metadata
tags:
- autotrain
- tabular
- classification
- tabular-classification
datasets:
- marac5/autotrain-data-builty-2-table-searcher
co2_eq_emissions:
emissions: 7.738626953271278
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 3373492718
- CO2 Emissions (in grams): 7.7386
Validation Metrics
- Loss: 0.360
- Accuracy: 0.871
- Precision: 0.871
- Recall: 0.783
- AUC: 0.916
- F1: 0.824
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)