': 0.7392138063279002}
0.0502	941.0	377341	1.8587	{'f1': 0.8294871794871795}	{'accuracy': 0.7449664429530202}
0.0555	942.0	377742	1.6288	{'f1': 0.8283870967741936}	{'accuracy': 0.7449664429530202}
0.0552	943.0	378143	1.8918	{'f1': 0.8338557993730408}	{'accuracy': 0.7459252157238735}
0.0484	944.0	378544	1.6034	{'f1': 0.8348045397225725}	{'accuracy': 0.7488015340364333}
0.0484	945.0	378945	1.6004	{'f1': 0.8313176320814768}	{'accuracy': 0.7459252157238735}
0.0449	946.0	379346	1.7327	{'f1': 0.8247422680412371}	{'accuracy': 0.7392138063279002}
0.0547	947.0	379747	1.7965	{'f1': 0.8366583541147131}	{'accuracy': 0.7488015340364333}
0.0589	948.0	380148	1.8772	{'f1': 0.8312342569269522}	{'accuracy': 0.7430488974113135}
0.0467	949.0	380549	1.8667	{'f1': 0.8309859154929577}	{'accuracy': 0.7468839884947267}
0.0467	950.0	380950	1.7300	{'f1': 0.8239116309291746}	{'accuracy': 0.7401725790987536}
0.0531	951.0	381351	1.7394	{'f1': 0.8316062176165803}	{'accuracy': 0.75071907957814}
0.0549	952.0	381752	1.7380	{'f1': 0.8256880733944955}	{'accuracy': 0.7449664429530202}
0.0546	953.0	382153	1.6837	{'f1': 0.8263624841571611}	{'accuracy': 0.7372962607861937}
0.0494	954.0	382554	1.7504	{'f1': 0.8331193838254173}	{'accuracy': 0.75071907957814}
0.0494	955.0	382955	1.4391	{'f1': 0.8391608391608393}	{'accuracy': 0.7574304889741131}
0.0475	956.0	383356	1.9422	{'f1': 0.8336495888678052}	{'accuracy': 0.74784276126558}
0.0422	957.0	383757	1.7187	{'f1': 0.8315926892950393}	{'accuracy': 0.7526366251198466}
0.0509	958.0	384158	1.8770	{'f1': 0.8409090909090908}	{'accuracy': 0.7583892617449665}
0.0477	959.0	384559	1.8478	{'f1': 0.8409090909090908}	{'accuracy': 0.7583892617449665}
0.0477	960.0	384960	1.9650	{'f1': 0.8310854206807964}	{'accuracy': 0.74784276126558}
0.0491	961.0	385361	1.4039	{'f1': 0.8290488431876606}	{'accuracy': 0.7449664429530202}
0.0539	962.0	385762	1.3723	{'f1': 0.841640378548896}	{'accuracy': 0.7593480345158198}
0.0592	963.0	386163	1.8567	{'f1': 0.8410636982065552}	{'accuracy': 0.7535953978907}
0.0498	964.0	386564	1.8637	{'f1': 0.826530612244898}	{'accuracy': 0.7392138063279002}
0.0498	965.0	386965	1.9139	{'f1': 0.8291457286432161}	{'accuracy': 0.7392138063279002}
0.0644	966.0	387366	2.2817	{'f1': 0.8256997455470738}	{'accuracy': 0.7372962607861937}
0.0537	967.0	387767	1.7303	{'f1': 0.8210116731517509}	{'accuracy': 0.7353787152444871}
0.0514	968.0	388168	1.9495	{'f1': 0.8285714285714286}	{'accuracy': 0.7468839884947267}
0.0562	969.0	388569	2.0382	{'f1': 0.8236808236808237}	{'accuracy': 0.7372962607861937}
0.0562	970.0	388970	2.0543	{'f1': 0.8268370607028754}	{'accuracy': 0.7401725790987536}
0.0499	971.0	389371	1.5281	{'f1': 0.8199335548172757}	{'accuracy': 0.7401725790987536}
0.0509	972.0	389772	2.0791	{'f1': 0.8371802869619464}	{'accuracy': 0.7497603068072867}
0.0533	973.0	390173	1.8903	{'f1': 0.834902699309479}	{'accuracy': 0.74784276126558}
0.0627	974.0	390574	1.6441	{'f1': 0.8245054243777918}	{'accuracy': 0.7363374880153404}
0.0627	975.0	390975	1.8095	{'f1': 0.8326848249027238}	{'accuracy': 0.7526366251198466}
0.053	976.0	391376	1.5973	{'f1': 0.8221498371335504}	{'accuracy': 0.738255033557047}
0.0483	977.0	391777	1.7779	{'f1': 0.8310387984981228}	{'accuracy': 0.7411313518696069}
0.0508	978.0	392178	1.9869	{'f1': 0.8371802869619464}	{'accuracy': 0.7497603068072867}
0.0461	979.0	392579	1.8451	{'f1': 0.8415164698570541}	{'accuracy': 0.7555129434324065}
0.0461	980.0	392980	1.9804	{'f1': 0.8317698561601}	{'accuracy': 0.7420901246404602}
0.0474	981.0	393381	1.8535	{'f1': 0.8329113924050634}	{'accuracy': 0.7468839884947267}
0.0432	982.0	393782	1.7515	{'f1': 0.8283485045513654}	{'accuracy': 0.7468839884947267}
0.0404	983.0	394183	1.8558	{'f1': 0.8338637810311904}	{'accuracy': 0.7497603068072867}
0.0459	984.0	394584	1.8568	{'f1': 0.8160103292446741}	{'accuracy': 0.7267497603068073}
0.0459	985.0	394985	2.0867	{'f1': 0.8314321926489228}	{'accuracy': 0.7449664429530202}
0.0537	986.0	395386	1.8685	{'f1': 0.8228423101881894}	{'accuracy': 0.738255033557047}
0.0459	987.0	395787	1.8398	{'f1': 0.8324808184143223}	{'accuracy': 0.7488015340364333}
0.0473	988.0	396188	1.8249	{'f1': 0.8293625241468126}	{'accuracy': 0.7459252157238735}
0.0376	989.0	396589	1.8981	{'f1': 0.8330134357005758}	{'accuracy': 0.7497603068072867}
0.0376	990.0	396990	1.8566	{'f1': 0.8285163776493256}	{'accuracy': 0.7440076701821668}
0.0515	991.0	397391	2.0520	{'f1': 0.8168089297439263}	{'accuracy': 0.7325023969319271}
0.0473	992.0	397792	1.9624	{'f1': 0.831824062095731}	{'accuracy': 0.75071907957814}
0.0448	993.0	398193	1.7534	{'f1': 0.836223506743738}	{'accuracy': 0.7555129434324065}
0.051	994.0	398594	1.9407	{'f1': 0.8350383631713555}	{'accuracy': 0.7526366251198466}
0.051	995.0	398995	2.0456	{'f1': 0.8267008985879333}	{'accuracy': 0.7411313518696069}
0.0401	996.0	399396	1.8936	{'f1': 0.8354430379746837}	{'accuracy': 0.75071907957814}
0.0417	997.0	399797	2.1521	{'f1': 0.8291457286432161}	{'accuracy': 0.7392138063279002}
0.0474	998.0	400198	1.8679	{'f1': 0.8367088607594937}	{'accuracy': 0.7526366251198466}
0.0422	999.0	400599	1.8171	{'f1': 0.8284789644012944}	{'accuracy': 0.7459252157238735}
0.0387	1000.0	401000	2.0479	{'f1': 0.8294573643410853}	{'accuracy': 0.7468839884947267}
0.0387	1001.0	401401	1.9655	{'f1': 0.8349267049075845}	{'accuracy': 0.7516778523489933}
0.0399	1002.0	401802	1.9896	{'f1': 0.8336544637122671}	{'accuracy': 0.7516778523489933}
0.0401	1003.0	402203	2.0996	{'f1': 0.8303341902313626}	{'accuracy': 0.7468839884947267}
0.0447	1004.0	402604	1.9362	{'f1': 0.8347055098163394}	{'accuracy': 0.7497603068072867}
0.0459	1005.0	403005	1.9017	{'f1': 0.8260309278350516}	{'accuracy': 0.7411313518696069}
0.0459	1006.0	403406	1.9982	{'f1': 0.8391521197007481}	{'accuracy': 0.7526366251198466}
0.0414	1007.0	403807	1.8253	{'f1': 0.834726688102894}	{'accuracy': 0.7535953978907}
0.0454	1008.0	404208	1.5382	{'f1': 0.8425096030729833}	{'accuracy': 0.7641418983700863}
0.0496	1009.0	404609	2.0139	{'f1': 0.8321543408360128}	{'accuracy': 0.7497603068072867}
0.0397	1010.0	405010	1.9407	{'f1': 0.8230719377835385}	{'accuracy': 0.738255033557047}
0.0397	1011.0	405411	2.3346	{'f1': 0.8286445012787724}	{'accuracy': 0.7430488974113135}
0.0351	1012.0	405812	2.2790	{'f1': 0.8296668761785041}	{'accuracy': 0.7401725790987536}
0.0371	1013.0	406213	2.1803	{'f1': 0.8155981493721084}	{'accuracy': 0.7325023969319271}
0.0386	1014.0	406614	2.0979	{'f1': 0.8133595284872297}	{'accuracy': 0.7267497603068073}
0.0378	1015.0	407015	2.3163	{'f1': 0.8133595284872297}	{'accuracy': 0.7267497603068073}
0.0378	1016.0	407416	1.5949	{'f1': 0.8145695364238411}	{'accuracy': 0.7315436241610739}
0.0396	1017.0	407817	2.0203	{'f1': 0.8380716934487022}	{'accuracy': 0.7488015340364333}
0.0422	1018.0	408218	1.4970	{'f1': 0.8274078862314156}	{'accuracy': 0.7440076701821668}
0.0427	1019.0	408619	1.7483	{'f1': 0.8308295231874592}	{'accuracy': 0.7516778523489933}
0.0419	1020.0	409020	1.9940	{'f1': 0.8418399495904222}	{'accuracy': 0.7593480345158198}
0.0419	1021.0	409421	1.9882	{'f1': 0.8311026131293818}	{'accuracy': 0.7459252157238735}
0.0458	1022.0	409822	2.1333	{'f1': 0.8312182741116751}	{'accuracy': 0.7449664429530202}
0.0361	1023.0	410223	2.0099	{'f1': 0.8260869565217391}	{'accuracy': 0.7392138063279002}
0.0426	1024.0	410624	2.4057	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.0366	1025.0	411025	1.8517	{'f1': 0.8339719029374203}	{'accuracy': 0.75071907957814}
0.0366	1026.0	411426	1.9566	{'f1': 0.8303571428571429}	{'accuracy': 0.7449664429530202}
0.0445	1027.0	411827	1.9391	{'f1': 0.8300445576066201}	{'accuracy': 0.7440076701821668}
0.0375	1028.0	412228	1.7986	{'f1': 0.8306503541532518}	{'accuracy': 0.74784276126558}
0.0482	1029.0	412629	2.2600	{'f1': 0.8169200264375412}	{'accuracy': 0.7344199424736337}
0.0417	1030.0	413030	1.9349	{'f1': 0.8308870453095086}	{'accuracy': 0.7459252157238735}
0.0417	1031.0	413431	1.8199	{'f1': 0.8260869565217391}	{'accuracy': 0.7392138063279002}
0.0434	1032.0	413832	1.8392	{'f1': 0.8267868641339344}	{'accuracy': 0.7420901246404602}
0.0378	1033.0	414233	2.0467	{'f1': 0.8287363694676073}	{'accuracy': 0.7440076701821668}
0.0478	1034.0	414634	1.9830	{'f1': 0.8338637810311904}	{'accuracy': 0.7497603068072867}
0.044	1035.0	415035	2.0118	{'f1': 0.8354430379746837}	{'accuracy': 0.75071907957814}
0.044	1036.0	415436	1.8267	{'f1': 0.8259740259740261}	{'accuracy': 0.7430488974113135}
0.0452	1037.0	415837	2.1524	{'f1': 0.8294815740162399}	{'accuracy': 0.738255033557047}
0.0401	1038.0	416238	2.1791	{'f1': 0.8253968253968254}	{'accuracy': 0.7363374880153404}
0.0324	1039.0	416639	2.0126	{'f1': 0.824952259707193}	{'accuracy': 0.7363374880153404}
0.0424	1040.0	417040	2.0584	{'f1': 0.8207792207792208}	{'accuracy': 0.7353787152444871}
0.0424	1041.0	417441	2.0091	{'f1': 0.8282958199356913}	{'accuracy': 0.7440076701821668}
0.0399	1042.0	417842	1.7455	{'f1': 0.8360864040660737}	{'accuracy': 0.7526366251198466}
0.0385	1043.0	418243	2.2168	{'f1': 0.8326898326898327}	{'accuracy': 0.75071907957814}
0.0413	1044.0	418644	2.0400	{'f1': 0.8279845956354299}	{'accuracy': 0.7430488974113135}
0.0441	1045.0	419045	2.1525	{'f1': 0.8292063492063492}	{'accuracy': 0.7420901246404602}
0.0441	1046.0	419446	2.0888	{'f1': 0.8279009126466753}	{'accuracy': 0.7468839884947267}
0.0458	1047.0	419847	1.8725	{'f1': 0.8346253229974161}	{'accuracy': 0.7545541706615532}
0.0491	1048.0	420248	1.7848	{'f1': 0.8342857142857142}	{'accuracy': 0.7497603068072867}
0.0415	1049.0	420649	2.0577	{'f1': 0.8252740167633785}	{'accuracy': 0.7401725790987536}
0.0401	1050.0	421050	1.8128	{'f1': 0.8284625158831004}	{'accuracy': 0.7411313518696069}
0.0401	1051.0	421451	2.0074	{'f1': 0.824952259707193}	{'accuracy': 0.7363374880153404}
0.0366	1052.0	421852	2.1711	{'f1': 0.8292993630573249}	{'accuracy': 0.7430488974113135}
0.0438	1053.0	422253	1.8598	{'f1': 0.8210116731517509}	{'accuracy': 0.7353787152444871}
0.046	1054.0	422654	1.7502	{'f1': 0.8323699421965319}	{'accuracy': 0.7497603068072867}
0.0445	1055.0	423055	1.9086	{'f1': 0.8385876418663304}	{'accuracy': 0.7545541706615532}
0.0445	1056.0	423456	1.8675	{'f1': 0.8268082282680823}	{'accuracy': 0.7497603068072867}
0.0435	1057.0	423857	1.8161	{'f1': 0.8331143232588699}	{'accuracy': 0.7564717162032598}
0.0406	1058.0	424258	2.0120	{'f1': 0.8375634517766497}	{'accuracy': 0.7545541706615532}
0.0383	1059.0	424659	1.7243	{'f1': 0.8424396442185516}	{'accuracy': 0.7622243528283796}
0.0458	1060.0	425060	2.0215	{'f1': 0.8415716096324461}	{'accuracy': 0.7603068072866731}
0.0458	1061.0	425461	1.9361	{'f1': 0.8279499011206328}	{'accuracy': 0.7497603068072867}
0.0402	1062.0	425862	2.1046	{'f1': 0.8374760994263862}	{'accuracy': 0.7555129434324065}
0.0272	1063.0	426263	2.0315	{'f1': 0.8340750158931978}	{'accuracy': 0.7497603068072867}
0.0475	1064.0	426664	2.1408	{'f1': 0.8339622641509433}	{'accuracy': 0.7468839884947267}
0.0327	1065.0	427065	1.7846	{'f1': 0.8300907911802854}	{'accuracy': 0.7488015340364333}
0.0327	1066.0	427466	2.0336	{'f1': 0.8316195372750643}	{'accuracy': 0.7488015340364333}
0.0417	1067.0	427867	2.1308	{'f1': 0.8266666666666668}	{'accuracy': 0.738255033557047}
0.0427	1068.0	428268	1.8253	{'f1': 0.8303571428571429}	{'accuracy': 0.7449664429530202}
0.038	1069.0	428669	1.9140	{'f1': 0.8255591054313098}	{'accuracy': 0.738255033557047}
0.0409	1070.0	429070	2.3088	{'f1': 0.8303797468354431}	{'accuracy': 0.7430488974113135}
0.0409	1071.0	429471	2.2927	{'f1': 0.8332276474318325}	{'accuracy': 0.74784276126558}
0.035	1072.0	429872	1.8840	{'f1': 0.8314321926489228}	{'accuracy': 0.7449664429530202}
0.0317	1073.0	430273	1.9991	{'f1': 0.8285895003162556}	{'accuracy': 0.7401725790987536}
