Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 934630783
  • CO2 Emissions (in grams): 38.42484725553464

Validation Metrics

  • Loss: 0.2984429822985684
  • Accuracy: 0.8628221244500315
  • Precision: 0.7873263888888888
  • Recall: 0.5908794788273616
  • AUC: 0.9182195921357326
  • F1: 0.6751023446222553

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)
Downloads last month
14
Inference Examples
Inference API (serverless) does not yet support transformers models for this pipeline type.

Spaces using rajistics/autotrain-Adult-934630783 52