Kluuking
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autotrain-test-3-38732101859

Tabular Classification Transformers Joblib

xgboost Trained with AutoTrain tabular classification Carbon Emissions Inference Endpoints

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Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 38732101859
CO2 Emissions (in grams): 0.9466

Validation Metrics

Loss: 0.527
Accuracy: 0.742
Precision: 0.562
Recall: 0.168
AUC: 0.702
F1: 0.258

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)

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