0.0385	1074.0	430674	2.0446	{'f1': 0.8279365079365079}	{'accuracy': 0.7401725790987536}
0.0312	1075.0	431075	2.0173	{'f1': 0.8257477243172952}	{'accuracy': 0.7430488974113135}
0.0312	1076.0	431476	1.9649	{'f1': 0.8257123923127899}	{'accuracy': 0.74784276126558}
0.0382	1077.0	431877	1.9213	{'f1': 0.828334396936822}	{'accuracy': 0.7420901246404602}
0.0325	1078.0	432278	2.1540	{'f1': 0.8330109606705353}	{'accuracy': 0.7516778523489933}
0.036	1079.0	432679	2.0046	{'f1': 0.8321358589157414}	{'accuracy': 0.7535953978907}
0.032	1080.0	433080	1.9144	{'f1': 0.8304093567251463}	{'accuracy': 0.7497603068072867}
0.032	1081.0	433481	1.7965	{'f1': 0.8331226295828066}	{'accuracy': 0.7468839884947267}
0.0326	1082.0	433882	2.3401	{'f1': 0.8340638697557922}	{'accuracy': 0.7459252157238735}
0.0373	1083.0	434283	1.9951	{'f1': 0.8366179275270186}	{'accuracy': 0.7535953978907}
0.0354	1084.0	434684	1.8351	{'f1': 0.8361581920903955}	{'accuracy': 0.7497603068072867}
0.0379	1085.0	435085	1.7565	{'f1': 0.8311195445920303}	{'accuracy': 0.7440076701821668}
0.0379	1086.0	435486	2.0074	{'f1': 0.827496757457847}	{'accuracy': 0.7449664429530202}
0.0294	1087.0	435887	1.7062	{'f1': 0.8351507376523413}	{'accuracy': 0.7535953978907}
0.0399	1088.0	436288	2.0527	{'f1': 0.8288288288288289}	{'accuracy': 0.7449664429530202}
0.033	1089.0	436689	1.7937	{'f1': 0.8333333333333333}	{'accuracy': 0.7488015340364333}
0.0325	1090.0	437090	2.1899	{'f1': 0.8218465539661899}	{'accuracy': 0.7372962607861937}
0.0325	1091.0	437491	2.0416	{'f1': 0.8346153846153845}	{'accuracy': 0.7526366251198466}
0.0343	1092.0	437892	2.1439	{'f1': 0.8117099135063207}	{'accuracy': 0.7286673058485139}
0.036	1093.0	438293	2.0538	{'f1': 0.8200890019071837}	{'accuracy': 0.7286673058485139}
0.0322	1094.0	438694	2.0835	{'f1': 0.8191978961209729}	{'accuracy': 0.7363374880153404}
0.0289	1095.0	439095	2.1115	{'f1': 0.8272318561335902}	{'accuracy': 0.7420901246404602}
0.0289	1096.0	439496	2.0478	{'f1': 0.8197368421052631}	{'accuracy': 0.7372962607861937}
0.034	1097.0	439897	2.2200	{'f1': 0.8237572627501615}	{'accuracy': 0.738255033557047}
0.0279	1098.0	440298	2.1914	{'f1': 0.825147347740668}	{'accuracy': 0.7440076701821668}
0.0313	1099.0	440699	2.1082	{'f1': 0.8311026131293818}	{'accuracy': 0.7459252157238735}
0.0295	1100.0	441100	2.1718	{'f1': 0.8235294117647058}	{'accuracy': 0.7411313518696069}
0.0319	1101.0	441501	1.6767	{'f1': 0.8283870967741936}	{'accuracy': 0.7449664429530202}
0.0319	1102.0	441902	1.9520	{'f1': 0.8229166666666666}	{'accuracy': 0.7392138063279002}
0.0266	1103.0	442303	2.0818	{'f1': 0.8239074550128535}	{'accuracy': 0.7372962607861937}
0.0303	1104.0	442704	2.0768	{'f1': 0.8201438848920863}	{'accuracy': 0.7363374880153404}
0.0401	1105.0	443105	2.1110	{'f1': 0.8216145833333334}	{'accuracy': 0.7372962607861937}
0.0276	1106.0	443506	2.2895	{'f1': 0.8267515923566878}	{'accuracy': 0.7392138063279002}
0.0276	1107.0	443907	2.1953	{'f1': 0.8209718670076727}	{'accuracy': 0.7315436241610739}
0.0298	1108.0	444308	2.0686	{'f1': 0.8286445012787724}	{'accuracy': 0.7430488974113135}
0.0439	1109.0	444709	2.0133	{'f1': 0.829733163913596}	{'accuracy': 0.7430488974113135}
0.0317	1110.0	445110	1.6669	{'f1': 0.8236074270557029}	{'accuracy': 0.7449664429530202}
0.0368	1111.0	445511	1.9307	{'f1': 0.824583866837388}	{'accuracy': 0.7372962607861937}
0.0368	1112.0	445912	2.1902	{'f1': 0.8193717277486912}	{'accuracy': 0.7353787152444871}
0.0265	1113.0	446313	2.1701	{'f1': 0.8236057068741893}	{'accuracy': 0.7392138063279002}
0.0332	1114.0	446714	2.3489	{'f1': 0.824952259707193}	{'accuracy': 0.7363374880153404}
0.0282	1115.0	447115	1.8751	{'f1': 0.8278950735764556}	{'accuracy': 0.7420901246404602}
0.0333	1116.0	447516	2.3421	{'f1': 0.8259212198221093}	{'accuracy': 0.7372962607861937}
0.0333	1117.0	447917	2.0774	{'f1': 0.831824062095731}	{'accuracy': 0.75071907957814}
0.0276	1118.0	448318	2.0899	{'f1': 0.8292063492063492}	{'accuracy': 0.7420901246404602}
0.0365	1119.0	448719	1.8072	{'f1': 0.8270096463022508}	{'accuracy': 0.7420901246404602}
0.0288	1120.0	449120	2.1608	{'f1': 0.8206131767775604}	{'accuracy': 0.7363374880153404}
0.034	1121.0	449521	2.1162	{'f1': 0.8348909657320873}	{'accuracy': 0.7459252157238735}
0.034	1122.0	449922	1.9594	{'f1': 0.8159268929503917}	{'accuracy': 0.7296260786193672}
0.0375	1123.0	450323	1.8401	{'f1': 0.8347160178685386}	{'accuracy': 0.7516778523489933}
0.0319	1124.0	450724	2.3512	{'f1': 0.8212435233160622}	{'accuracy': 0.7353787152444871}
0.0217	1125.0	451125	1.8755	{'f1': 0.8198837959974177}	{'accuracy': 0.7325023969319271}
0.0278	1126.0	451526	2.3428	{'f1': 0.8281938325991189}	{'accuracy': 0.738255033557047}
0.0278	1127.0	451927	2.0704	{'f1': 0.8227767114523353}	{'accuracy': 0.7344199424736337}
0.0307	1128.0	452328	2.3593	{'f1': 0.8218135700697528}	{'accuracy': 0.7305848513902206}
0.0262	1129.0	452729	2.1589	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.0284	1130.0	453130	2.1384	{'f1': 0.8233766233766234}	{'accuracy': 0.7392138063279002}
0.024	1131.0	453531	2.2453	{'f1': 0.8287714831317633}	{'accuracy': 0.7420901246404602}
0.024	1132.0	453932	2.1603	{'f1': 0.8224661071659135}	{'accuracy': 0.7363374880153404}
0.0247	1133.0	454333	2.1675	{'f1': 0.8300192431045542}	{'accuracy': 0.7459252157238735}
0.0288	1134.0	454734	2.0671	{'f1': 0.8266841072596469}	{'accuracy': 0.7459252157238735}
0.0247	1135.0	455135	2.0866	{'f1': 0.8284409654272668}	{'accuracy': 0.74784276126558}
0.0244	1136.0	455536	2.5004	{'f1': 0.8364544319600501}	{'accuracy': 0.7488015340364333}
0.0244	1137.0	455937	1.8364	{'f1': 0.8258899676375405}	{'accuracy': 0.7420901246404602}
0.0277	1138.0	456338	2.0476	{'f1': 0.8149134487350199}	{'accuracy': 0.7334611697027804}
0.0233	1139.0	456739	2.2254	{'f1': 0.8193717277486912}	{'accuracy': 0.7353787152444871}
0.0251	1140.0	457140	2.3250	{'f1': 0.8329113924050634}	{'accuracy': 0.7468839884947267}
0.0285	1141.0	457541	1.7710	{'f1': 0.8298807281858129}	{'accuracy': 0.7401725790987536}
0.0285	1142.0	457942	2.1800	{'f1': 0.8258642765685019}	{'accuracy': 0.7392138063279002}
0.0355	1143.0	458343	2.1469	{'f1': 0.8341836734693877}	{'accuracy': 0.75071907957814}
0.0264	1144.0	458744	2.2840	{'f1': 0.8303571428571429}	{'accuracy': 0.7449664429530202}
0.0341	1145.0	459145	2.3483	{'f1': 0.8258642765685019}	{'accuracy': 0.7392138063279002}
0.0262	1146.0	459546	2.1728	{'f1': 0.8344958782498415}	{'accuracy': 0.7497603068072867}
0.0262	1147.0	459947	2.1554	{'f1': 0.8356867779204109}	{'accuracy': 0.7545541706615532}
0.0192	1148.0	460348	2.2331	{'f1': 0.827766863130321}	{'accuracy': 0.74784276126558}
0.0251	1149.0	460749	1.7875	{'f1': 0.8100595632031767}	{'accuracy': 0.7248322147651006}
0.0336	1150.0	461150	1.7772	{'f1': 0.8302130406714009}	{'accuracy': 0.74784276126558}
0.0255	1151.0	461551	2.4571	{'f1': 0.8197146562905318}	{'accuracy': 0.7334611697027804}
0.0255	1152.0	461952	1.9385	{'f1': 0.8333333333333333}	{'accuracy': 0.75071907957814}
0.0251	1153.0	462353	2.0240	{'f1': 0.831824062095731}	{'accuracy': 0.75071907957814}
0.0315	1154.0	462754	2.1138	{'f1': 0.822295081967213}	{'accuracy': 0.7401725790987536}
0.0285	1155.0	463155	1.8479	{'f1': 0.8338637810311904}	{'accuracy': 0.7497603068072867}
0.0289	1156.0	463556	1.7001	{'f1': 0.8423772609819122}	{'accuracy': 0.7660594439117929}
0.0289	1157.0	463957	1.9604	{'f1': 0.8299674267100977}	{'accuracy': 0.7497603068072867}
0.0253	1158.0	464358	1.9619	{'f1': 0.8274078862314156}	{'accuracy': 0.7440076701821668}
0.0244	1159.0	464759	1.8949	{'f1': 0.8300907911802854}	{'accuracy': 0.7488015340364333}
0.0313	1160.0	465160	2.1597	{'f1': 0.8286082474226804}	{'accuracy': 0.7449664429530202}
0.0261	1161.0	465561	1.9821	{'f1': 0.8255591054313098}	{'accuracy': 0.738255033557047}
0.0261	1162.0	465962	2.1857	{'f1': 0.8176431863067807}	{'accuracy': 0.7344199424736337}
0.029	1163.0	466363	2.1166	{'f1': 0.8387909319899244}	{'accuracy': 0.7545541706615532}
0.0261	1164.0	466764	1.8483	{'f1': 0.8328035600762874}	{'accuracy': 0.74784276126558}
0.0351	1165.0	467165	2.3461	{'f1': 0.8400503778337531}	{'accuracy': 0.7564717162032598}
0.0307	1166.0	467566	1.8958	{'f1': 0.8302130406714009}	{'accuracy': 0.74784276126558}
0.0307	1167.0	467967	2.2515	{'f1': 0.8396756082345601}	{'accuracy': 0.7535953978907}
0.032	1168.0	468368	2.0415	{'f1': 0.8245161290322582}	{'accuracy': 0.7392138063279002}
0.0261	1169.0	468769	2.1267	{'f1': 0.8290544771446462}	{'accuracy': 0.738255033557047}
0.0252	1170.0	469170	1.9581	{'f1': 0.8351920693928129}	{'accuracy': 0.7449664429530202}
0.0282	1171.0	469571	2.2856	{'f1': 0.8324873096446701}	{'accuracy': 0.7468839884947267}
0.0282	1172.0	469972	1.5806	{'f1': 0.8210526315789474}	{'accuracy': 0.7392138063279002}
0.0282	1173.0	470373	2.1697	{'f1': 0.8278061224489797}	{'accuracy': 0.7411313518696069}
0.0257	1174.0	470774	2.0497	{'f1': 0.8205128205128205}	{'accuracy': 0.7315436241610739}
0.0284	1175.0	471175	2.0062	{'f1': 0.8239116309291746}	{'accuracy': 0.7401725790987536}
0.0247	1176.0	471576	2.0744	{'f1': 0.8295528191834091}	{'accuracy': 0.74784276126558}
0.0247	1177.0	471977	2.0644	{'f1': 0.8282958199356913}	{'accuracy': 0.7440076701821668}
0.0246	1178.0	472378	1.9425	{'f1': 0.8264462809917356}	{'accuracy': 0.738255033557047}
0.0258	1179.0	472779	2.0111	{'f1': 0.826115061409179}	{'accuracy': 0.7420901246404602}
0.0301	1180.0	473180	2.0453	{'f1': 0.8275409836065574}	{'accuracy': 0.74784276126558}
0.0249	1181.0	473581	2.1908	{'f1': 0.8126259234385493}	{'accuracy': 0.7325023969319271}
0.0249	1182.0	473982	2.1434	{'f1': 0.8273145108338806}	{'accuracy': 0.74784276126558}
0.0287	1183.0	474383	2.2395	{'f1': 0.8293625241468126}	{'accuracy': 0.7459252157238735}
0.0278	1184.0	474784	2.1147	{'f1': 0.8288288288288289}	{'accuracy': 0.7449664429530202}
0.0227	1185.0	475185	2.2722	{'f1': 0.8314028314028314}	{'accuracy': 0.7488015340364333}
0.0291	1186.0	475586	2.0488	{'f1': 0.8289557975656631}	{'accuracy': 0.7440076701821668}
0.0291	1187.0	475987	1.8904	{'f1': 0.827319587628866}	{'accuracy': 0.7430488974113135}
0.0301	1188.0	476388	2.1522	{'f1': 0.8287007110536523}	{'accuracy': 0.7459252157238735}
0.0202	1189.0	476789	2.1699	{'f1': 0.8250950570342205}	{'accuracy': 0.7353787152444871}
0.0249	1190.0	477190	2.3452	{'f1': 0.822695035460993}	{'accuracy': 0.7363374880153404}
0.0236	1191.0	477591	2.4132	{'f1': 0.827852998065764}	{'accuracy': 0.7440076701821668}
0.0236	1192.0	477992	2.0993	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.0227	1193.0	478393	2.2398	{'f1': 0.8291424887169568}	{'accuracy': 0.7459252157238735}
0.0238	1194.0	478794	1.9529	{'f1': 0.8253557567917206}	{'accuracy': 0.7411313518696069}
0.0307	1195.0	479195	2.0647	{'f1': 0.8091091761553918}	{'accuracy': 0.7267497603068073}
0.0365	1196.0	479596	2.3431	{'f1': 0.8255813953488373}	{'accuracy': 0.7411313518696069}
0.0365	1197.0	479997	2.2097	{'f1': 0.8286082474226804}	{'accuracy': 0.7449664429530202}
0.0216	1198.0	480398	2.1333	{'f1': 0.827992151733159}	{'accuracy': 0.74784276126558}
0.0256	1199.0	480799	1.9393	{'f1': 0.8303863785199739}	{'accuracy': 0.7516778523489933}
0.0285	1200.0	481200	1.9451	{'f1': 0.8297734627831717}	{'accuracy': 0.74784276126558}
0.0213	1201.0	481601	1.7346	{'f1': 0.8365019011406846}	{'accuracy': 0.7526366251198466}
0.0305	1202.0	482002	1.7965	{'f1': 0.8330134357005758}	{'accuracy': 0.7497603068072867}
0.0305	1203.0	482403	1.8949	{'f1': 0.8317214700193424}	{'accuracy': 0.7497603068072867}
0.0243	1204.0	482804	1.7339	{'f1': 0.841300191204589}	{'accuracy': 0.7612655800575263}
0.0231	1205.0	483205	2.2375	{'f1': 0.8381430363864492}	{'accuracy': 0.7526366251198466}
0.0194	1206.0	483606	2.0505	{'f1': 0.8333333333333333}	{'accuracy': 0.7488015340364333}
