Building a RapidMiner Process with Linear Regression Model

This post shows how to construct a simple predictive learning process in RapidMiner Studio by using the linear regression model to predict a continuous value.

Simple linear regression is explained at the post Linear Regression Analysis.

What is predictive learning? Read the post [Predictive Learning from an Operational Perspective]({{ref “2017-02-10-predictive-learning.md” >}})

Linear regression model explains the relationship between a quantitative label and one or more predictors(regular attributes) by fitting a linear equation to observed objects (with labels). The developed linear model will predict the label for unlabeled objects.

Launch RapidMiner Studio. Start a new process.

1y = 2 + 3x + (random Gaussian noise with sd=20)