Code-optional Linear Regression with Altair RapidMiner

Linear regression is a primary statistical technique designed to model the linear relationship between a dependent variable and a set of input predictors, drivers, or independent variables. The Dependent Variable should be a scale or continuous variable while the inputs, although traditionally and preferably continuous, can be either categorical or continuous. Regression modeling provides a means of assessing not only the extent to which the outcome of the Dependent Variable can be determined but also the effect of each predictor on that outcome. RapidMiner provides a range of tools for estimating linear models. This study describes how to use and understand key concepts in relation to finding the best-fitted model by using RapidMiner.

Presented by Prof. Athanasios G Anastasiou I University of Peloponnese at, Altair Data Science Day 2023. 15 Minutes.