Outlines the nuts and bolts of correlation between past and future performance, or between expected and actual returns ... who think that regression to the mean has nothing to do with correlation ...

James McCaffrey of Microsoft Research uses code samples, a full C# program and screenshots to detail the ins and outs of kernal logistic regression ... double z = num / denom; return Math.Exp(-z); } ...

do not need a transform. Training and Evaluating the Model The ML.NET library supports a wide range of binary classifiers. The demo uses the LbfgsLogisticRegression trainer. Other binary classifiers ...

As the title “Practical Regression” suggests, these notes are a guide to performing regression in practice. This note explains how to choose between log and linear specification. The note emphasizes ...