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nkarthikeyan/
IubNet

safetensors

cnn

10.57967/hf/4312

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UCI Adult Data Analysis model using Tensorflow

Version: 0.1

Short Description: UCI Adult Data analysis using Tensorflow for demonstration of Patra Model Cards.

Full Description: We have trained a ML model using the tensorflow framework to predict income for the UCI Adult Dataset. We leverage this data to run the Patra model cards to capture metadata about the model as well as fairness and explainability metrics.

Keywords: uci adult, tensorflow, explainability, fairness, patra

Author: Your Name

Input Type: Tabular

Category: classification

Foundational Model: None

Input Data: https://archive.ics.uci.edu/ml/datasets/adult

Output Data: https://github.iu.edu/d2i/dockerhub/tensorflow/adult_modelv01

AI Model

Name: Income prediction tensorflow model

Version: 0.1

Description: Census classification problem using TensorFlow Neural Network using the UCI Adult Dataset

Owner: Your Name or Organization

Location: https://example.com/path-to-model

License: BSD-3 Clause

Framework: tensorflow

Model Type: dnn

Test Accuracy: 0.7919545769691467

Model Structure

json

{
    "module": "keras",
    "class_name": "Sequential",
    "config": {
        "name": "sequential",
        "trainable": true,
        "dtype": {
            "module": "keras",
            "class_name": "DTypePolicy",
            "config": {
                "name": "float32"
            }
        },
        "layers": [
            {
                "module": "keras.layers",
                "class_name": "InputLayer",
                "config": {
                    "batch_shape": [
                        100
                    ],
                    "dtype": "float32",
                    "sparse": false,
                    "name": "input_layer"
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 64,
                    "activation": "relu",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        100
                    ]
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense_1",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 128,
                    "activation": "relu",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        64
                    ]
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense_2",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 64,
                    "activation": "relu",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        128
                    ]
                }
            },
            {
                "module": "keras.layers",
                "class_name": "Dense",
                "config": {
                    "name": "dense_3",
                    "trainable": true,
                    "dtype": {
                        "module": "keras",
                        "class_name": "DTypePolicy",
                        "config": {
                            "name": "float32"
                        }
                    },
                    "units": 1,
                    "activation": "sigmoid",
                    "use_bias": true,
                    "kernel_initializer": {
                        "module": "keras.initializers",
                        "class_name": "GlorotUniform",
                        "config": {}
                    },
                    "bias_initializer": {
                        "module": "keras.initializers",
                        "class_name": "Zeros",
                        "config": {}
                    }
                },
                "build_config": {
                    "input_shape": [
                        64
                    ]
                }
            }
        ],
        "build_input_shape": [
            100
        ]
    },
    "build_config": {
        "input_shape": [
            100
        ]
    },
    "compile_config": {
        "optimizer": {
            "module": "keras.optimizers",
            "class_name": "Adam",
            "config": {
                "name": "adam",
                "learning_rate": 0.0010000000474974513,
                "use_ema": false,
                "ema_momentum": 0.99,
                "beta_1": 0.9,
                "beta_2": 0.999,
                "epsilon": 1e-07,
                "amsgrad": false
            }
        },
        "loss": "binary_crossentropy",
        "metrics": [
            "accuracy"
        ],
        "run_eagerly": false,
        "steps_per_execution": 1,
        "jit_compile": false
    }
}

Metrics

Test loss: 0.5084354877471924
Epochs: 100
Batch Size: 32
Optimizer: Adam
Learning Rate: 0.001
Input Shape: (26048, 100)

Bias Analysis

demographic_parity_diff: 0.032400848225782965
equal_odds_difference: 0.03417438108252019

Explainability Analysis

capital_gain: 0.14158532669974697
fnlwgt: 0.015681726452377108
age: 0.00021690960559580313
hours_per_week: 0.00013091093136204657
relationship__Not_in_family: 7.917947239345974e-05
marital_status__Married_civ_spouse: 7.522924906677672e-05
education__HS_grad: 5.9253134661254366e-05
occupation__Exec_managerial: 5.8465765582191924e-05
marital_status__Never_married: 2.9966458678243015e-05
education_num: 2.848242719968154e-05

