Fit a depth-1 tree and return [train, test] accuracy, rounded to 4 places

Machine Learning · from Overfitting and underfitting

bias-variancevalidation_curvelearning_curvemax_depthtrain vs test gap

Putting the kettle on…

Starting up…

Exercise 1

Fit a depth-1 tree and return [train, test] accuracy, rounded to 4 places. Both numbers should land on the dummy's score — that's what underfitting looks like.

your answer
stuck? the lesson behind it
Overfitting and underfitting
Two failures that look identical from a bad score, with opposite cures