Linear Regression Example - Ames Housing Data

A linear regression model is trained to predict prices of houses in Ames, Iowa, USA. A number of numerical features are included as predictors

First we examine the data set. Then a linear regression model is trained. The trained model is used on a testing data to evaluate the performance of the model.

External resources

• Slides (Introduction to ML Algorithm course)
• The Learner-Predictor construct in KNIME