Model Requirements

absl-py==1.4.0
accelerate==1.2.1
aiohappyeyeballs==2.4.4
aiohttp==3.11.11
aiosignal==1.3.2
alabaster==1.0.0
albucore==0.0.19
albumentations==1.4.20
ale-py==0.10.1
altair==5.5.0
annotated-types==0.7.0
anyio==3.7.1
argon2-cffi-bindings==21.2.0
argon2-cffi==23.1.0
array-record==0.6.0
arviz==0.20.0
astropy-iers-data==0.2025.1.27.0.32.44
astropy==6.1.7
astunparse==1.6.3
atpublic==4.1.0
attrs==25.1.0
audioread==3.0.1
autocommand==2.2.2
autograd==1.7.0
babel==2.16.0
backcall==0.2.0
backports.tarfile==1.2.0
beautifulsoup4==4.12.3
bigframes==1.33.0
bigquery-magics==0.5.0
bleach==6.2.0
blinker==1.9.0
blis==0.7.11
blosc2==3.0.0
bokeh==3.6.2
bottleneck==1.4.2
bqplot==0.12.44
branca==0.8.1
cachecontrol==0.14.2
cachetools==5.5.1
catalogue==2.0.10
certifi==2024.12.14
cffi==1.17.1
chardet==5.2.0
charset-normalizer==3.4.1
chex==0.1.88
clarabel==0.9.0
click==8.1.8
cloudpathlib==0.20.0
cloudpickle==3.1.1
cmake==3.31.4
cmdstanpy==1.2.5
colorcet==3.1.0
colorlover==0.3.0
colour==0.1.5
community==1.0.0b1
confection==0.1.5
cons==0.4.6
contourpy==1.3.1
cramjam==2.9.1
cryptography==43.0.3
cuda-python==12.6.0
cudf-cu12==24.12.0
cufflinks==0.17.3
cupy-cuda12x==13.3.0
cvxopt==1.3.2
cvxpy==1.6.0
cycler==0.12.1
cyipopt==1.5.0
cymem==2.0.11
cython==3.0.11
dask==2024.10.0
datascience==0.17.6
db-dtypes==1.4.0
dbus-python==1.2.18
debugpy==1.8.0
decorator==4.4.2
defusedxml==0.7.1
deprecated==1.2.18
diffusers==0.32.2
distro==1.9.0
dlib==19.24.2
dm-tree==0.1.8
docker-pycreds==0.4.0
docstring-parser==0.16
docutils==0.21.2
dopamine-rl==4.1.2
duckdb==1.1.3
earthengine-api==1.4.6
easydict==1.13
editdistance==0.8.1
eerepr==0.1.0
einops==0.8.0
en-core-web-sm==3.7.1
entrypoints==0.4
et-xmlfile==2.0.0
etils==1.11.0
etuples==0.3.9
eval-type-backport==0.2.2
farama-notifications==0.0.4
fastai==2.7.18
fastcore==1.7.28
fastdownload==0.0.7
fastjsonschema==2.21.1
fastprogress==1.0.3
fastrlock==0.8.3
filelock==3.17.0
firebase-admin==6.6.0
flask==3.1.0
flatbuffers==25.1.24
flax==0.10.2
folium==0.19.4
fonttools==4.55.6
frozendict==2.4.6
frozenlist==1.5.0
fsspec==2024.10.0
future==1.0.0
gast==0.6.0
gcsfs==2024.10.0
gdal==3.6.4
gdown==5.2.0
geemap==0.35.1
gensim==4.3.3
geocoder==1.38.1
geographiclib==2.0
geopandas==1.0.1
geopy==2.4.1
gin-config==0.5.0
gitdb==4.0.12
gitpython==3.1.44
glob2==0.7
google-ai-generativelanguage==0.6.15
google-api-core==2.19.2
google-api-python-client==2.155.0
google-auth-httplib2==0.2.0
google-auth-oauthlib==1.2.1
google-auth==2.27.0
google-cloud-aiplatform==1.74.0
google-cloud-bigquery-connection==1.17.0
google-cloud-bigquery-storage==2.27.0
google-cloud-bigquery==3.25.0
google-cloud-bigtable==2.28.1
google-cloud-core==2.4.1
google-cloud-datastore==2.20.2
