Calculating AUC and GINI model metrics for logistic classification

For logistics classification problem we use AUC metrics to check the model performance. The higher is better however any value above 80% is considered good and over 90% means the model is behaving great. AUC is an abbreviation for Area Under the Curve. It is used in classification analysis in order to determine which of the […]

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