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.
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Created with KNIME Analytics Platform version 4.5.1
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