abhishek/autotrain-adult-census-xgboost

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 9725286
• CO2 Emissions (in grams): 0.12693590577861977

Validation Metrics

• Loss: 0.26716182056213406
• Accuracy: 0.8750191923844618
• Precision: 0.7840481565086531
• Recall: 0.6641172721478649
• AUC: 0.9345322809861784
• F1: 0.7191166321601105

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]
data.columns = ["feat_" + str(col) for col in data.columns]

predictions = model.predict(data)  # or model.predict_proba(data)