0.0268	1207.0	484007	2.1140	{'f1': 0.8307692307692308}	{'accuracy': 0.7468839884947267}
0.0268	1208.0	484408	1.9601	{'f1': 0.829800899165061}	{'accuracy': 0.7459252157238735}
0.0226	1209.0	484809	1.8860	{'f1': 0.8444722048719551}	{'accuracy': 0.7612655800575263}
0.0308	1210.0	485210	2.2254	{'f1': 0.8300907911802854}	{'accuracy': 0.7488015340364333}
0.0278	1211.0	485611	2.1704	{'f1': 0.8331210191082803}	{'accuracy': 0.7488015340364333}
0.0255	1212.0	486012	2.3606	{'f1': 0.8342785129174544}	{'accuracy': 0.74784276126558}
0.0255	1213.0	486413	2.3387	{'f1': 0.8385053831538949}	{'accuracy': 0.7555129434324065}
0.0247	1214.0	486814	2.0505	{'f1': 0.8343868520859672}	{'accuracy': 0.7488015340364333}
0.0266	1215.0	487215	1.7528	{'f1': 0.8310854206807964}	{'accuracy': 0.74784276126558}
0.0192	1216.0	487616	2.2197	{'f1': 0.8278481012658229}	{'accuracy': 0.7392138063279002}
0.0291	1217.0	488017	2.1230	{'f1': 0.8309239472030169}	{'accuracy': 0.7420901246404602}
0.0291	1218.0	488418	2.4172	{'f1': 0.8248366013071896}	{'accuracy': 0.7430488974113135}
0.0161	1219.0	488819	2.2132	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.0262	1220.0	489220	1.9892	{'f1': 0.8259473346178547}	{'accuracy': 0.7401725790987536}
0.0289	1221.0	489621	2.0739	{'f1': 0.8275418275418275}	{'accuracy': 0.7430488974113135}
0.0221	1222.0	490022	2.3933	{'f1': 0.8264781491002571}	{'accuracy': 0.7411313518696069}
0.0221	1223.0	490423	2.2494	{'f1': 0.8200129954515919}	{'accuracy': 0.7344199424736337}
0.0277	1224.0	490824	1.8523	{'f1': 0.8221649484536082}	{'accuracy': 0.7353787152444871}
0.0246	1225.0	491225	2.2038	{'f1': 0.8284250960307298}	{'accuracy': 0.7430488974113135}
0.0231	1226.0	491626	2.2008	{'f1': 0.8266154830454254}	{'accuracy': 0.7401725790987536}
0.0249	1227.0	492027	1.8870	{'f1': 0.8335435056746532}	{'accuracy': 0.7468839884947267}
0.0249	1228.0	492428	2.1120	{'f1': 0.8248222365869425}	{'accuracy': 0.7401725790987536}
0.0283	1229.0	492829	2.0279	{'f1': 0.8315457413249213}	{'accuracy': 0.7440076701821668}
0.0218	1230.0	493230	1.9758	{'f1': 0.8336495888678052}	{'accuracy': 0.74784276126558}
0.0189	1231.0	493631	1.9250	{'f1': 0.8310854206807964}	{'accuracy': 0.74784276126558}
0.0257	1232.0	494032	1.9373	{'f1': 0.8336495888678052}	{'accuracy': 0.74784276126558}
0.0257	1233.0	494433	2.0483	{'f1': 0.8260869565217391}	{'accuracy': 0.7468839884947267}
0.0271	1234.0	494834	2.1123	{'f1': 0.829827915869981}	{'accuracy': 0.7440076701821668}
0.0279	1235.0	495235	2.1992	{'f1': 0.8211488250652741}	{'accuracy': 0.7372962607861937}
0.0219	1236.0	495636	1.9800	{'f1': 0.8379396984924623}	{'accuracy': 0.7526366251198466}
0.0261	1237.0	496037	2.0731	{'f1': 0.8381317978246962}	{'accuracy': 0.7574304889741131}
0.0261	1238.0	496438	2.0687	{'f1': 0.8330109606705353}	{'accuracy': 0.7516778523489933}
0.0196	1239.0	496839	2.4971	{'f1': 0.8191489361702128}	{'accuracy': 0.7392138063279002}
0.0244	1240.0	497240	2.1966	{'f1': 0.8314899154196486}	{'accuracy': 0.7516778523489933}
0.0272	1241.0	497641	2.2883	{'f1': 0.8341772151898734}	{'accuracy': 0.7488015340364333}
0.0264	1242.0	498042	2.2568	{'f1': 0.833659491193738}	{'accuracy': 0.7555129434324065}
0.0264	1243.0	498443	2.3431	{'f1': 0.8334413480233311}	{'accuracy': 0.7535953978907}
0.0277	1244.0	498844	2.0661	{'f1': 0.8376288659793815}	{'accuracy': 0.7583892617449665}
0.0234	1245.0	499245	2.2805	{'f1': 0.8357276702061213}	{'accuracy': 0.74784276126558}
0.0251	1246.0	499646	2.3498	{'f1': 0.8238375900458415}	{'accuracy': 0.7420901246404602}
0.0217	1247.0	500047	2.0087	{'f1': 0.8278580814717477}	{'accuracy': 0.7488015340364333}
0.0217	1248.0	500448	2.0331	{'f1': 0.8287937743190662}	{'accuracy': 0.7468839884947267}
0.0222	1249.0	500849	1.7764	{'f1': 0.8247694334650855}	{'accuracy': 0.7449664429530202}
0.0287	1250.0	501250	1.8921	{'f1': 0.8314176245210728}	{'accuracy': 0.7468839884947267}
0.0265	1251.0	501651	2.3134	{'f1': 0.8148639681486396}	{'accuracy': 0.7325023969319271}
0.0188	1252.0	502052	2.1177	{'f1': 0.8307493540051678}	{'accuracy': 0.7488015340364333}
0.0188	1253.0	502453	2.1209	{'f1': 0.8343949044585988}	{'accuracy': 0.75071907957814}
0.0267	1254.0	502854	2.2433	{'f1': 0.8299935358758889}	{'accuracy': 0.74784276126558}
0.023	1255.0	503255	1.9853	{'f1': 0.823841059602649}	{'accuracy': 0.7449664429530202}
0.0304	1256.0	503656	2.2564	{'f1': 0.8362944162436549}	{'accuracy': 0.7526366251198466}
0.0204	1257.0	504057	2.2115	{'f1': 0.8314321926489228}	{'accuracy': 0.7449664429530202}
0.0204	1258.0	504458	2.4560	{'f1': 0.8285895003162556}	{'accuracy': 0.7401725790987536}
0.0198	1259.0	504859	2.1401	{'f1': 0.8288874430709173}	{'accuracy': 0.74784276126558}
0.0236	1260.0	505260	2.3204	{'f1': 0.8337595907928389}	{'accuracy': 0.75071907957814}
0.0255	1261.0	505661	2.1924	{'f1': 0.8315041962556489}	{'accuracy': 0.7497603068072867}
0.0238	1262.0	506062	2.3210	{'f1': 0.8319697923222151}	{'accuracy': 0.7440076701821668}
0.0238	1263.0	506463	1.9838	{'f1': 0.8239116309291746}	{'accuracy': 0.7401725790987536}
0.0251	1264.0	506864	2.2084	{'f1': 0.8219354838709678}	{'accuracy': 0.7353787152444871}
0.0224	1265.0	507265	2.2475	{'f1': 0.8188453881884538}	{'accuracy': 0.738255033557047}
0.0185	1266.0	507666	2.1923	{'f1': 0.8292682926829268}	{'accuracy': 0.738255033557047}
0.0249	1267.0	508067	1.8119	{'f1': 0.8334380892520427}	{'accuracy': 0.7459252157238735}
0.0249	1268.0	508468	2.1861	{'f1': 0.8340865074241447}	{'accuracy': 0.7535953978907}
0.0241	1269.0	508869	2.4227	{'f1': 0.8379396984924623}	{'accuracy': 0.7526366251198466}
0.0248	1270.0	509270	2.1900	{'f1': 0.8326898326898327}	{'accuracy': 0.75071907957814}
0.0196	1271.0	509671	2.2512	{'f1': 0.8326947637292466}	{'accuracy': 0.7488015340364333}
0.0227	1272.0	510072	1.9323	{'f1': 0.834293026231606}	{'accuracy': 0.7516778523489933}
0.0227	1273.0	510473	2.0886	{'f1': 0.8200270635994588}	{'accuracy': 0.7449664429530202}
0.0228	1274.0	510874	2.0640	{'f1': 0.8248366013071896}	{'accuracy': 0.7430488974113135}
0.0195	1275.0	511275	2.1154	{'f1': 0.8274111675126904}	{'accuracy': 0.7392138063279002}
0.0284	1276.0	511676	2.1029	{'f1': 0.8329048843187661}	{'accuracy': 0.75071907957814}
0.0195	1277.0	512077	2.0365	{'f1': 0.8373298768632534}	{'accuracy': 0.7593480345158198}
0.0195	1278.0	512478	2.2650	{'f1': 0.8351368555060471}	{'accuracy': 0.7516778523489933}
0.0213	1279.0	512879	2.5130	{'f1': 0.8301647655259823}	{'accuracy': 0.7430488974113135}
0.0139	1280.0	513280	2.0023	{'f1': 0.8262548262548263}	{'accuracy': 0.7411313518696069}
0.0212	1281.0	513681	1.9178	{'f1': 0.8333333333333333}	{'accuracy': 0.75071907957814}
0.0123	1282.0	514082	2.3301	{'f1': 0.8314028314028314}	{'accuracy': 0.7488015340364333}
0.0123	1283.0	514483	2.1285	{'f1': 0.8295165394402036}	{'accuracy': 0.7430488974113135}
0.0201	1284.0	514884	2.3112	{'f1': 0.8336520076481836}	{'accuracy': 0.7497603068072867}
0.0172	1285.0	515285	1.7911	{'f1': 0.8333333333333334}	{'accuracy': 0.7545541706615532}
0.0273	1286.0	515686	1.8670	{'f1': 0.8244473342002602}	{'accuracy': 0.7411313518696069}
0.0149	1287.0	516087	2.3021	{'f1': 0.8400770712909442}	{'accuracy': 0.7612655800575263}
0.0149	1288.0	516488	2.0444	{'f1': 0.8286644951140065}	{'accuracy': 0.74784276126558}
0.0218	1289.0	516889	2.0311	{'f1': 0.8324937027707808}	{'accuracy': 0.7449664429530202}
0.0157	1290.0	517290	1.9750	{'f1': 0.8287581699346405}	{'accuracy': 0.7488015340364333}
0.0161	1291.0	517691	2.1697	{'f1': 0.8322663252240717}	{'accuracy': 0.7488015340364333}
0.0204	1292.0	518092	2.2885	{'f1': 0.8417037507946599}	{'accuracy': 0.7612655800575263}
0.0204	1293.0	518493	2.2275	{'f1': 0.8414948453608248}	{'accuracy': 0.7641418983700863}
0.0175	1294.0	518894	2.3260	{'f1': 0.8238341968911918}	{'accuracy': 0.7392138063279002}
0.0163	1295.0	519295	2.5628	{'f1': 0.831758034026465}	{'accuracy': 0.7440076701821668}
0.0186	1296.0	519696	2.2618	{'f1': 0.8352788586251622}	{'accuracy': 0.7564717162032598}
0.0183	1297.0	520097	1.9587	{'f1': 0.8347375243033053}	{'accuracy': 0.7555129434324065}
0.0183	1298.0	520498	2.1325	{'f1': 0.8344958782498415}	{'accuracy': 0.7497603068072867}
0.0211	1299.0	520899	1.9821	{'f1': 0.8252740167633785}	{'accuracy': 0.7401725790987536}
0.022	1300.0	521300	2.1052	{'f1': 0.8342785129174544}	{'accuracy': 0.74784276126558}
0.0226	1301.0	521701	2.1452	{'f1': 0.8275418275418275}	{'accuracy': 0.7430488974113135}
0.0222	1302.0	522102	2.3962	{'f1': 0.8169200264375412}	{'accuracy': 0.7344199424736337}
0.0179	1303.0	522503	2.4732	{'f1': 0.8255813953488373}	{'accuracy': 0.7411313518696069}
0.0179	1304.0	522904	2.4542	{'f1': 0.8264781491002571}	{'accuracy': 0.7411313518696069}
0.0212	1305.0	523305	2.3747	{'f1': 0.8258391386953768}	{'accuracy': 0.7363374880153404}
0.0169	1306.0	523706	2.2222	{'f1': 0.8285714285714286}	{'accuracy': 0.7468839884947267}
0.0146	1307.0	524107	2.0356	{'f1': 0.8362919132149903}	{'accuracy': 0.7612655800575263}
0.0158	1308.0	524508	2.2574	{'f1': 0.8250319284802042}	{'accuracy': 0.7372962607861937}
0.0158	1309.0	524909	2.1803	{'f1': 0.8331210191082803}	{'accuracy': 0.7488015340364333}
0.0219	1310.0	525310	1.9685	{'f1': 0.8321722609246357}	{'accuracy': 0.7459252157238735}
0.0209	1311.0	525711	2.1649	{'f1': 0.8322903629536921}	{'accuracy': 0.7430488974113135}
0.0162	1312.0	526112	2.2466	{'f1': 0.8300192431045542}	{'accuracy': 0.7459252157238735}
0.0162	1313.0	526513	2.1672	{'f1': 0.832274459974587}	{'accuracy': 0.7468839884947267}
0.0162	1314.0	526914	2.2840	{'f1': 0.8319594166138238}	{'accuracy': 0.7459252157238735}
0.0197	1315.0	527315	2.2938	{'f1': 0.8304093567251463}	{'accuracy': 0.7497603068072867}
0.0157	1316.0	527716	2.2573	{'f1': 0.8350649350649352}	{'accuracy': 0.7564717162032598}
0.0183	1317.0	528117	2.2786	{'f1': 0.8300653594771241}	{'accuracy': 0.75071907957814}
0.0121	1318.0	528518	2.4642	{'f1': 0.8320413436692506}	{'accuracy': 0.75071907957814}
0.0121	1319.0	528919	2.0655	{'f1': 0.8389134554643083}	{'accuracy': 0.7555129434324065}
0.0191	1320.0	529320	2.0353	{'f1': 0.8310854206807964}	{'accuracy': 0.74784276126558}
0.0181	1321.0	529721	2.2717	{'f1': 0.8274111675126904}	{'accuracy': 0.7392138063279002}
0.0211	1322.0	530122	2.4642	{'f1': 0.8326947637292466}	{'accuracy': 0.7488015340364333}
0.0195	1323.0	530523	2.3501	{'f1': 0.8268864933417883}	{'accuracy': 0.738255033557047}
0.0195	1324.0	530924	2.3431	{'f1': 0.8369426751592357}	{'accuracy': 0.7545541706615532}
0.0242	1325.0	531325	2.1629	{'f1': 0.840378548895899}	{'accuracy': 0.7574304889741131}
0.0214	1326.0	531726	2.3598	{'f1': 0.8340750158931978}	{'accuracy': 0.7497603068072867}
0.0254	1327.0	532127	2.3479	{'f1': 0.8309305373525558}	{'accuracy': 0.7526366251198466}
0.0152	1328.0	532528	2.2900	{'f1': 0.8343004513217279}	{'accuracy': 0.7535953978907}
0.0152	1329.0	532929	2.3538	{'f1': 0.8313021167415009}	{'accuracy': 0.74784276126558}
0.0133	1330.0	533330	2.1949	{'f1': 0.8299748110831233}	{'accuracy': 0.7411313518696069}
0.0207	1331.0	533731	2.4447	{'f1': 0.8245270711024136}	{'accuracy': 0.7420901246404602}
0.0201	1332.0	534132	2.5238	{'f1': 0.8293929712460064}	{'accuracy': 0.7440076701821668}
0.0133	1333.0	534533	2.2451	{'f1': 0.827720207253886}	{'accuracy': 0.7449664429530202}
0.0133	1334.0	534934	2.3539	{'f1': 0.833859759949463}	{'accuracy': 0.74784276126558}
0.0183	1335.0	535335	2.0576	{'f1': 0.8294930875576036}	{'accuracy': 0.7516778523489933}
0.0209	1336.0	535736	2.3898	{'f1': 0.8372686662412252}	{'accuracy': 0.7555129434324065}
0.0203	1337.0	536137	2.2349	{'f1': 0.8429217840982547}	{'accuracy': 0.7670182166826462}
0.0161	1338.0	536538	2.2458	{'f1': 0.8346055979643766}	{'accuracy': 0.75071907957814}
0.0161	1339.0	536939	2.2747	{'f1': 0.8113207547169812}	{'accuracy': 0.7315436241610739}
