Python Data Analysis Cookbook

Comparing with a dummy regressor

The scikit-learn DummyRegressor class implements several strategies for random guessing, which can serve as baseline for regressors. The strategies are as follows:

• mean: This predicts the mean of the training set.
• median: This predicts the median of the training set.
• quantile: This predicts a specified quantile of the training set when provided with the quantile parameter. We will apply this strategy by specifying the first and third quartile.
• constant: This predicts a constant value that is provided by the user.

We will compare the dummy regressors with the regressors from Chapter 9, Ensemble Learning and Dimensionality Reduction, using R-squared, MSE, MedAE, and MPE.

How to do it...

1. The imports are as follows:

   import ...