Assume that we are applying stacking training mechanism to train a series of models. Suppose we have 3 base classifiers, and 1 meta classifier. We decide to use 5-fold separation on the training set for base classifiers training.

1). Calculate the total number of classifiers trained in this stacking setting. You need to show your steps.

2). Calculate the number of times that an instance in the training set is processed as a training instance by all the classifiers. If an instance is processed by one classifier multiple times (e.g., multiple epochs while training the classifier), count it as one time. You need to show your steps.

3). Calculate the number of times an instance in the training set is processed to generate predictions by all the classifiers. You need to show your steps.

Answer rating: 100% (QA)

1 ANS WER There are 3 base class ifiers and 1 meta class ifier Each base class ifier is trained on 5 ... View the full answer