--- tags: - autotrain - tabular - classification - tabular-classification datasets: - jwan2021/autotrain-data-jwan-autotrain1 co2_eq_emissions: emissions: 2.9876405883375106 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 1768961489 - CO2 Emissions (in grams): 2.9876 ## Validation Metrics - Loss: 0.042 - Accuracy: 0.983 - Precision: 1.000 - Recall: 0.953 - AUC: 1.000 - F1: 0.976 ## Usage ```python 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) ```