0.0135	1340.0	537340	2.1130	{'f1': 0.8340694006309148}	{'accuracy': 0.74784276126558}
0.0177	1341.0	537741	1.9802	{'f1': 0.834403080872914}	{'accuracy': 0.7526366251198466}
0.0169	1342.0	538142	2.2030	{'f1': 0.8314899154196486}	{'accuracy': 0.7516778523489933}
0.019	1343.0	538543	2.4209	{'f1': 0.832908163265306}	{'accuracy': 0.7488015340364333}
0.019	1344.0	538944	2.6522	{'f1': 0.8216355441081779}	{'accuracy': 0.7344199424736337}
0.0141	1345.0	539345	2.0643	{'f1': 0.8326947637292466}	{'accuracy': 0.7488015340364333}
0.0152	1346.0	539746	2.4329	{'f1': 0.8304761904761905}	{'accuracy': 0.7440076701821668}
0.0156	1347.0	540147	2.4906	{'f1': 0.8288633461047253}	{'accuracy': 0.7430488974113135}
0.0169	1348.0	540548	2.6073	{'f1': 0.8287153652392948}	{'accuracy': 0.7392138063279002}
0.0169	1349.0	540949	2.2232	{'f1': 0.8265971316818774}	{'accuracy': 0.7449664429530202}
0.0166	1350.0	541350	1.9587	{'f1': 0.8291139240506329}	{'accuracy': 0.7411313518696069}
0.0147	1351.0	541751	2.2473	{'f1': 0.8313176320814768}	{'accuracy': 0.7459252157238735}
0.0191	1352.0	542152	2.0964	{'f1': 0.8295165394402036}	{'accuracy': 0.7430488974113135}
0.0151	1353.0	542553	1.8425	{'f1': 0.8299492385786802}	{'accuracy': 0.7430488974113135}
0.0151	1354.0	542954	2.1392	{'f1': 0.8251121076233184}	{'accuracy': 0.738255033557047}
0.0138	1355.0	543355	2.3261	{'f1': 0.826530612244898}	{'accuracy': 0.7392138063279002}
0.0132	1356.0	543756	2.2175	{'f1': 0.8110964332892998}	{'accuracy': 0.725790987535954}
0.0168	1357.0	544157	2.5470	{'f1': 0.8267170762444864}	{'accuracy': 0.7363374880153404}
0.0136	1358.0	544558	2.5444	{'f1': 0.8125819134993446}	{'accuracy': 0.725790987535954}
0.0136	1359.0	544959	2.1716	{'f1': 0.8190104166666666}	{'accuracy': 0.7334611697027804}
0.0214	1360.0	545360	2.3067	{'f1': 0.8310214375788146}	{'accuracy': 0.7430488974113135}
0.0161	1361.0	545761	2.2575	{'f1': 0.8279009126466753}	{'accuracy': 0.7468839884947267}
0.0134	1362.0	546162	2.4202	{'f1': 0.8236048749198204}	{'accuracy': 0.7363374880153404}
0.0138	1363.0	546563	2.7025	{'f1': 0.8278021289918598}	{'accuracy': 0.7363374880153404}
0.0138	1364.0	546964	2.2089	{'f1': 0.8251295336787564}	{'accuracy': 0.7411313518696069}
0.0151	1365.0	547365	2.2094	{'f1': 0.8337531486146096}	{'accuracy': 0.7468839884947267}
0.0188	1366.0	547766	2.3831	{'f1': 0.8336495888678052}	{'accuracy': 0.74784276126558}
0.0149	1367.0	548167	2.4837	{'f1': 0.8335451080050826}	{'accuracy': 0.7488015340364333}
0.0149	1368.0	548568	2.4871	{'f1': 0.8292993630573249}	{'accuracy': 0.7430488974113135}
0.0149	1369.0	548969	2.2712	{'f1': 0.8289891926255561}	{'accuracy': 0.7420901246404602}
0.0146	1370.0	549370	2.2060	{'f1': 0.8285163776493256}	{'accuracy': 0.7440076701821668}
0.0152	1371.0	549771	2.1056	{'f1': 0.8309677419354838}	{'accuracy': 0.7488015340364333}
0.0175	1372.0	550172	2.2266	{'f1': 0.8322981366459627}	{'accuracy': 0.7411313518696069}
0.0147	1373.0	550573	2.2462	{'f1': 0.8282566429034349}	{'accuracy': 0.7459252157238735}
0.0147	1374.0	550974	2.2850	{'f1': 0.8291770573566085}	{'accuracy': 0.7372962607861937}
0.0189	1375.0	551375	2.2098	{'f1': 0.8323699421965319}	{'accuracy': 0.7497603068072867}
0.0178	1376.0	551776	1.9975	{'f1': 0.8260038240917783}	{'accuracy': 0.738255033557047}
0.0157	1377.0	552177	2.4179	{'f1': 0.8299232736572889}	{'accuracy': 0.7449664429530202}
0.012	1378.0	552578	2.1510	{'f1': 0.834726688102894}	{'accuracy': 0.7535953978907}
0.012	1379.0	552979	2.1921	{'f1': 0.8341772151898734}	{'accuracy': 0.7488015340364333}
0.0169	1380.0	553380	2.0823	{'f1': 0.8328981723237598}	{'accuracy': 0.7545541706615532}
0.0151	1381.0	553781	2.2972	{'f1': 0.8286082474226804}	{'accuracy': 0.7449664429530202}
0.0191	1382.0	554182	2.4458	{'f1': 0.8318584070796461}	{'accuracy': 0.7449664429530202}
0.0144	1383.0	554583	2.3381	{'f1': 0.8290488431876606}	{'accuracy': 0.7449664429530202}
0.0144	1384.0	554984	2.1075	{'f1': 0.8159468438538205}	{'accuracy': 0.7344199424736337}
0.0206	1385.0	555385	2.3354	{'f1': 0.8355726167626361}	{'accuracy': 0.7535953978907}
0.0157	1386.0	555786	2.1504	{'f1': 0.8186046511627907}	{'accuracy': 0.738255033557047}
0.0172	1387.0	556187	2.1727	{'f1': 0.8367088607594937}	{'accuracy': 0.7526366251198466}
0.0087	1388.0	556588	2.3450	{'f1': 0.8310038119440915}	{'accuracy': 0.7449664429530202}
0.0087	1389.0	556989	2.4706	{'f1': 0.8414481897627966}	{'accuracy': 0.7564717162032598}
0.0134	1390.0	557390	2.1680	{'f1': 0.8226120857699806}	{'accuracy': 0.738255033557047}
0.016	1391.0	557791	2.2512	{'f1': 0.8281150159744408}	{'accuracy': 0.7420901246404602}
0.0211	1392.0	558192	2.2836	{'f1': 0.8325849903784478}	{'accuracy': 0.7497603068072867}
0.0189	1393.0	558593	2.2882	{'f1': 0.8312182741116751}	{'accuracy': 0.7449664429530202}
0.0189	1394.0	558994	2.2169	{'f1': 0.833756345177665}	{'accuracy': 0.7488015340364333}
0.0198	1395.0	559395	2.0391	{'f1': 0.8333333333333333}	{'accuracy': 0.7449664429530202}
0.017	1396.0	559796	2.2678	{'f1': 0.8267515923566878}	{'accuracy': 0.7392138063279002}
0.0148	1397.0	560197	2.2377	{'f1': 0.8311026131293818}	{'accuracy': 0.7459252157238735}
0.0146	1398.0	560598	2.1479	{'f1': 0.8304542546385157}	{'accuracy': 0.7459252157238735}
0.0146	1399.0	560999	2.2161	{'f1': 0.8171052631578947}	{'accuracy': 0.7334611697027804}
0.0156	1400.0	561400	2.2413	{'f1': 0.8282566429034349}	{'accuracy': 0.7459252157238735}
0.0158	1401.0	561801	2.1428	{'f1': 0.8298969072164948}	{'accuracy': 0.7468839884947267}
0.0152	1402.0	562202	2.2739	{'f1': 0.8310038119440915}	{'accuracy': 0.7449664429530202}
0.0135	1403.0	562603	2.1586	{'f1': 0.8274509803921569}	{'accuracy': 0.7468839884947267}
0.0173	1404.0	563004	2.3640	{'f1': 0.8333333333333333}	{'accuracy': 0.7488015340364333}
0.0173	1405.0	563405	2.1089	{'f1': 0.8267716535433071}	{'accuracy': 0.7468839884947267}
0.011	1406.0	563806	2.4176	{'f1': 0.8320610687022901}	{'accuracy': 0.7468839884947267}
0.0156	1407.0	564207	2.5272	{'f1': 0.8278950735764556}	{'accuracy': 0.7420901246404602}
0.0082	1408.0	564608	2.5365	{'f1': 0.8291424887169568}	{'accuracy': 0.7459252157238735}
0.0107	1409.0	565009	2.2477	{'f1': 0.831270358306189}	{'accuracy': 0.7516778523489933}
0.0107	1410.0	565410	2.3145	{'f1': 0.8357641090678504}	{'accuracy': 0.7516778523489933}
0.0171	1411.0	565811	2.3733	{'f1': 0.8269230769230769}	{'accuracy': 0.7411313518696069}
0.0172	1412.0	566212	2.4639	{'f1': 0.829109811565952}	{'accuracy': 0.74784276126558}
0.0167	1413.0	566613	2.2847	{'f1': 0.8245161290322582}	{'accuracy': 0.7392138063279002}
0.0132	1414.0	567014	2.4261	{'f1': 0.8341772151898734}	{'accuracy': 0.7488015340364333}
0.0132	1415.0	567415	2.2446	{'f1': 0.8292682926829269}	{'accuracy': 0.7516778523489933}
0.0154	1416.0	567816	2.2487	{'f1': 0.8376830044557607}	{'accuracy': 0.7555129434324065}
0.0116	1417.0	568217	2.3641	{'f1': 0.8289557975656631}	{'accuracy': 0.7440076701821668}
0.0135	1418.0	568618	2.2029	{'f1': 0.8343079922027291}	{'accuracy': 0.7555129434324065}
0.0129	1419.0	569019	2.6628	{'f1': 0.8288973384030417}	{'accuracy': 0.7411313518696069}
0.0129	1420.0	569420	2.4173	{'f1': 0.8384663733500944}	{'accuracy': 0.7535953978907}
0.0153	1421.0	569821	2.5045	{'f1': 0.8307888040712469}	{'accuracy': 0.7449664429530202}
0.0179	1422.0	570222	2.6604	{'f1': 0.8319488817891375}	{'accuracy': 0.74784276126558}
0.0111	1423.0	570623	2.1191	{'f1': 0.8341836734693877}	{'accuracy': 0.75071907957814}
0.0195	1424.0	571024	2.0659	{'f1': 0.8338678640153945}	{'accuracy': 0.7516778523489933}
0.0195	1425.0	571425	2.4067	{'f1': 0.8245161290322582}	{'accuracy': 0.7392138063279002}
0.0136	1426.0	571826	2.5091	{'f1': 0.8217054263565892}	{'accuracy': 0.7353787152444871}
0.0107	1427.0	572227	1.6932	{'f1': 0.8239895697522815}	{'accuracy': 0.7411313518696069}
0.0149	1428.0	572628	2.4026	{'f1': 0.8353312302839118}	{'accuracy': 0.7497603068072867}
0.0126	1429.0	573029	2.2117	{'f1': 0.8249180327868852}	{'accuracy': 0.7440076701821668}
0.0126	1430.0	573430	2.4085	{'f1': 0.8221498371335504}	{'accuracy': 0.738255033557047}
0.0104	1431.0	573831	2.3849	{'f1': 0.8255208333333333}	{'accuracy': 0.7430488974113135}
0.0105	1432.0	574232	2.0794	{'f1': 0.8276745675848817}	{'accuracy': 0.7420901246404602}
0.0104	1433.0	574633	2.4360	{'f1': 0.8301404853128992}	{'accuracy': 0.7449664429530202}
0.0113	1434.0	575034	2.4210	{'f1': 0.8263707571801565}	{'accuracy': 0.7449664429530202}
0.0113	1435.0	575435	2.3157	{'f1': 0.8330084470435347}	{'accuracy': 0.7535953978907}
0.0142	1436.0	575836	2.3088	{'f1': 0.8314028314028314}	{'accuracy': 0.7488015340364333}
0.0108	1437.0	576237	2.4176	{'f1': 0.8350649350649352}	{'accuracy': 0.7564717162032598}
0.0115	1438.0	576638	1.9995	{'f1': 0.8289557975656631}	{'accuracy': 0.7440076701821668}
0.0146	1439.0	577039	1.8799	{'f1': 0.832901554404145}	{'accuracy': 0.7526366251198466}
0.0146	1440.0	577440	2.1014	{'f1': 0.8358974358974359}	{'accuracy': 0.7545541706615532}
0.0119	1441.0	577841	2.4673	{'f1': 0.8349267049075845}	{'accuracy': 0.7516778523489933}
0.0105	1442.0	578242	2.1858	{'f1': 0.8337628865979381}	{'accuracy': 0.7526366251198466}
0.0153	1443.0	578643	2.5232	{'f1': 0.8313878080415046}	{'accuracy': 0.75071907957814}
0.0093	1444.0	579044	2.5259	{'f1': 0.8369497830130194}	{'accuracy': 0.74784276126558}
0.0093	1445.0	579445	2.1977	{'f1': 0.8399487836107554}	{'accuracy': 0.7603068072866731}
0.0154	1446.0	579846	2.2186	{'f1': 0.8267358857884491}	{'accuracy': 0.7440076701821668}
0.0116	1447.0	580247	2.3791	{'f1': 0.8299935358758889}	{'accuracy': 0.74784276126558}
0.0107	1448.0	580648	2.0429	{'f1': 0.8343156516044532}	{'accuracy': 0.7574304889741131}
0.0151	1449.0	581049	2.0489	{'f1': 0.8283870967741936}	{'accuracy': 0.7449664429530202}
0.0151	1450.0	581450	2.2200	{'f1': 0.8305304010349288}	{'accuracy': 0.7488015340364333}
0.0167	1451.0	581851	2.4740	{'f1': 0.8315457413249213}	{'accuracy': 0.7440076701821668}
0.0088	1452.0	582252	2.3081	{'f1': 0.8311855670103093}	{'accuracy': 0.7488015340364333}
0.0103	1453.0	582653	1.8291	{'f1': 0.8275418275418275}	{'accuracy': 0.7430488974113135}
0.0183	1454.0	583054	2.0062	{'f1': 0.8215931533903883}	{'accuracy': 0.7401725790987536}
0.0183	1455.0	583455	2.0697	{'f1': 0.8335500650195059}	{'accuracy': 0.7545541706615532}
0.0147	1456.0	583856	2.3095	{'f1': 0.8308681672025723}	{'accuracy': 0.74784276126558}
0.0093	1457.0	584257	2.3770	{'f1': 0.8287937743190662}	{'accuracy': 0.7468839884947267}
0.0101	1458.0	584658	2.0539	{'f1': 0.8288874430709173}	{'accuracy': 0.74784276126558}
0.0143	1459.0	585059	2.3108	{'f1': 0.83502538071066}	{'accuracy': 0.75071907957814}
0.0143	1460.0	585460	2.1947	{'f1': 0.8380952380952381}	{'accuracy': 0.7555129434324065}
0.0192	1461.0	585861	2.2704	{'f1': 0.8218997361477572}	{'accuracy': 0.7411313518696069}
0.011	1462.0	586262	2.5194	{'f1': 0.83011583011583}	{'accuracy': 0.7468839884947267}
0.0103	1463.0	586663	2.5173	{'f1': 0.8340694006309148}	{'accuracy': 0.74784276126558}
0.0083	1464.0	587064	2.5439	{'f1': 0.832908163265306}	{'accuracy': 0.7488015340364333}
0.0083	1465.0	587465	2.1878	{'f1': 0.8242894056847546}	{'accuracy': 0.7392138063279002}
0.0092	1466.0	587866	2.4524	{'f1': 0.8313329121920405}	{'accuracy': 0.7440076701821668}
0.0133	1467.0	588267	2.1188	{'f1': 0.8312020460358057}	{'accuracy': 0.7468839884947267}
0.0141	1468.0	588668	2.4474	{'f1': 0.8352638352638353}	{'accuracy': 0.7545541706615532}
0.0129	1469.0	589069	1.9551	{'f1': 0.8387096774193549}	{'accuracy': 0.7555129434324065}
0.0129	1470.0	589470	2.3131	{'f1': 0.8349267049075845}	{'accuracy': 0.7516778523489933}
0.0101	1471.0	589871	2.3512	{'f1': 0.8397435897435898}	{'accuracy': 0.7603068072866731}
