Return the 5-fold AUC for HistGradientBoostingClassifier(random_state=0), round…

Machine Learning · from Forests and boosting

RandomForestClassifierHistGradientBoostingClassifierbaggingboostingn_estimatorslearning_rate

Putting the kettle on…

Starting up…

Exercise 2

Return the 5-fold AUC for HistGradientBoostingClassifier(random_state=0), rounded to 4 places — and note it needs no imputer, because it handles NaN itself.

your answer
stuck? the lesson behind it
Forests and boosting
Average many noisy trees, or stack many shallow ones — and still lose to logistic regression