Homework: Evaluation

Watch this video:

• Classification evaluation pseudocode Links to an external site.

Complete our implementation from class of the BinaryClassificationEvaluation and RegressionEvaluation classes (here's the code Links to an external site.; NOTE: I've changed main in kNN to support evaluation). To test your implementation, try the following:

• use the iris training and dev datasets to classify using kNN with k = 3 and 5; how do the two models compare with respect to accuracy and F1?
• use the housing training and dev datasets to perform regression using kNN with k = 3 and 5; how do the two models compare with respect to RMSE?

Be prepared to answer these two questions at the beginning of class on Monday.

Upload your two completed java files.