This R script contains function to compute model metrics like MAD, MSE, MAPE R2 for numeric predictor variable. R code to compute the binary model metrics like Log-likelihood, AIC and BIC. This code could be further used to compare 2 models based on these metrics. It also contains function to create confusion matrix for logestic model based on a given probability cut-off value. Finally plot ROC and AUC to assess the model fits.