0.0088	1472.0	590272	2.4684	{'f1': 0.8381430363864492}	{'accuracy': 0.7526366251198466}
0.0082	1473.0	590673	2.1014	{'f1': 0.8421717171717172}	{'accuracy': 0.7603068072866731}
0.0109	1474.0	591074	1.8630	{'f1': 0.8434343434343433}	{'accuracy': 0.7622243528283796}
0.0109	1475.0	591475	2.0074	{'f1': 0.826259946949602}	{'accuracy': 0.7488015340364333}
0.0158	1476.0	591876	2.3408	{'f1': 0.8402061855670104}	{'accuracy': 0.7622243528283796}
0.0075	1477.0	592277	2.2864	{'f1': 0.8304542546385157}	{'accuracy': 0.7459252157238735}
0.0109	1478.0	592678	2.3775	{'f1': 0.8346153846153845}	{'accuracy': 0.7526366251198466}
0.0107	1479.0	593079	2.1878	{'f1': 0.8272727272727274}	{'accuracy': 0.7449664429530202}
0.0107	1480.0	593480	2.4102	{'f1': 0.8318471337579618}	{'accuracy': 0.7468839884947267}
0.0098	1481.0	593881	2.5005	{'f1': 0.8324742268041238}	{'accuracy': 0.75071907957814}
0.011	1482.0	594282	2.0799	{'f1': 0.8289557975656631}	{'accuracy': 0.7440076701821668}
0.0148	1483.0	594683	2.2567	{'f1': 0.8413705583756345}	{'accuracy': 0.7603068072866731}
0.008	1484.0	595084	2.0435	{'f1': 0.836340206185567}	{'accuracy': 0.7564717162032598}
0.008	1485.0	595485	2.4089	{'f1': 0.8315182575272262}	{'accuracy': 0.74784276126558}
0.0113	1486.0	595886	2.5054	{'f1': 0.8373570520965693}	{'accuracy': 0.7545541706615532}
0.015	1487.0	596287	2.4271	{'f1': 0.835538752362949}	{'accuracy': 0.7497603068072867}
0.0085	1488.0	596688	2.2932	{'f1': 0.8360864040660737}	{'accuracy': 0.7526366251198466}
0.0119	1489.0	597089	2.1042	{'f1': 0.8392405063291138}	{'accuracy': 0.7564717162032598}
0.0119	1490.0	597490	2.6881	{'f1': 0.834902699309479}	{'accuracy': 0.74784276126558}
0.0068	1491.0	597891	2.4182	{'f1': 0.8376830044557607}	{'accuracy': 0.7555129434324065}
0.009	1492.0	598292	2.2172	{'f1': 0.8401768793430195}	{'accuracy': 0.7574304889741131}
0.011	1493.0	598693	2.1645	{'f1': 0.8328035600762874}	{'accuracy': 0.74784276126558}
0.0094	1494.0	599094	2.3467	{'f1': 0.8332243296272074}	{'accuracy': 0.7555129434324065}
0.0094	1495.0	599495	2.5180	{'f1': 0.8297055057618438}	{'accuracy': 0.7449664429530202}
0.0116	1496.0	599896	2.4348	{'f1': 0.8276745675848817}	{'accuracy': 0.7420901246404602}
0.0137	1497.0	600297	2.5046	{'f1': 0.8272251308900525}	{'accuracy': 0.7468839884947267}
0.0115	1498.0	600698	2.2747	{'f1': 0.832274459974587}	{'accuracy': 0.7468839884947267}
0.0133	1499.0	601099	2.3392	{'f1': 0.8305304010349288}	{'accuracy': 0.7488015340364333}
0.012	1500.0	601500	2.4719	{'f1': 0.82736974262398}	{'accuracy': 0.7363374880153404}
0.012	1501.0	601901	2.4903	{'f1': 0.8222506393861893}	{'accuracy': 0.7334611697027804}
0.0081	1502.0	602302	2.0449	{'f1': 0.8243589743589743}	{'accuracy': 0.7372962607861937}
0.0095	1503.0	602703	2.2911	{'f1': 0.8230719377835385}	{'accuracy': 0.738255033557047}
0.0068	1504.0	603104	2.3930	{'f1': 0.831938184159691}	{'accuracy': 0.7497603068072867}
0.0151	1505.0	603505	1.9769	{'f1': 0.8291424887169568}	{'accuracy': 0.7459252157238735}
0.0151	1506.0	603906	2.1522	{'f1': 0.8317214700193424}	{'accuracy': 0.7497603068072867}
0.0106	1507.0	604307	2.4132	{'f1': 0.8282958199356913}	{'accuracy': 0.7440076701821668}
0.0077	1508.0	604708	2.1838	{'f1': 0.8276745675848817}	{'accuracy': 0.7420901246404602}
0.0132	1509.0	605109	2.1400	{'f1': 0.8301886792452831}	{'accuracy': 0.7497603068072867}
0.0072	1510.0	605510	1.8728	{'f1': 0.8300907911802854}	{'accuracy': 0.7488015340364333}
0.0072	1511.0	605911	1.8480	{'f1': 0.835820895522388}	{'accuracy': 0.7574304889741131}
0.012	1512.0	606312	2.3675	{'f1': 0.8339719029374203}	{'accuracy': 0.75071907957814}
0.0102	1513.0	606713	2.2101	{'f1': 0.8349146110056926}	{'accuracy': 0.7497603068072867}
0.0109	1514.0	607114	2.3728	{'f1': 0.8329113924050634}	{'accuracy': 0.7468839884947267}
0.011	1515.0	607515	2.1239	{'f1': 0.8263473053892215}	{'accuracy': 0.7497603068072867}
0.011	1516.0	607916	2.4084	{'f1': 0.8333333333333333}	{'accuracy': 0.7488015340364333}
0.01	1517.0	608317	2.4570	{'f1': 0.83409238776838}	{'accuracy': 0.7555129434324065}
0.0066	1518.0	608718	2.5883	{'f1': 0.8387909319899244}	{'accuracy': 0.7545541706615532}
0.0092	1519.0	609119	2.1005	{'f1': 0.8402822322001283}	{'accuracy': 0.7612655800575263}
0.0128	1520.0	609520	2.2988	{'f1': 0.8348271446862997}	{'accuracy': 0.7526366251198466}
0.0128	1521.0	609921	2.4674	{'f1': 0.8392857142857142}	{'accuracy': 0.7583892617449665}
0.0084	1522.0	610322	2.3848	{'f1': 0.839821314613912}	{'accuracy': 0.7593480345158198}
0.0073	1523.0	610723	2.4157	{'f1': 0.8356687898089172}	{'accuracy': 0.7526366251198466}
0.0111	1524.0	611124	2.5074	{'f1': 0.8345864661654135}	{'accuracy': 0.7468839884947267}
0.0144	1525.0	611525	2.0932	{'f1': 0.8310679611650486}	{'accuracy': 0.7497603068072867}
0.0144	1526.0	611926	2.2411	{'f1': 0.8386683738796414}	{'accuracy': 0.7583892617449665}
0.0088	1527.0	612327	2.3980	{'f1': 0.8347055098163394}	{'accuracy': 0.7497603068072867}
0.008	1528.0	612728	2.4182	{'f1': 0.8356867779204109}	{'accuracy': 0.7545541706615532}
0.0084	1529.0	613129	2.3841	{'f1': 0.8420382165605096}	{'accuracy': 0.7622243528283796}
0.011	1530.0	613530	2.5537	{'f1': 0.8387096774193549}	{'accuracy': 0.7555129434324065}
0.011	1531.0	613931	2.1922	{'f1': 0.8404868673926971}	{'accuracy': 0.7612655800575263}
0.0127	1532.0	614332	2.2234	{'f1': 0.8397435897435898}	{'accuracy': 0.7603068072866731}
0.0112	1533.0	614733	2.0402	{'f1': 0.8365261813537676}	{'accuracy': 0.7545541706615532}
0.0099	1534.0	615134	2.4584	{'f1': 0.8392857142857142}	{'accuracy': 0.7583892617449665}
0.0111	1535.0	615535	2.1772	{'f1': 0.8414481897627966}	{'accuracy': 0.7564717162032598}
0.0111	1536.0	615936	2.1437	{'f1': 0.8390879478827362}	{'accuracy': 0.763183125599233}
0.0137	1537.0	616337	2.1388	{'f1': 0.8359522313010685}	{'accuracy': 0.7497603068072867}
0.0105	1538.0	616738	2.2335	{'f1': 0.8427753023551878}	{'accuracy': 0.763183125599233}
0.0081	1539.0	617139	2.2384	{'f1': 0.8434946574481458}	{'accuracy': 0.7612655800575263}
0.0088	1540.0	617540	1.8035	{'f1': 0.8338720103425986}	{'accuracy': 0.7535953978907}
0.0088	1541.0	617941	2.2136	{'f1': 0.8329048843187661}	{'accuracy': 0.75071907957814}
0.0123	1542.0	618342	2.2958	{'f1': 0.8292682926829269}	{'accuracy': 0.7516778523489933}
0.0099	1543.0	618743	2.1537	{'f1': 0.8385449904275686}	{'accuracy': 0.7574304889741131}
0.0096	1544.0	619144	2.1160	{'f1': 0.8348157560355782}	{'accuracy': 0.75071907957814}
0.0107	1545.0	619545	2.2831	{'f1': 0.8387507966857872}	{'accuracy': 0.7574304889741131}
0.0107	1546.0	619946	2.3361	{'f1': 0.8390804597701149}	{'accuracy': 0.7583892617449665}
0.0074	1547.0	620347	2.4081	{'f1': 0.8356164383561643}	{'accuracy': 0.7468839884947267}
0.0101	1548.0	620748	2.4343	{'f1': 0.8332276474318325}	{'accuracy': 0.74784276126558}
0.0094	1549.0	621149	2.3422	{'f1': 0.8401768793430195}	{'accuracy': 0.7574304889741131}
0.01	1550.0	621550	2.2897	{'f1': 0.834726688102894}	{'accuracy': 0.7535953978907}
0.01	1551.0	621951	2.5493	{'f1': 0.8367088607594937}	{'accuracy': 0.7526366251198466}
0.008	1552.0	622352	2.1688	{'f1': 0.8405063291139242}	{'accuracy': 0.7583892617449665}
0.013	1553.0	622753	2.5384	{'f1': 0.8411801632140615}	{'accuracy': 0.7574304889741131}
0.0085	1554.0	623154	2.2767	{'f1': 0.8401253918495297}	{'accuracy': 0.7555129434324065}
0.0111	1555.0	623555	2.1120	{'f1': 0.8415094339622642}	{'accuracy': 0.7583892617449665}
0.0111	1556.0	623956	2.3020	{'f1': 0.8350125944584383}	{'accuracy': 0.7488015340364333}
0.0091	1557.0	624357	2.2317	{'f1': 0.8396946564885497}	{'accuracy': 0.7583892617449665}
0.0126	1558.0	624758	2.4643	{'f1': 0.8378548895899053}	{'accuracy': 0.7535953978907}
0.0107	1559.0	625159	2.4495	{'f1': 0.8346055979643766}	{'accuracy': 0.75071907957814}
0.0065	1560.0	625560	2.4634	{'f1': 0.83322601416613}	{'accuracy': 0.7516778523489933}
0.0065	1561.0	625961	2.7013	{'f1': 0.8374760994263862}	{'accuracy': 0.7555129434324065}
0.0061	1562.0	626362	2.3126	{'f1': 0.8334413480233311}	{'accuracy': 0.7535953978907}
0.0097	1563.0	626763	2.2587	{'f1': 0.8358974358974359}	{'accuracy': 0.7545541706615532}
0.0131	1564.0	627164	2.6240	{'f1': 0.8303571428571429}	{'accuracy': 0.7449664429530202}
0.0062	1565.0	627565	2.5113	{'f1': 0.8320312500000001}	{'accuracy': 0.7526366251198466}
0.0062	1566.0	627966	2.7554	{'f1': 0.8357457520453115}	{'accuracy': 0.7497603068072867}
0.0069	1567.0	628367	2.4550	{'f1': 0.8375080282594733}	{'accuracy': 0.7574304889741131}
0.0094	1568.0	628768	2.6335	{'f1': 0.8309677419354838}	{'accuracy': 0.7488015340364333}
0.0091	1569.0	629169	2.5512	{'f1': 0.8380462724935733}	{'accuracy': 0.7583892617449665}
0.0086	1570.0	629570	2.4633	{'f1': 0.8342785129174544}	{'accuracy': 0.74784276126558}
0.0086	1571.0	629971	2.4943	{'f1': 0.8368253968253969}	{'accuracy': 0.7535953978907}
0.0079	1572.0	630372	2.3871	{'f1': 0.8356867779204109}	{'accuracy': 0.7545541706615532}
0.0086	1573.0	630773	2.3118	{'f1': 0.8377693282636249}	{'accuracy': 0.7545541706615532}
0.0142	1574.0	631174	2.3579	{'f1': 0.836340206185567}	{'accuracy': 0.7564717162032598}
0.0081	1575.0	631575	2.4121	{'f1': 0.8347375243033053}	{'accuracy': 0.7555129434324065}
0.0081	1576.0	631976	2.3331	{'f1': 0.84}	{'accuracy': 0.7622243528283796}
0.0085	1577.0	632377	2.2221	{'f1': 0.8435897435897436}	{'accuracy': 0.7660594439117929}
0.01	1578.0	632778	2.2301	{'f1': 0.8393316195372751}	{'accuracy': 0.7603068072866731}
0.0083	1579.0	633179	2.4267	{'f1': 0.8392056374119155}	{'accuracy': 0.7593480345158198}
0.01	1580.0	633580	2.4569	{'f1': 0.8438495857233907}	{'accuracy': 0.7651006711409396}
0.01	1581.0	633981	2.2953	{'f1': 0.8392857142857142}	{'accuracy': 0.7583892617449665}
0.0104	1582.0	634382	2.4875	{'f1': 0.8419721871049306}	{'accuracy': 0.7603068072866731}
0.007	1583.0	634783	2.5150	{'f1': 0.8346253229974161}	{'accuracy': 0.7545541706615532}
0.0048	1584.0	635184	2.2513	{'f1': 0.838206627680312}	{'accuracy': 0.7612655800575263}
0.0081	1585.0	635585	2.5805	{'f1': 0.8448717948717949}	{'accuracy': 0.7679769894534996}
0.0081	1586.0	635986	2.5219	{'f1': 0.8311855670103093}	{'accuracy': 0.7488015340364333}
0.0062	1587.0	636387	2.5214	{'f1': 0.835427135678392}	{'accuracy': 0.7488015340364333}
0.0094	1588.0	636788	2.2688	{'f1': 0.8364099299809039}	{'accuracy': 0.7535953978907}
0.0072	1589.0	637189	2.5787	{'f1': 0.8292367399741268}	{'accuracy': 0.7468839884947267}
0.0062	1590.0	637590	2.7719	{'f1': 0.8270967741935484}	{'accuracy': 0.7430488974113135}
0.0062	1591.0	637991	2.9048	{'f1': 0.8324937027707808}	{'accuracy': 0.7449664429530202}
0.0036	1592.0	638392	2.5538	{'f1': 0.8375314861460957}	{'accuracy': 0.7526366251198466}
0.0129	1593.0	638793	2.3358	{'f1': 0.8371794871794872}	{'accuracy': 0.7564717162032598}
0.0088	1594.0	639194	2.2924	{'f1': 0.8340750158931978}	{'accuracy': 0.7497603068072867}
0.0093	1595.0	639595	2.3236	{'f1': 0.8327825512227361}	{'accuracy': 0.7574304889741131}
0.0093	1596.0	639996	2.4215	{'f1': 0.8427109974424553}	{'accuracy': 0.7641418983700863}
0.0076	1597.0	640397	2.3087	{'f1': 0.8387516254876464}	{'accuracy': 0.7622243528283796}
0.0098	1598.0	640798	2.4805	{'f1': 0.8419705694177864}	{'accuracy': 0.763183125599233}
0.0053	1599.0	641199	2.4255	{'f1': 0.8399487836107554}	{'accuracy': 0.7603068072866731}
0.0093	1600.0	641600	2.3467	{'f1': 0.8330033003300329}	{'accuracy': 0.7574304889741131}
0.0058	1601.0	642001	2.4955	{'f1': 0.8339920948616601}	{'accuracy': 0.7583892617449665}
0.0058	1602.0	642402	2.5645	{'f1': 0.8427109974424553}	{'accuracy': 0.7641418983700863}
0.0074	1603.0	642803	2.4843	{'f1': 0.8331193838254173}	{'accuracy': 0.75071907957814}
0.0064	1604.0	643204	2.3787	{'f1': 0.8330134357005758}	{'accuracy': 0.7497603068072867}
