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Model Trained Using AutoTrain

  • Problem type: Tabular regression

Validation Metrics

  • r2: 0.19049946745813506
  • mse: 2090173568.9542394
  • mae: 38517.69777526885
  • rmse: 45718.41608098688
  • rmsle: 0.22010094141328534
  • loss: 45718.41608098688

Best Params

  • alpha: 0.0007335286293009105
  • fit_intercept: True
  • max_iter: 9736

Usage

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
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