Logistic regression

Logistic Regression Matlab Code

logistic regression, or logit regression, is a type of probabilistic statistical classification model. It is also used to predict a binary response from a binary predictor, used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor variables (features).

The following matlab project contains the source code and matlab examples used for logistic regression.

Fitting with matlab statistics, optimization, and curve fitting

The following Matlab project contains the source code and Matlab examples used for fitting with matlab statistics, optimization, and curve fitting. Censoring / clipping example Outlier detection example Orthogonal regression example GLM (Poisson regression / logistic regression) example Robust regression example Feature selection example Common slope problem example

Logistic regression with regularization used to classify hand written digits in matlab

The following Matlab project contains the source code and Matlab examples used for logistic regression with regularization used to classify hand written digits. This program uses Logistic regression with regularization to classify handwritten digits. The data is comprised of a part of the MNIST dataset. 5000 examples are used.
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