Warning: Creating default object from empty value in /home/customer/www/expskill.com/public_html/wp-content/plugins/dw-question-answer/inc/Template.php on line 861
classification-problem Archives

In ensemble learning, you aggregate the predictions for weak learners, so that an ensemble of these models will give a better prediction than prediction of individual models.

In ensemble learning, you aggregate the predictions for weak learners, so that an ensemble of these models will give a better prediction than prediction of individual models.
Which of the following statements is / are true for weak learners used in ensemble model?
They don’t usually overfit.
They have high bias, so they cannot solve complex learning problems
They usually overfit.
A) 1 and 2
B) 1 and 3
C) 2 and 3
D) Only 1
E) Only 2
F) None of the above