atheno3/autotrain-iben7-xhpuo

Model Trained Using AutoTrain

• Problem type: Tabular classification

Validation Metrics

• auc: 1.0
• logloss: 0.025053335605932175
• f1: 1.0
• accuracy: 1.0
• precision: 1.0
• recall: 1.0
• loss: 0.025053335605932175

Best Params

• learning_rate: 0.12345397966448246
• reg_lambda: 2.4294163996630167e-08
• reg_alpha: 3.168245100984154e-06
• subsample: 0.8396911707024661
• colsample_bytree: 0.8419140279836324
• max_depth: 8
• early_stopping_rounds: 414
• n_estimators: 20000
• eval_metric: logloss

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