README.md

metadata

tags:
  - autotrain
  - tabular
  - classification
  - structured-data-classification
datasets:
  - vabadeh213/autotrain-data-titanic
co2_eq_emissions: 0.00509303545772981

https://colab.research.google.com/drive/16rmsJTBelh2vIWVxt9ncFEJmU7cEdUsE?usp=sharing

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 744222727
• CO2 Emissions (in grams): 0.00509303545772981

Validation Metrics

• Loss: 0.40596098709549455
• Accuracy: 0.8378378378378378
• Precision: 0.8518518518518519
• Recall: 0.92
• AUC: 0.8866666666666667
• F1: 0.8846153846153846

Usage

import json
import joblib

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)