From d0adb4b48567a33c6bb177c2cb8a7e2c6cdd1a53 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Tue, 17 Sep 2019 22:31:23 +0200 Subject: [PATCH] to do for logreg --- doc/src/LogisticRegression/LogReg.do.txt | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/doc/src/LogisticRegression/LogReg.do.txt b/doc/src/LogisticRegression/LogReg.do.txt index ed9edf955..b5531c3eb 100644 --- a/doc/src/LogisticRegression/LogReg.do.txt +++ b/doc/src/LogisticRegression/LogReg.do.txt @@ -61,7 +61,12 @@ made of $n$ samples, each of which carries $p$ features or predictors. The primary goal is to identify the classes to which new unseen samples belong. -Let us specialize to the case of two classes only, with outputs $y_i=0$ and $y_i=1$. Our outcomes could represent the status of a credit card user who could default or not on her/his credit card debt. That is +Let us specialize to the case of two classes only, with outputs +$y_i=0$ and $y_i=1$. Our outcomes could represent the status of a +credit card user that could default or not on her/his credit card +debt. That is + + !bt \[ y_i = \begin{bmatrix} 0 & \mathrm{no}\\ 1 & \mathrm{yes} \end{bmatrix}.