The first part of the demo output shows how a linear regression model is created and trained: Creating and training model Setting SGD lrnRate = 0.001 Setting SGD maxEpochs = 200 epoch = 0 MSE = 0.1095 ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Peter McCullagh, Regression Models for Ordinal Data, Journal of the Royal Statistical Society. Series B (Methodological), Vol. 42, No. 2 (1980), pp. 109-142 ...

There are 200 training items and 40 test items. The demo creates and trains a linear regression with two-way interactions model, evaluates the model accuracy on the training and test data, and then ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...