google-cloud-firestore==2.19.0
google-cloud-functions==1.19.0
google-cloud-iam==2.17.0
google-cloud-language==2.16.0
google-cloud-pubsub==2.25.0
google-cloud-resource-manager==1.14.0
google-cloud-spanner==3.51.0
google-cloud-storage==2.19.0
google-cloud-translate==3.19.0
google-colab==1.0.0
google-crc32c==1.6.0
google-genai==0.3.0
google-generativeai==0.8.4
google-pasta==0.2.0
google-resumable-media==2.7.2
google==2.0.3
googleapis-common-protos==1.66.0
googledrivedownloader==0.4
graphviz==0.20.3
greenlet==3.1.1
grpc-google-iam-v1==0.14.0
grpc-interceptor==0.15.4
grpcio-status==1.62.3
grpcio==1.70.0
gspread-dataframe==4.0.0
gspread==6.1.4
gym-notices==0.0.8
gym==0.25.2
gymnasium==1.0.0
h11==0.14.0
h5netcdf==1.5.0
h5py==3.12.1
highspy==1.9.0
holidays==0.65
holoviews==1.20.0
html5lib==1.1
httpcore==1.0.7
httpimport==1.4.0
httplib2==0.22.0
httpx==0.28.1
huggingface-hub==0.27.1
humanize==4.11.0
hyperopt==0.2.7
ibis-framework==9.2.0
idna==3.10
imageio-ffmpeg==0.6.0
imageio==2.36.1
imagesize==1.4.1
imbalanced-learn==0.13.0
imgaug==0.4.0
immutabledict==4.2.1
importlib-metadata==8.6.1
importlib-resources==6.5.2
imutils==0.5.4
inflect==7.5.0
iniconfig==2.0.0
intel-cmplr-lib-ur==2025.0.4
intel-openmp==2025.0.4
ipyevents==2.0.2
ipyfilechooser==0.6.0
ipykernel==5.5.6
ipyleaflet==0.19.2
ipyparallel==8.8.0
ipython-genutils==0.2.0
ipython-sql==0.5.0
ipython==7.34.0
ipytree==0.2.2
ipywidgets==7.7.1
itsdangerous==2.2.0
jaraco.collections==5.1.0
jaraco.context==5.3.0
jaraco.functools==4.0.1
jaraco.text==3.12.1
jax-cuda12-pjrt==0.4.33
jax-cuda12-plugin==0.4.33
jax==0.4.33
jaxlib==0.4.33
jeepney==0.7.1
jellyfish==1.1.0
jieba==0.42.1
jinja2==3.1.5
jiter==0.8.2
joblib==1.4.2
jsonpatch==1.33
jsonpickle==4.0.1
jsonpointer==3.0.0
jsonschema-specifications==2024.10.1
jsonschema==4.23.0
jupyter-client==6.1.12
jupyter-console==6.1.0
jupyter-core==5.7.2
jupyter-leaflet==0.19.2
jupyter-server==1.24.0
jupyterlab-pygments==0.3.0
jupyterlab-widgets==3.0.13
kaggle==1.6.17
kagglehub==0.3.6
keras==3.8.0
keyring==23.5.0
kiwisolver==1.4.8
langchain-core==0.3.31
langchain-text-splitters==0.3.5
langchain==0.3.15
langcodes==3.5.0
langsmith==0.3.1
language-data==1.3.0
launchpadlib==1.10.16
lazr.restfulclient==0.14.4
lazr.uri==1.0.6
lazy-loader==0.4
libclang==18.1.1
libcudf-cu12==24.12.0
libkvikio-cu12==24.12.1
librosa==0.10.2.post1
lightgbm==4.5.0
linkify-it-py==2.0.3
llvmlite==0.43.0
locket==1.0.0
logical-unification==0.4.6
lxml==5.3.0
marisa-trie==1.2.1
markdown-it-py==3.0.0
markdown==3.7
markupsafe==3.0.2
matplotlib-inline==0.1.7
matplotlib-venn==1.1.1
matplotlib==3.10.0
mdit-py-plugins==0.4.2
mdurl==0.1.2
minikanren==1.0.3
missingno==0.5.2
mistune==3.1.0
mizani==0.13.1
mkl==2025.0.1
ml-dtypes==0.4.1
