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rea-svm – AI Model by maitelizarraga | AlphaNeural AI

You can deploy this model and start earning money today!

maitelizarraga/
rea-svm

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tabular-regression

rea-svm/autotrain-data

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Model Trained Using AutoTrain

Problem type: Tabular regression

Validation Metrics

r2: -13.723120886842382
mse: 38015883737.055504
mae: 174448.73032973852
rmse: 194976.62356563544
rmsle: 2.6073960566969823
loss: 194976.62356563544

Best Params

C: 60.27729201980406
fit_intercept: False
loss: epsilon_insensitive
epsilon: 0.00020827552565594136
max_iter: 9903

Usage

python

import json
import joblib
import pandas as pd

model = joblib.load('model.joblib')
config = json.load(open('config.json'))

features = config['features']

# data = pd.read_csv("data.csv")
data = data[features]

predictions = model.predict(data)  # or model.predict_proba(data)

# predictions can be converted to original labels using label_encoders.pkl