maitelizarraga/rea-svm

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

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