0.0112	1605.0	643605	2.4770	{'f1': 0.8378033205619413}	{'accuracy': 0.7564717162032598}
0.005	1606.0	644006	2.5795	{'f1': 0.8338678640153945}	{'accuracy': 0.7516778523489933}
0.005	1607.0	644407	2.4598	{'f1': 0.8462500000000001}	{'accuracy': 0.7641418983700863}
0.0104	1608.0	644808	2.2397	{'f1': 0.8443877551020408}	{'accuracy': 0.7660594439117929}
0.0063	1609.0	645209	2.5856	{'f1': 0.8414403032217308}	{'accuracy': 0.7593480345158198}
0.0075	1610.0	645610	2.5584	{'f1': 0.8400770712909442}	{'accuracy': 0.7612655800575263}
0.0046	1611.0	646011	2.7771	{'f1': 0.8403256105197245}	{'accuracy': 0.7555129434324065}
0.0046	1612.0	646412	2.3936	{'f1': 0.8381795195954488}	{'accuracy': 0.7545541706615532}
0.0101	1613.0	646813	2.5508	{'f1': 0.8379599741768883}	{'accuracy': 0.7593480345158198}
0.0061	1614.0	647214	2.6579	{'f1': 0.8372093023255814}	{'accuracy': 0.7516778523489933}
0.0077	1615.0	647615	2.8177	{'f1': 0.8357276702061213}	{'accuracy': 0.74784276126558}
0.0066	1616.0	648016	2.5408	{'f1': 0.8409805153991201}	{'accuracy': 0.7574304889741131}
0.0066	1617.0	648417	2.6770	{'f1': 0.8410386320455985}	{'accuracy': 0.7593480345158198}
0.0051	1618.0	648818	2.7553	{'f1': 0.839821314613912}	{'accuracy': 0.7593480345158198}
0.0105	1619.0	649219	2.6149	{'f1': 0.84078036500944}	{'accuracy': 0.7574304889741131}
0.011	1620.0	649620	2.4232	{'f1': 0.8372686662412252}	{'accuracy': 0.7555129434324065}
0.0076	1621.0	650021	2.2456	{'f1': 0.8390367553865652}	{'accuracy': 0.7564717162032598}
0.0076	1622.0	650422	2.4660	{'f1': 0.841640378548896}	{'accuracy': 0.7593480345158198}
0.0057	1623.0	650823	2.5278	{'f1': 0.8397435897435898}	{'accuracy': 0.7603068072866731}
0.0057	1624.0	651224	2.3792	{'f1': 0.8397435897435898}	{'accuracy': 0.7603068072866731}
0.0095	1625.0	651625	2.4405	{'f1': 0.8403041825095058}	{'accuracy': 0.7583892617449665}
0.009	1626.0	652026	2.2924	{'f1': 0.8350649350649352}	{'accuracy': 0.7564717162032598}
0.009	1627.0	652427	2.4499	{'f1': 0.8390804597701149}	{'accuracy': 0.7583892617449665}
0.0047	1628.0	652828	2.4191	{'f1': 0.8449466415568111}	{'accuracy': 0.763183125599233}
0.0088	1629.0	653229	2.3860	{'f1': 0.8438287153652393}	{'accuracy': 0.7622243528283796}
0.0085	1630.0	653630	2.1791	{'f1': 0.8351368555060471}	{'accuracy': 0.7516778523489933}
0.0076	1631.0	654031	2.5326	{'f1': 0.8331226295828066}	{'accuracy': 0.7468839884947267}
0.0076	1632.0	654432	2.5171	{'f1': 0.8397234443746072}	{'accuracy': 0.7555129434324065}
0.0063	1633.0	654833	2.2281	{'f1': 0.8396756082345601}	{'accuracy': 0.7535953978907}
0.0063	1634.0	655234	2.3538	{'f1': 0.8334396936821954}	{'accuracy': 0.7497603068072867}
0.0041	1635.0	655635	2.4409	{'f1': 0.8292682926829269}	{'accuracy': 0.7449664429530202}
0.0075	1636.0	656036	2.7819	{'f1': 0.8309239472030169}	{'accuracy': 0.7420901246404602}
0.0075	1637.0	656437	2.7695	{'f1': 0.8284625158831004}	{'accuracy': 0.7411313518696069}
0.003	1638.0	656838	2.4919	{'f1': 0.8316455696202532}	{'accuracy': 0.7449664429530202}
0.0079	1639.0	657239	2.4634	{'f1': 0.8395217117684078}	{'accuracy': 0.7555129434324065}
0.0082	1640.0	657640	2.5190	{'f1': 0.8279430789133246}	{'accuracy': 0.7449664429530202}
0.007	1641.0	658041	2.3327	{'f1': 0.8327994875080078}	{'accuracy': 0.7497603068072867}
0.007	1642.0	658442	2.4059	{'f1': 0.8355726167626361}	{'accuracy': 0.7535953978907}
0.0061	1643.0	658843	2.5723	{'f1': 0.8443037974683545}	{'accuracy': 0.7641418983700863}
0.0088	1644.0	659244	2.3166	{'f1': 0.8397720075997466}	{'accuracy': 0.7574304889741131}
0.0073	1645.0	659645	2.2971	{'f1': 0.834293026231606}	{'accuracy': 0.7516778523489933}
0.0058	1646.0	660046	2.6448	{'f1': 0.8340750158931978}	{'accuracy': 0.7497603068072867}
0.0058	1647.0	660447	2.3263	{'f1': 0.8303341902313626}	{'accuracy': 0.7468839884947267}
0.0051	1648.0	660848	2.3813	{'f1': 0.8380102040816327}	{'accuracy': 0.7564717162032598}
0.0053	1649.0	661249	2.4205	{'f1': 0.8382541720154044}	{'accuracy': 0.7583892617449665}
0.0067	1650.0	661650	2.4641	{'f1': 0.8365261813537676}	{'accuracy': 0.7545541706615532}
0.0058	1651.0	662051	2.5083	{'f1': 0.8368522072936659}	{'accuracy': 0.7555129434324065}
0.0058	1652.0	662452	2.2537	{'f1': 0.8358974358974359}	{'accuracy': 0.7545541706615532}
0.0057	1653.0	662853	2.2666	{'f1': 0.8325791855203619}	{'accuracy': 0.7516778523489933}
0.0086	1654.0	663254	2.4583	{'f1': 0.8368253968253969}	{'accuracy': 0.7535953978907}
0.0081	1655.0	663655	2.3808	{'f1': 0.8329048843187661}	{'accuracy': 0.75071907957814}
0.0083	1656.0	664056	2.4406	{'f1': 0.8387909319899244}	{'accuracy': 0.7545541706615532}
0.0083	1657.0	664457	2.5305	{'f1': 0.8326848249027238}	{'accuracy': 0.7526366251198466}
0.0045	1658.0	664858	2.6602	{'f1': 0.8323699421965319}	{'accuracy': 0.7497603068072867}
0.0044	1659.0	665259	2.3236	{'f1': 0.8378378378378379}	{'accuracy': 0.7583892617449665}
0.0088	1660.0	665660	2.4613	{'f1': 0.8400254939451881}	{'accuracy': 0.7593480345158198}
0.0046	1661.0	666061	2.5055	{'f1': 0.8359173126614987}	{'accuracy': 0.7564717162032598}
0.0046	1662.0	666462	2.3114	{'f1': 0.8421052631578947}	{'accuracy': 0.7641418983700863}
0.0093	1663.0	666863	2.5699	{'f1': 0.8420373952288847}	{'accuracy': 0.7651006711409396}
0.0076	1664.0	667264	2.3307	{'f1': 0.8414948453608248}	{'accuracy': 0.7641418983700863}
0.008	1665.0	667665	2.5373	{'f1': 0.8364336112892881}	{'accuracy': 0.7555129434324065}
0.0034	1666.0	668066	2.7135	{'f1': 0.839821314613912}	{'accuracy': 0.7593480345158198}
0.0034	1667.0	668467	2.6065	{'f1': 0.8347160178685386}	{'accuracy': 0.7516778523489933}
0.0056	1668.0	668868	2.8129	{'f1': 0.8366179275270186}	{'accuracy': 0.7535953978907}
0.0058	1669.0	669269	2.6490	{'f1': 0.8356687898089172}	{'accuracy': 0.7526366251198466}
0.0052	1670.0	669670	2.4679	{'f1': 0.8429022082018928}	{'accuracy': 0.7612655800575263}
0.0062	1671.0	670071	2.5793	{'f1': 0.8423707440100883}	{'accuracy': 0.7603068072866731}
0.0062	1672.0	670472	2.6075	{'f1': 0.8444444444444443}	{'accuracy': 0.7651006711409396}
0.0059	1673.0	670873	2.3114	{'f1': 0.8346153846153845}	{'accuracy': 0.7526366251198466}
0.0066	1674.0	671274	2.5586	{'f1': 0.8381795195954488}	{'accuracy': 0.7545541706615532}
0.0075	1675.0	671675	2.3111	{'f1': 0.833117723156533}	{'accuracy': 0.7526366251198466}
0.0076	1676.0	672076	2.3979	{'f1': 0.8366179275270186}	{'accuracy': 0.7535953978907}
0.0076	1677.0	672477	2.0545	{'f1': 0.8375080282594733}	{'accuracy': 0.7574304889741131}
0.0069	1678.0	672878	2.2583	{'f1': 0.8458093410108765}	{'accuracy': 0.7689357622243528}
0.0047	1679.0	673279	2.4954	{'f1': 0.8421052631578947}	{'accuracy': 0.7612655800575263}
0.0053	1680.0	673680	2.5830	{'f1': 0.8412397216951296}	{'accuracy': 0.7593480345158198}
0.0045	1681.0	674081	2.7393	{'f1': 0.8370323398858592}	{'accuracy': 0.7535953978907}
0.0045	1682.0	674482	2.5995	{'f1': 0.8379746835443038}	{'accuracy': 0.7545541706615532}
0.0052	1683.0	674883	2.7705	{'f1': 0.8401015228426397}	{'accuracy': 0.7583892617449665}
0.0023	1684.0	675284	2.6417	{'f1': 0.8385449904275686}	{'accuracy': 0.7574304889741131}
0.0027	1685.0	675685	2.7326	{'f1': 0.8388324873096447}	{'accuracy': 0.7564717162032598}
0.0075	1686.0	676086	2.7324	{'f1': 0.8415094339622642}	{'accuracy': 0.7583892617449665}
0.0075	1687.0	676487	2.7051	{'f1': 0.8333333333333333}	{'accuracy': 0.75071907957814}
0.0052	1688.0	676888	2.6365	{'f1': 0.8422391857506362}	{'accuracy': 0.7622243528283796}
0.0063	1689.0	677289	2.6539	{'f1': 0.8359721342621914}	{'accuracy': 0.7516778523489933}
0.0089	1690.0	677690	2.3947	{'f1': 0.8375634517766497}	{'accuracy': 0.7545541706615532}
0.0078	1691.0	678091	2.4032	{'f1': 0.839871382636656}	{'accuracy': 0.7612655800575263}
0.0078	1692.0	678492	2.6239	{'f1': 0.8239895697522815}	{'accuracy': 0.7411313518696069}
0.0033	1693.0	678893	2.7501	{'f1': 0.8355899419729207}	{'accuracy': 0.7555129434324065}
0.0055	1694.0	679294	2.6391	{'f1': 0.8335483870967741}	{'accuracy': 0.7526366251198466}
0.0073	1695.0	679695	2.7171	{'f1': 0.8365930599369086}	{'accuracy': 0.7516778523489933}
0.0054	1696.0	680096	2.6674	{'f1': 0.8349389852280027}	{'accuracy': 0.7535953978907}
0.0054	1697.0	680497	2.6154	{'f1': 0.838338658146965}	{'accuracy': 0.7574304889741131}
0.0063	1698.0	680898	2.3952	{'f1': 0.8378033205619413}	{'accuracy': 0.7564717162032598}
0.0063	1699.0	681299	2.6218	{'f1': 0.8325849903784478}	{'accuracy': 0.7497603068072867}
0.0062	1700.0	681700	2.7796	{'f1': 0.8344870988042794}	{'accuracy': 0.74784276126558}
0.0039	1701.0	682101	2.8073	{'f1': 0.8333333333333333}	{'accuracy': 0.7488015340364333}
0.0045	1702.0	682502	2.4747	{'f1': 0.8305732484076433}	{'accuracy': 0.7449664429530202}
0.0045	1703.0	682903	2.3813	{'f1': 0.8376830044557607}	{'accuracy': 0.7555129434324065}
0.0058	1704.0	683304	2.5254	{'f1': 0.8299935358758889}	{'accuracy': 0.74784276126558}
0.0053	1705.0	683705	2.3674	{'f1': 0.8352788586251622}	{'accuracy': 0.7564717162032598}
0.0052	1706.0	684106	2.5650	{'f1': 0.8367346938775511}	{'accuracy': 0.7545541706615532}
0.0047	1707.0	684507	2.5826	{'f1': 0.8373570520965693}	{'accuracy': 0.7545541706615532}
0.0047	1708.0	684908	2.3042	{'f1': 0.8384615384615385}	{'accuracy': 0.7583892617449665}
0.0093	1709.0	685309	2.4972	{'f1': 0.8336544637122671}	{'accuracy': 0.7516778523489933}
0.0075	1710.0	685710	2.4236	{'f1': 0.8302130406714009}	{'accuracy': 0.74784276126558}
0.0072	1711.0	686111	2.4187	{'f1': 0.8327953518398966}	{'accuracy': 0.7516778523489933}
0.0053	1712.0	686512	2.5230	{'f1': 0.835346471710108}	{'accuracy': 0.7516778523489933}
0.0053	1713.0	686913	2.2689	{'f1': 0.8335467349551857}	{'accuracy': 0.75071907957814}
0.0076	1714.0	687314	2.2485	{'f1': 0.8351507376523413}	{'accuracy': 0.7535953978907}
0.0048	1715.0	687715	2.3259	{'f1': 0.8338637810311904}	{'accuracy': 0.7497603068072867}
0.0087	1716.0	688116	2.4466	{'f1': 0.8330182734719597}	{'accuracy': 0.7459252157238735}
0.0065	1717.0	688517	2.4669	{'f1': 0.83502538071066}	{'accuracy': 0.75071907957814}
0.0065	1718.0	688918	2.6582	{'f1': 0.8289891926255561}	{'accuracy': 0.7420901246404602}
0.004	1719.0	689319	2.6222	{'f1': 0.8386683738796414}	{'accuracy': 0.7583892617449665}
0.0061	1720.0	689720	2.6133	{'f1': 0.8408370323398858}	{'accuracy': 0.7593480345158198}
0.0049	1721.0	690121	2.4972	{'f1': 0.8383773341918868}	{'accuracy': 0.7593480345158198}
0.0038	1722.0	690522	2.6090	{'f1': 0.8390367553865652}	{'accuracy': 0.7564717162032598}
0.0038	1723.0	690923	2.6528	{'f1': 0.836340206185567}	{'accuracy': 0.7564717162032598}
0.0036	1724.0	691324	2.6965	{'f1': 0.840251572327044}	{'accuracy': 0.7564717162032598}
0.0065	1725.0	691725	2.5383	{'f1': 0.8291721419185284}	{'accuracy': 0.75071907957814}
0.0038	1726.0	692126	2.5855	{'f1': 0.8334413480233311}	{'accuracy': 0.7535953978907}
0.0064	1727.0	692527	2.6035	{'f1': 0.8304319793681496}	{'accuracy': 0.74784276126558}
0.0064	1728.0	692928	2.6798	{'f1': 0.8380592312539382}	{'accuracy': 0.7535953978907}
0.0046	1729.0	693329	2.4866	{'f1': 0.834726688102894}	{'accuracy': 0.7535953978907}
0.0059	1730.0	693730	2.3016	{'f1': 0.834403080872914}	{'accuracy': 0.7526366251198466}
0.0081	1731.0	694131	2.5490	{'f1': 0.8378893833439287}	{'accuracy': 0.7555129434324065}
0.004	1732.0	694532	2.5366	{'f1': 0.8350383631713555}	{'accuracy': 0.7526366251198466}
0.004	1733.0	694933	2.7084	{'f1': 0.8388324873096447}	{'accuracy': 0.7564717162032598}
0.0019	1734.0	695334	2.7241	{'f1': 0.8360128617363345}	{'accuracy': 0.7555129434324065}
0.0036	1735.0	695735	2.9344	{'f1': 0.8413098236775819}	{'accuracy': 0.7583892617449665}
0.0032	1736.0	696136	2.7233	{'f1': 0.8412397216951296}	{'accuracy': 0.7593480345158198}
0.0031	1737.0	696537	2.8682	{'f1': 0.8408370323398858}	{'accuracy': 0.7593480345158198}
