maitelizarraga/rea-ridge

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