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This book is for you if

you've been building scorecards using SAS or SPSS and want to do the same thing in R, or
you want a step-by-step guide to building and backtesting a binary classifier using logistic regression in R, or
you want to learn how to automate the model selection process using the best subset mehtod, or
you want to understand the differences amongst the 6 performance measures: Accuracy, Sensitivity, False Positive Rate, Specificity, Precision, and the F-measure, and when to use which.
you want to learn how to make the ROC curve and calculate the Aear Under the Curve (AUC) in R.

This book is not for you if

you're looking for thorough understanding of the relavent statistical theories. This is a how-to book, not a why book, though intuitive reasons are pointed out whenever possible.
you need to see math formulas. All formulas are presented directly in the form of R code.
you're looking for an introductory R book. This book doesn't explain how R works.

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Email the Author