0.0031	1738.0	696938	2.5962	{'f1': 0.844106463878327}	{'accuracy': 0.7641418983700863}
0.0054	1739.0	697339	2.6224	{'f1': 0.8431122448979593}	{'accuracy': 0.7641418983700863}
0.0057	1740.0	697740	2.6496	{'f1': 0.8362944162436549}	{'accuracy': 0.7526366251198466}
0.0065	1741.0	698141	2.6702	{'f1': 0.8393650793650793}	{'accuracy': 0.7574304889741131}
0.0046	1742.0	698542	2.5869	{'f1': 0.8375080282594733}	{'accuracy': 0.7574304889741131}
0.0046	1743.0	698943	2.6396	{'f1': 0.8351368555060471}	{'accuracy': 0.7516778523489933}
0.0052	1744.0	699344	2.7841	{'f1': 0.8382541720154044}	{'accuracy': 0.7583892617449665}
0.0019	1745.0	699745	2.7361	{'f1': 0.8411801632140615}	{'accuracy': 0.7574304889741131}
0.0044	1746.0	700146	2.8370	{'f1': 0.8415094339622642}	{'accuracy': 0.7583892617449665}
0.004	1747.0	700547	2.8577	{'f1': 0.8359721342621914}	{'accuracy': 0.7516778523489933}
0.004	1748.0	700948	2.8367	{'f1': 0.8403041825095058}	{'accuracy': 0.7583892617449665}
0.0053	1749.0	701349	2.9112	{'f1': 0.8396946564885497}	{'accuracy': 0.7583892617449665}
0.0025	1750.0	701750	2.8936	{'f1': 0.8387909319899244}	{'accuracy': 0.7545541706615532}
0.005	1751.0	702151	2.8212	{'f1': 0.8388746803069054}	{'accuracy': 0.7583892617449665}
0.0041	1752.0	702552	2.7394	{'f1': 0.8363171355498722}	{'accuracy': 0.7545541706615532}
0.0041	1753.0	702953	2.8245	{'f1': 0.8359923420548819}	{'accuracy': 0.7535953978907}
0.0037	1754.0	703354	2.8312	{'f1': 0.8361075544174137}	{'accuracy': 0.7545541706615532}
0.0024	1755.0	703755	2.5594	{'f1': 0.8350515463917526}	{'accuracy': 0.7545541706615532}
0.0077	1756.0	704156	2.4482	{'f1': 0.8345138441725692}	{'accuracy': 0.7535953978907}
0.002	1757.0	704557	2.6409	{'f1': 0.8409669211195929}	{'accuracy': 0.7603068072866731}
0.002	1758.0	704958	2.5793	{'f1': 0.8355899419729207}	{'accuracy': 0.7555129434324065}
0.0052	1759.0	705359	2.6299	{'f1': 0.8388746803069054}	{'accuracy': 0.7583892617449665}
0.004	1760.0	705760	2.6070	{'f1': 0.834726688102894}	{'accuracy': 0.7535953978907}
0.0053	1761.0	706161	2.5216	{'f1': 0.8374446552814674}	{'accuracy': 0.7535953978907}
0.0062	1762.0	706562	2.6798	{'f1': 0.8389134554643083}	{'accuracy': 0.7555129434324065}
0.0062	1763.0	706963	2.3750	{'f1': 0.8335483870967741}	{'accuracy': 0.7526366251198466}
0.0076	1764.0	707364	2.7607	{'f1': 0.839073262366938}	{'accuracy': 0.7535953978907}
0.0028	1765.0	707765	2.6130	{'f1': 0.8344958782498415}	{'accuracy': 0.7497603068072867}
0.0055	1766.0	708166	2.6034	{'f1': 0.8326797385620914}	{'accuracy': 0.7545541706615532}
0.0035	1767.0	708567	2.7663	{'f1': 0.8382165605095542}	{'accuracy': 0.7564717162032598}
0.0035	1768.0	708968	2.7518	{'f1': 0.8371212121212122}	{'accuracy': 0.7526366251198466}
0.0047	1769.0	709369	2.3444	{'f1': 0.8336569579288027}	{'accuracy': 0.7535953978907}
0.0036	1770.0	709770	2.5024	{'f1': 0.8309677419354838}	{'accuracy': 0.7488015340364333}
0.0031	1771.0	710171	2.4226	{'f1': 0.8401015228426397}	{'accuracy': 0.7583892617449665}
0.0059	1772.0	710572	2.6134	{'f1': 0.8389134554643083}	{'accuracy': 0.7555129434324065}
0.0059	1773.0	710973	2.5395	{'f1': 0.8337628865979381}	{'accuracy': 0.7526366251198466}
0.006	1774.0	711374	2.6910	{'f1': 0.8374446552814674}	{'accuracy': 0.7535953978907}
0.0043	1775.0	711775	2.6508	{'f1': 0.8394904458598725}	{'accuracy': 0.7583892617449665}
0.0046	1776.0	712176	2.2803	{'f1': 0.8351507376523413}	{'accuracy': 0.7535953978907}
0.0039	1777.0	712577	2.7084	{'f1': 0.8375}	{'accuracy': 0.75071907957814}
0.0039	1778.0	712978	2.4391	{'f1': 0.8320413436692506}	{'accuracy': 0.75071907957814}
0.007	1779.0	713379	2.6448	{'f1': 0.8412291933418694}	{'accuracy': 0.7622243528283796}
0.0023	1780.0	713780	2.8286	{'f1': 0.8380592312539382}	{'accuracy': 0.7535953978907}
0.0027	1781.0	714181	2.8325	{'f1': 0.8434343434343433}	{'accuracy': 0.7622243528283796}
0.0051	1782.0	714582	2.6243	{'f1': 0.8369704749679076}	{'accuracy': 0.7564717162032598}
0.0051	1783.0	714983	2.6622	{'f1': 0.8353162179085786}	{'accuracy': 0.74784276126558}
0.0043	1784.0	715384	2.6014	{'f1': 0.8337595907928389}	{'accuracy': 0.75071907957814}
0.005	1785.0	715785	2.5878	{'f1': 0.8345047923322685}	{'accuracy': 0.7516778523489933}
0.0032	1786.0	716186	2.7466	{'f1': 0.8377693282636249}	{'accuracy': 0.7545541706615532}
0.0016	1787.0	716587	2.8262	{'f1': 0.8381795195954488}	{'accuracy': 0.7545541706615532}
0.0016	1788.0	716988	2.8292	{'f1': 0.8386691776522286}	{'accuracy': 0.7535953978907}
0.0043	1789.0	717389	2.7830	{'f1': 0.8403041825095058}	{'accuracy': 0.7583892617449665}
0.0028	1790.0	717790	2.6074	{'f1': 0.8373879641485275}	{'accuracy': 0.7564717162032598}
0.0068	1791.0	718191	2.6583	{'f1': 0.8359522313010685}	{'accuracy': 0.7497603068072867}
0.005	1792.0	718592	2.6678	{'f1': 0.8378548895899053}	{'accuracy': 0.7535953978907}
0.005	1793.0	718993	2.6018	{'f1': 0.8364336112892881}	{'accuracy': 0.7555129434324065}
0.0033	1794.0	719394	2.7015	{'f1': 0.8369426751592357}	{'accuracy': 0.7545541706615532}
0.0031	1795.0	719795	2.8461	{'f1': 0.8400503778337531}	{'accuracy': 0.7564717162032598}
0.0016	1796.0	720196	2.7343	{'f1': 0.8338762214983714}	{'accuracy': 0.7555129434324065}
0.0028	1797.0	720597	2.8495	{'f1': 0.8381317978246962}	{'accuracy': 0.7574304889741131}
0.0028	1798.0	720998	2.5900	{'f1': 0.8407479045776919}	{'accuracy': 0.763183125599233}
0.005	1799.0	721399	2.6968	{'f1': 0.8394904458598725}	{'accuracy': 0.7583892617449665}
0.0037	1800.0	721800	2.8437	{'f1': 0.8395217117684078}	{'accuracy': 0.7555129434324065}
0.0044	1801.0	722201	2.3908	{'f1': 0.8452305748578648}	{'accuracy': 0.7651006711409396}
0.0033	1802.0	722602	2.6763	{'f1': 0.8435114503816794}	{'accuracy': 0.7641418983700863}
0.0024	1803.0	723003	2.7676	{'f1': 0.8453738910012675}	{'accuracy': 0.7660594439117929}
0.0024	1804.0	723404	2.6193	{'f1': 0.8439086294416244}	{'accuracy': 0.7641418983700863}
0.0053	1805.0	723805	2.7303	{'f1': 0.8385449904275686}	{'accuracy': 0.7574304889741131}
0.0025	1806.0	724206	2.6265	{'f1': 0.8400254939451881}	{'accuracy': 0.7593480345158198}
0.0047	1807.0	724607	2.7407	{'f1': 0.8411689961880559}	{'accuracy': 0.7603068072866731}
0.0049	1808.0	725008	2.5945	{'f1': 0.8404118404118406}	{'accuracy': 0.7622243528283796}
0.0049	1809.0	725409	2.7053	{'f1': 0.8405612244897959}	{'accuracy': 0.7603068072866731}
0.0021	1810.0	725810	2.7480	{'f1': 0.8416458852867831}	{'accuracy': 0.7564717162032598}
0.0051	1811.0	726211	2.6730	{'f1': 0.8433734939759037}	{'accuracy': 0.763183125599233}
0.0021	1812.0	726612	2.6699	{'f1': 0.8404118404118406}	{'accuracy': 0.7622243528283796}
0.0043	1813.0	727013	2.6681	{'f1': 0.8418367346938777}	{'accuracy': 0.7622243528283796}
0.0043	1814.0	727414	2.7602	{'f1': 0.8415716096324461}	{'accuracy': 0.7603068072866731}
0.0025	1815.0	727815	2.6684	{'f1': 0.8425748884639899}	{'accuracy': 0.763183125599233}
0.0042	1816.0	728216	2.7011	{'f1': 0.8406909788867563}	{'accuracy': 0.7612655800575263}
0.0029	1817.0	728617	2.6725	{'f1': 0.843650287172942}	{'accuracy': 0.7651006711409396}
0.0028	1818.0	729018	2.6201	{'f1': 0.8405985686402083}	{'accuracy': 0.7651006711409396}
0.0028	1819.0	729419	2.6945	{'f1': 0.8460063897763579}	{'accuracy': 0.7689357622243528}
0.0051	1820.0	729820	2.6645	{'f1': 0.8426461143224149}	{'accuracy': 0.7651006711409396}
0.0017	1821.0	730221	2.7897	{'f1': 0.8447837150127226}	{'accuracy': 0.7660594439117929}
0.0016	1822.0	730622	2.8400	{'f1': 0.8420382165605096}	{'accuracy': 0.7622243528283796}
0.0023	1823.0	731023	2.8817	{'f1': 0.8410386320455985}	{'accuracy': 0.7593480345158198}
0.0023	1824.0	731424	2.7786	{'f1': 0.8445859872611465}	{'accuracy': 0.7660594439117929}
0.0033	1825.0	731825	2.7473	{'f1': 0.8402822322001283}	{'accuracy': 0.7612655800575263}
0.0034	1826.0	732226	2.8191	{'f1': 0.8470290771175728}	{'accuracy': 0.7679769894534996}
0.0028	1827.0	732627	2.7988	{'f1': 0.8436317780580076}	{'accuracy': 0.7622243528283796}
0.0028	1828.0	733028	2.6751	{'f1': 0.8432501599488165}	{'accuracy': 0.7651006711409396}
0.0028	1829.0	733429	2.6557	{'f1': 0.8423707440100883}	{'accuracy': 0.7603068072866731}
0.0044	1830.0	733830	2.6860	{'f1': 0.8419705694177864}	{'accuracy': 0.763183125599233}
0.0035	1831.0	734231	2.7019	{'f1': 0.8412291933418694}	{'accuracy': 0.7622243528283796}
0.0019	1832.0	734632	2.7205	{'f1': 0.8387096774193549}	{'accuracy': 0.7555129434324065}
0.0042	1833.0	735033	2.7107	{'f1': 0.8378378378378379}	{'accuracy': 0.7583892617449665}
0.0042	1834.0	735434	2.8087	{'f1': 0.8416347381864623}	{'accuracy': 0.7622243528283796}
0.0035	1835.0	735835	2.7708	{'f1': 0.8429858429858431}	{'accuracy': 0.7660594439117929}
0.0038	1836.0	736236	2.8128	{'f1': 0.8415651058370751}	{'accuracy': 0.763183125599233}
0.0028	1837.0	736637	2.8505	{'f1': 0.8439671509791535}	{'accuracy': 0.763183125599233}
0.0021	1838.0	737038	2.8126	{'f1': 0.8428479794740218}	{'accuracy': 0.7651006711409396}
0.0021	1839.0	737439	2.7264	{'f1': 0.8443305573350417}	{'accuracy': 0.7670182166826462}
0.0028	1840.0	737840	2.8628	{'f1': 0.845620667926906}	{'accuracy': 0.7651006711409396}
0.0016	1841.0	738241	2.5945	{'f1': 0.8433268858800773}	{'accuracy': 0.7670182166826462}
0.0052	1842.0	738642	2.6368	{'f1': 0.8431746031746032}	{'accuracy': 0.763183125599233}
0.0037	1843.0	739043	2.6159	{'f1': 0.843236409608091}	{'accuracy': 0.7622243528283796}
0.0037	1844.0	739444	2.6887	{'f1': 0.8435718809373022}	{'accuracy': 0.763183125599233}
0.0021	1845.0	739845	2.6875	{'f1': 0.843236409608091}	{'accuracy': 0.7622243528283796}
0.0019	1846.0	740246	2.7068	{'f1': 0.8439086294416244}	{'accuracy': 0.7641418983700863}
0.0015	1847.0	740647	2.6309	{'f1': 0.8450704225352114}	{'accuracy': 0.7679769894534996}
0.0019	1848.0	741048	2.6037	{'f1': 0.8443305573350417}	{'accuracy': 0.7670182166826462}
0.0019	1849.0	741449	2.6820	{'f1': 0.8425047438330171}	{'accuracy': 0.7612655800575263}
0.0036	1850.0	741850	2.6864	{'f1': 0.8394113883557262}	{'accuracy': 0.7593480345158198}
0.0039	1851.0	742251	2.6781	{'f1': 0.840251572327044}	{'accuracy': 0.7564717162032598}
0.003	1852.0	742652	2.6571	{'f1': 0.8397720075997466}	{'accuracy': 0.7574304889741131}
0.0035	1853.0	743053	2.6523	{'f1': 0.8429022082018928}	{'accuracy': 0.7612655800575263}
0.0035	1854.0	743454	2.6374	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}
0.0036	1855.0	743855	2.6373	{'f1': 0.8407643312101911}	{'accuracy': 0.7603068072866731}
0.004	1856.0	744256	2.7006	{'f1': 0.8400254939451881}	{'accuracy': 0.7593480345158198}
0.0023	1857.0	744657	2.8141	{'f1': 0.8423052564914503}	{'accuracy': 0.7612655800575263}
0.0029	1858.0	745058	2.8080	{'f1': 0.8415716096324461}	{'accuracy': 0.7603068072866731}
0.0029	1859.0	745459	2.9025	{'f1': 0.839073262366938}	{'accuracy': 0.7535953978907}
0.0023	1860.0	745860	2.5824	{'f1': 0.8401768793430195}	{'accuracy': 0.7574304889741131}
0.0058	1861.0	746261	2.6345	{'f1': 0.839568801521877}	{'accuracy': 0.7574304889741131}
0.0016	1862.0	746662	2.6826	{'f1': 0.839568801521877}	{'accuracy': 0.7574304889741131}
0.0015	1863.0	747063	2.7246	{'f1': 0.8434343434343433}	{'accuracy': 0.7622243528283796}
0.0015	1864.0	747464	2.7682	{'f1': 0.8394437420986094}	{'accuracy': 0.7564717162032598}
0.0025	1865.0	747865	2.6325	{'f1': 0.8376288659793815}	{'accuracy': 0.7583892617449665}
0.0034	1866.0	748266	2.7350	{'f1': 0.8408945686900958}	{'accuracy': 0.7612655800575263}
0.0025	1867.0	748667	2.8103	{'f1': 0.8389175257731959}	{'accuracy': 0.7603068072866731}
0.0016	1868.0	749068	2.9105	{'f1': 0.8399487836107554}	{'accuracy': 0.7603068072866731}
0.0016	1869.0	749469	2.9085	{'f1': 0.8402822322001283}	{'accuracy': 0.7612655800575263}
0.0011	1870.0	749870	2.9515	{'f1': 0.8421725239616613}	{'accuracy': 0.763183125599233}