mlxtend==0.23.4
more-itertools==10.5.0
moviepy==1.0.3
mpmath==1.3.0
msgpack==1.1.0
multidict==6.1.0
multipledispatch==1.0.0
multitasking==0.0.11
murmurhash==1.0.12
music21==9.3.0
namex==0.0.8
narwhals==1.24.0
natsort==8.4.0
nbclassic==1.2.0
nbclient==0.10.2
nbconvert==7.16.5
nbformat==5.10.4
ndindex==1.9.2
nest-asyncio==1.6.0
networkx==3.4.2
nibabel==5.3.2
nltk==3.9.1
notebook-shim==0.2.4
notebook==6.5.5
numba-cuda==0.0.17.1
numba==0.60.0
numexpr==2.10.2
numpy==1.26.4
nvidia-cublas-cu12==12.5.3.2
nvidia-cuda-cupti-cu12==12.5.82
nvidia-cuda-nvcc-cu12==12.5.82
nvidia-cuda-nvrtc-cu12==12.5.82
nvidia-cuda-runtime-cu12==12.5.82
nvidia-cudnn-cu12==9.3.0.75
nvidia-cufft-cu12==11.2.3.61
nvidia-curand-cu12==10.3.6.82
nvidia-cusolver-cu12==11.6.3.83
nvidia-cusparse-cu12==12.5.1.3
nvidia-nccl-cu12==2.21.5
nvidia-nvcomp-cu12==4.1.0.6
nvidia-nvjitlink-cu12==12.5.82
nvidia-nvtx-cu12==12.4.127
nvtx==0.2.10
nx-cugraph-cu12==24.12.0
oauth2client==4.1.3
oauthlib==3.2.2
openai==1.59.9
opencv-contrib-python==4.10.0.84
opencv-python-headless==4.11.0.86
opencv-python==4.10.0.84
openpyxl==3.1.5
opentelemetry-api==1.16.0
opentelemetry-sdk==1.16.0
opentelemetry-semantic-conventions==0.37b0
opt-einsum==3.4.0
optax==0.2.4
optree==0.14.0
orbax-checkpoint==0.6.4
orjson==3.10.15
osqp==0.6.7.post3
packaging==24.2
pandas-datareader==0.10.0
pandas-gbq==0.26.1
pandas-stubs==2.2.2.240909
pandas==2.2.2
pandocfilters==1.5.1
panel==1.6.0
param==2.2.0
parso==0.8.4
parsy==2.1
partd==1.4.2
pathlib==1.0.1
patra-toolkit==0.1.2
patsy==1.0.1
peewee==3.17.8
peft==0.14.0
pexpect==4.9.0
pickleshare==0.7.5
pillow==11.1.0
pip==24.1.2
platformdirs==4.3.6
plotly==5.24.1
plotnine==0.14.5
pluggy==1.5.0
ply==3.11
polars==1.9.0
pooch==1.8.2
portpicker==1.5.2
preshed==3.0.9
prettytable==3.13.0
proglog==0.1.10
progressbar2==4.5.0
prometheus-client==0.21.1
promise==2.3
prompt-toolkit==3.0.50
propcache==0.2.1
prophet==1.1.6
proto-plus==1.25.0
protobuf==4.25.6
psutil==5.9.5
psycopg2==2.9.10
ptyprocess==0.7.0
py-cpuinfo==9.0.0
py4j==0.10.9.7
pyarrow==17.0.0
pyasn1-modules==0.4.1
pyasn1==0.6.1
pycocotools==2.0.8
pycparser==2.22
pydantic-core==2.27.2
pydantic==2.10.6
pydata-google-auth==1.9.1
pydot==3.0.4
pydotplus==2.0.2
pydrive2==1.21.3
pydrive==1.3.1
pyerfa==2.0.1.5
pygame==2.6.1
pygit2==1.16.0
pygments==2.18.0
pygobject==3.42.1
pyjwt==2.10.1
pylibcudf-cu12==24.12.0
pylibcugraph-cu12==24.12.0
pylibraft-cu12==24.12.0
pymc==5.19.1
pymystem3==0.2.0
pynvjitlink-cu12==0.4.0
pyogrio==0.10.0
pyomo==6.8.2
pyopengl==3.1.9
pyopenssl==24.2.1
pyparsing==3.2.1
pyperclip==1.9.0
pyproj==3.7.0
pyshp==2.3.1
pysocks==1.7.1
pyspark==3.5.4
pytensor==2.26.4
pytest==8.3.4
python-apt==0.0.0
python-box==7.3.2
python-dateutil==2.8.2
python-louvain==0.16
