metadata
tags:
- autotrain
- tabular
- classification
- tabular-classification
datasets:
- Wei-Meng/autotrain-data-diabetes
co2_eq_emissions:
emissions: 0.015883587311231233
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 86722143226
- CO2 Emissions (in grams): 0.0159
Validation Metrics
- Loss: 0.459
- Accuracy: 0.773
- Precision: 0.694
- Recall: 0.630
- AUC: 0.842
- F1: 0.660
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)