Package: Rprofet 3.1.1

Introduction | Coarse Binning of the variables | WOE Transformation of the Bins | Information Value and Variable Importance | Entropy | Relative Entropy and Jeffreys’ Divergence | Information Value | Variable Clustering | K-means Clustering | Hierarchical Clustering | Manual Fine Tuning of the Bins | Logistic Regression Model and Stepwise Variable Selectioin | Logistic Regression Model | WOE Transformed Variables in Logistic Regression Models | Stepwise Variable Selection | Building a Scorecard | Scoring Validation Data | Model Validation and Predictive Power | Gains Table | The ROC Curve and AUC Statistic | Measures of Accuracy for Binary Classifiers | The ROC Curve | Summarizing ROC Curve and AUC | Kolmogorov–Smirnov (KS) Statistics