python-slugify==8.0.4
python-snappy==0.7.3
python-utils==3.9.1
pytz==2024.2
pyviz-comms==3.0.4
pyyaml==6.0.2
pyzmq==24.0.1
qdldl==0.1.7.post5
ratelim==0.1.6
referencing==0.36.2
regex==2024.11.6
requests-oauthlib==1.3.1
requests-toolbelt==1.0.0
requests==2.32.3
requirements-parser==0.9.0
rich==13.9.4
rmm-cu12==24.12.1
rpds-py==0.22.3
rpy2==3.4.2
rsa==4.9
safetensors==0.5.2
scikit-image==0.25.1
scikit-learn==1.6.1
scipy==1.13.1
scooby==0.10.0
scs==3.2.7.post2
seaborn==0.13.2
secretstorage==3.3.1
send2trash==1.8.3
sentence-transformers==3.3.1
sentencepiece==0.2.0
sentry-sdk==2.20.0
setproctitle==1.3.4
setuptools==75.1.0
shapely==2.0.6
shellingham==1.5.4
simple-parsing==0.1.7
six==1.17.0
sklearn-compat==0.1.3
sklearn-pandas==2.2.0
slicer==0.0.8
smart-open==7.1.0
smmap==5.0.2
sniffio==1.3.1
snowballstemmer==2.2.0
soundfile==0.13.1
soupsieve==2.6
soxr==0.5.0.post1
spacy-legacy==3.0.12
spacy-loggers==1.0.5
spacy==3.7.5
spanner-graph-notebook==1.0.9
sphinx==8.1.3
sphinxcontrib-applehelp==2.0.0
sphinxcontrib-devhelp==2.0.0
sphinxcontrib-htmlhelp==2.1.0
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==2.0.0
sphinxcontrib-serializinghtml==2.0.0
sqlalchemy==2.0.37
sqlglot==25.6.1
sqlparse==0.5.3
srsly==2.5.1
stanio==0.5.1
statsmodels==0.14.4
stringzilla==3.11.3
sympy==1.13.1
tables==3.10.2
tabulate==0.9.0
tbb==2022.0.0
tcmlib==1.2.0
tenacity==9.0.0
tensorboard-data-server==0.7.2
tensorboard==2.18.0
tensorflow-datasets==4.9.7
tensorflow-hub==0.16.1
tensorflow-io-gcs-filesystem==0.37.1
tensorflow-metadata==1.16.1
tensorflow-probability==0.24.0
tensorflow==2.18.0
tensorstore==0.1.71
termcolor==2.5.0
terminado==0.18.1
text-unidecode==1.3
textblob==0.17.1
tf-keras==2.18.0
tf-slim==1.1.0
thinc==8.2.5
threadpoolctl==3.5.0
tifffile==2025.1.10
timm==1.0.14
tinycss2==1.4.0
tokenizers==0.21.0
toml==0.10.2
tomli==2.0.1
toolz==0.12.1
torch==2.5.1+cu124
torchaudio==2.5.1+cu124
torchsummary==1.5.1
torchvision==0.20.1+cu124
tornado==6.3.3
tqdm==4.67.1
traitlets==5.7.1
traittypes==0.2.1
transformers==4.47.1
triton==3.1.0
tweepy==4.14.0
typeguard==4.4.1
typer==0.15.1
types-pytz==2024.2.0.20241221
types-setuptools==75.8.0.20250110
typing-extensions==4.12.2
tzdata==2025.1
tzlocal==5.2
uc-micro-py==1.0.3
umf==0.9.1
uritemplate==4.1.1
urllib3==2.3.0
vega-datasets==0.9.0
wadllib==1.3.6
wandb==0.19.4
wasabi==1.1.3
wcwidth==0.2.13
weasel==0.4.1
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
websockets==14.2
werkzeug==3.1.3
wheel==0.45.1
widgetsnbextension==3.6.10
wordcloud==1.9.4
wrapt==1.17.2
xarray-einstats==0.8.0
xarray==2025.1.1
xgboost==2.1.3
xlrd==2.0.1
xyzservices==2025.1.0
yarl==1.18.3
yellowbrick==1.5
yfinance==0.2.52
zipp==3.21.0
zstandard==0.23.0

nkarthikeyan/IubNet