0.0015	1871.0	750271	3.0233	{'f1': 0.8403575989782885}	{'accuracy': 0.7603068072866731}
0.0026	1872.0	750672	2.8606	{'f1': 0.8361290322580646}	{'accuracy': 0.7564717162032598}
0.0044	1873.0	751073	2.9509	{'f1': 0.840378548895899}	{'accuracy': 0.7574304889741131}
0.0044	1874.0	751474	2.7899	{'f1': 0.8397435897435898}	{'accuracy': 0.7603068072866731}
0.0048	1875.0	751875	2.8711	{'f1': 0.839821314613912}	{'accuracy': 0.7593480345158198}
0.0016	1876.0	752276	2.9244	{'f1': 0.839821314613912}	{'accuracy': 0.7593480345158198}
0.0024	1877.0	752677	2.9735	{'f1': 0.8402291534054743}	{'accuracy': 0.7593480345158198}
0.003	1878.0	753078	2.9350	{'f1': 0.8428390367553865}	{'accuracy': 0.7622243528283796}
0.003	1879.0	753479	2.7649	{'f1': 0.8400254939451881}	{'accuracy': 0.7593480345158198}
0.0042	1880.0	753880	2.6952	{'f1': 0.838709677419355}	{'accuracy': 0.7603068072866731}
0.0034	1881.0	754281	2.5917	{'f1': 0.8383773341918868}	{'accuracy': 0.7593480345158198}
0.003	1882.0	754682	2.7400	{'f1': 0.8417721518987342}	{'accuracy': 0.7603068072866731}
0.0025	1883.0	755083	2.8178	{'f1': 0.8408370323398858}	{'accuracy': 0.7593480345158198}
0.0025	1884.0	755484	2.8306	{'f1': 0.8426395939086295}	{'accuracy': 0.7622243528283796}
0.0014	1885.0	755885	2.8514	{'f1': 0.8407643312101911}	{'accuracy': 0.7603068072866731}
0.0025	1886.0	756286	2.6595	{'f1': 0.8422391857506362}	{'accuracy': 0.7622243528283796}
0.0036	1887.0	756687	2.6915	{'f1': 0.8405063291139242}	{'accuracy': 0.7583892617449665}
0.0016	1888.0	757088	2.7037	{'f1': 0.8409669211195929}	{'accuracy': 0.7603068072866731}
0.0016	1889.0	757489	2.6271	{'f1': 0.8437900128040973}	{'accuracy': 0.7660594439117929}
0.0033	1890.0	757890	2.6827	{'f1': 0.8431122448979593}	{'accuracy': 0.7641418983700863}
0.0027	1891.0	758291	2.5326	{'f1': 0.8434504792332268}	{'accuracy': 0.7651006711409396}
0.002	1892.0	758692	2.5853	{'f1': 0.8425096030729833}	{'accuracy': 0.7641418983700863}
0.0021	1893.0	759093	2.6142	{'f1': 0.8430493273542601}	{'accuracy': 0.7651006711409396}
0.0021	1894.0	759494	2.6887	{'f1': 0.8444444444444443}	{'accuracy': 0.7651006711409396}
0.0032	1895.0	759895	2.7187	{'f1': 0.8446417247939126}	{'accuracy': 0.7651006711409396}
0.0021	1896.0	760296	2.7225	{'f1': 0.8429752066115702}	{'accuracy': 0.763183125599233}
0.0023	1897.0	760697	2.6753	{'f1': 0.8379599741768883}	{'accuracy': 0.7593480345158198}
0.0046	1898.0	761098	2.6555	{'f1': 0.8375080282594733}	{'accuracy': 0.7574304889741131}
0.0046	1899.0	761499	2.7358	{'f1': 0.8403575989782885}	{'accuracy': 0.7603068072866731}
0.0028	1900.0	761900	2.8107	{'f1': 0.8409669211195929}	{'accuracy': 0.7603068072866731}
0.0017	1901.0	762301	2.7447	{'f1': 0.8416347381864623}	{'accuracy': 0.7622243528283796}
0.0026	1902.0	762702	2.7790	{'f1': 0.8381317978246962}	{'accuracy': 0.7574304889741131}
0.0023	1903.0	763103	2.7833	{'f1': 0.8405612244897959}	{'accuracy': 0.7603068072866731}
0.0015	1904.0	763504	2.7735	{'f1': 0.8394584139264991}	{'accuracy': 0.7612655800575263}
0.0015	1905.0	763905	2.7152	{'f1': 0.837299035369775}	{'accuracy': 0.7574304889741131}
0.0037	1906.0	764306	2.7566	{'f1': 0.839871382636656}	{'accuracy': 0.7612655800575263}
0.0023	1907.0	764707	2.8053	{'f1': 0.8399487836107554}	{'accuracy': 0.7603068072866731}
0.0022	1908.0	765108	2.8044	{'f1': 0.8406349206349206}	{'accuracy': 0.7593480345158198}
0.0021	1909.0	765509	2.7904	{'f1': 0.8422391857506362}	{'accuracy': 0.7622243528283796}
0.0021	1910.0	765910	2.7279	{'f1': 0.8392511297611364}	{'accuracy': 0.7612655800575263}
0.0031	1911.0	766311	2.5815	{'f1': 0.8408215661103978}	{'accuracy': 0.7622243528283796}
0.0036	1912.0	766712	2.6413	{'f1': 0.8421725239616613}	{'accuracy': 0.763183125599233}
0.0037	1913.0	767113	2.6444	{'f1': 0.8427109974424553}	{'accuracy': 0.7641418983700863}
0.0016	1914.0	767514	2.6911	{'f1': 0.8461051298290057}	{'accuracy': 0.7670182166826462}
0.0016	1915.0	767915	2.6524	{'f1': 0.8417680973734787}	{'accuracy': 0.763183125599233}
0.0023	1916.0	768316	2.6627	{'f1': 0.8446726572528884}	{'accuracy': 0.7679769894534996}
0.0024	1917.0	768717	2.6998	{'f1': 0.8454137267479153}	{'accuracy': 0.7689357622243528}
0.002	1918.0	769118	2.7575	{'f1': 0.8435114503816794}	{'accuracy': 0.7641418983700863}
0.0018	1919.0	769519	2.7518	{'f1': 0.8449809402795427}	{'accuracy': 0.7660594439117929}
0.0018	1920.0	769920	2.6958	{'f1': 0.8415651058370751}	{'accuracy': 0.763183125599233}
0.0027	1921.0	770321	2.7208	{'f1': 0.8458093410108765}	{'accuracy': 0.7689357622243528}
0.0022	1922.0	770722	2.7556	{'f1': 0.8460063897763579}	{'accuracy': 0.7689357622243528}
0.0012	1923.0	771123	2.8102	{'f1': 0.8440483768300445}	{'accuracy': 0.7651006711409396}
0.0015	1924.0	771524	2.8756	{'f1': 0.8446417247939126}	{'accuracy': 0.7651006711409396}
0.0015	1925.0	771925	2.8866	{'f1': 0.8445006321112516}	{'accuracy': 0.7641418983700863}
0.0021	1926.0	772326	2.8522	{'f1': 0.8460559796437659}	{'accuracy': 0.7679769894534996}
0.0016	1927.0	772727	2.9206	{'f1': 0.8472222222222222}	{'accuracy': 0.7679769894534996}
0.0023	1928.0	773128	2.9017	{'f1': 0.8442466624284806}	{'accuracy': 0.7651006711409396}
0.002	1929.0	773529	2.8669	{'f1': 0.8433121019108281}	{'accuracy': 0.7641418983700863}
0.002	1930.0	773930	2.8774	{'f1': 0.8449809402795427}	{'accuracy': 0.7660594439117929}
0.0028	1931.0	774331	2.9015	{'f1': 0.8468809073724007}	{'accuracy': 0.7670182166826462}
0.0022	1932.0	774732	2.7861	{'f1': 0.8437900128040973}	{'accuracy': 0.7660594439117929}
0.0024	1933.0	775133	2.8240	{'f1': 0.8449809402795427}	{'accuracy': 0.7660594439117929}
0.0021	1934.0	775534	2.8487	{'f1': 0.8464467005076141}	{'accuracy': 0.7679769894534996}
0.0021	1935.0	775935	2.8609	{'f1': 0.8459099556119215}	{'accuracy': 0.7670182166826462}
0.0017	1936.0	776336	2.8855	{'f1': 0.8462998102466792}	{'accuracy': 0.7670182166826462}
0.0015	1937.0	776737	2.8598	{'f1': 0.8442466624284806}	{'accuracy': 0.7651006711409396}
0.0022	1938.0	777138	2.8218	{'f1': 0.8427835051546391}	{'accuracy': 0.7660594439117929}
0.0025	1939.0	777539	2.8815	{'f1': 0.8450347881087918}	{'accuracy': 0.7651006711409396}
0.0025	1940.0	777940	2.7933	{'f1': 0.8446726572528884}	{'accuracy': 0.7679769894534996}
0.0028	1941.0	778341	2.7669	{'f1': 0.842443729903537}	{'accuracy': 0.7651006711409396}
0.0023	1942.0	778742	2.8497	{'f1': 0.8462998102466792}	{'accuracy': 0.7670182166826462}
0.0016	1943.0	779143	2.7680	{'f1': 0.8435897435897436}	{'accuracy': 0.7660594439117929}
0.0025	1944.0	779544	2.8139	{'f1': 0.8434504792332268}	{'accuracy': 0.7651006711409396}
0.0025	1945.0	779945	2.8529	{'f1': 0.8459099556119215}	{'accuracy': 0.7670182166826462}
0.0019	1946.0	780346	2.8353	{'f1': 0.8449266113592852}	{'accuracy': 0.7670182166826462}
0.0015	1947.0	780747	2.8326	{'f1': 0.8458093410108765}	{'accuracy': 0.7689357622243528}
0.0015	1948.0	781148	2.9020	{'f1': 0.8443037974683545}	{'accuracy': 0.7641418983700863}
0.0024	1949.0	781549	2.8690	{'f1': 0.8453214513049013}	{'accuracy': 0.7670182166826462}
0.0024	1950.0	781950	2.8735	{'f1': 0.8449266113592852}	{'accuracy': 0.7670182166826462}
0.0013	1951.0	782351	2.8960	{'f1': 0.8464467005076141}	{'accuracy': 0.7679769894534996}
0.0022	1952.0	782752	2.9193	{'f1': 0.8452305748578648}	{'accuracy': 0.7651006711409396}
0.0014	1953.0	783153	2.9287	{'f1': 0.8446969696969698}	{'accuracy': 0.7641418983700863}
0.0014	1954.0	783554	2.9220	{'f1': 0.8447837150127226}	{'accuracy': 0.7660594439117929}
0.0014	1955.0	783955	2.9421	{'f1': 0.844106463878327}	{'accuracy': 0.7641418983700863}
0.0012	1956.0	784356	2.8378	{'f1': 0.8426461143224149}	{'accuracy': 0.7651006711409396}
0.0039	1957.0	784757	2.8241	{'f1': 0.8428479794740218}	{'accuracy': 0.7651006711409396}
0.0025	1958.0	785158	2.8523	{'f1': 0.8434504792332268}	{'accuracy': 0.7651006711409396}
0.0029	1959.0	785559	2.7509	{'f1': 0.8430493273542601}	{'accuracy': 0.7651006711409396}
0.0029	1960.0	785960	2.7755	{'f1': 0.8438495857233907}	{'accuracy': 0.7651006711409396}
0.0016	1961.0	786361	2.7754	{'f1': 0.8435897435897436}	{'accuracy': 0.7660594439117929}
0.0018	1962.0	786762	2.7565	{'f1': 0.8414948453608248}	{'accuracy': 0.7641418983700863}
0.0017	1963.0	787163	2.7989	{'f1': 0.8421725239616613}	{'accuracy': 0.763183125599233}
0.003	1964.0	787564	2.8220	{'f1': 0.8438495857233907}	{'accuracy': 0.7651006711409396}
0.003	1965.0	787965	2.8320	{'f1': 0.8433121019108281}	{'accuracy': 0.7641418983700863}
0.0011	1966.0	788366	2.8321	{'f1': 0.843650287172942}	{'accuracy': 0.7651006711409396}
0.0017	1967.0	788767	2.8191	{'f1': 0.8432501599488165}	{'accuracy': 0.7651006711409396}
0.0038	1968.0	789168	2.8443	{'f1': 0.8422391857506362}	{'accuracy': 0.7622243528283796}
0.0031	1969.0	789569	2.8107	{'f1': 0.8419705694177864}	{'accuracy': 0.763183125599233}
0.0031	1970.0	789970	2.8275	{'f1': 0.8416347381864623}	{'accuracy': 0.7622243528283796}
0.0014	1971.0	790371	2.8171	{'f1': 0.8434504792332268}	{'accuracy': 0.7651006711409396}
0.0026	1972.0	790772	2.8162	{'f1': 0.8434504792332268}	{'accuracy': 0.7651006711409396}
0.0016	1973.0	791173	2.8248	{'f1': 0.8439897698209718}	{'accuracy': 0.7660594439117929}
0.0016	1974.0	791574	2.8098	{'f1': 0.8430493273542601}	{'accuracy': 0.7651006711409396}
0.0016	1975.0	791975	2.8264	{'f1': 0.8439897698209718}	{'accuracy': 0.7660594439117929}
0.0014	1976.0	792376	2.8358	{'f1': 0.8439897698209718}	{'accuracy': 0.7660594439117929}
0.0014	1977.0	792777	2.8426	{'f1': 0.8434504792332268}	{'accuracy': 0.7651006711409396}
0.0021	1978.0	793178	2.8244	{'f1': 0.8443305573350417}	{'accuracy': 0.7670182166826462}
0.0025	1979.0	793579	2.8425	{'f1': 0.8439897698209718}	{'accuracy': 0.7660594439117929}
0.0025	1980.0	793980	2.8613	{'f1': 0.8447284345047924}	{'accuracy': 0.7670182166826462}
0.0012	1981.0	794381	2.8741	{'f1': 0.8449266113592852}	{'accuracy': 0.7670182166826462}
0.0012	1982.0	794782	2.8650	{'f1': 0.8443877551020408}	{'accuracy': 0.7660594439117929}
0.0022	1983.0	795183	2.8685	{'f1': 0.8438495857233907}	{'accuracy': 0.7651006711409396}
0.0022	1984.0	795584	2.8866	{'f1': 0.8435114503816794}	{'accuracy': 0.7641418983700863}
0.0022	1985.0	795985	2.8783	{'f1': 0.8431746031746032}	{'accuracy': 0.763183125599233}
0.0033	1986.0	796386	2.8756	{'f1': 0.8431746031746032}	{'accuracy': 0.763183125599233}
0.0023	1987.0	796787	2.8828	{'f1': 0.8421052631578947}	{'accuracy': 0.7612655800575263}
0.0035	1988.0	797188	2.8891	{'f1': 0.8421052631578947}	{'accuracy': 0.7612655800575263}
0.002	1989.0	797589	2.8794	{'f1': 0.8421052631578947}	{'accuracy': 0.7612655800575263}
0.002	1990.0	797990	2.8853	{'f1': 0.8421052631578947}	{'accuracy': 0.7612655800575263}
0.0014	1991.0	798391	2.8792	{'f1': 0.8431746031746032}	{'accuracy': 0.763183125599233}
0.0026	1992.0	798792	2.8799	{'f1': 0.8424396442185516}	{'accuracy': 0.7622243528283796}
0.0023	1993.0	799193	2.8842	{'f1': 0.8424396442185516}	{'accuracy': 0.7622243528283796}
0.0009	1994.0	799594	2.8852	{'f1': 0.8424396442185516}	{'accuracy': 0.7622243528283796}
0.0009	1995.0	799995	2.8847	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}
0.0017	1996.0	800396	2.8860	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}
0.0032	1997.0	800797	2.8866	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}
0.0013	1998.0	801198	2.8839	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}
0.0022	1999.0	801599	2.8823	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}
0.0018	2000.0	802000	2.8822	{'f1': 0.8419047619047619}	{'accuracy': 0.7612655800575263}

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

kwwww/bert-base-uncased-test_16_6414

bert-base-uncased-test_16_6414

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

kwwww/
bert-base-uncased-test_16_6414