evgpat/autotrain-ainzb-v3kva

Model Trained Using AutoTrain

• Problem type: Tabular classification

Validation Metrics

• auc: 0.8997762148337596
• logloss: 0.09758386704239537
• f1: 0.19753086419753085
• accuracy: 0.9675
• precision: 0.6153846153846154
• recall: 0.11764705882352941
• loss: 0.09758386704239537

Best Params

• C: 9.888833924934179
• fit_intercept: False
• solver: saga
• penalty: l2

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