Tyberghein
/

rocpourpredire

Tabular Classification

Trained with AutoTrain

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Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 67741137056
CO2 Emissions (in grams): 1.2144

Validation Metrics

Loss: 0.000
Accuracy: 1.000
Precision: 1.000
Recall: 1.000
AUC: 1.000
F1: 1.000

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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