What is the general logic behind CART in supervised machine learning? Group of answer choices BUILD and EXTEND GROW and PRUNE SPLIT and MERGE CUT and REMOVE
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Step 1: Understand that CART stands for Classification and Regression Trees, which is a method used in supervised machine learning for both classification and regression tasks. Show more…
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(a) Sketch the tree corresponding to the CART partition given below. The word in each box indicates the class label for that region. (b) Create a diagram similar to that given in part (a) using the CART tree below. Indicate the class label in each region of the partitioned feature space. (c) The predictive performance of a single tree can be substantially improved by aggregating many decision trees. i. Briefly explain the random forest method for classification. ii. Should pruned or un-pruned trees be used in random forests? Explain. iii. Briefly explain the of out-of-bag error rate for random forests. (d) Briefly explain how K-fold cross-validation can be used to approximate a testing error rate. Describe one advantage of cross-validation over the validation set approach.
Adi S.
a) A pure subset contains leaf nodes where cases have contradicting values to the target variable, to enhance the variable case outcomes and allow for further splits. True or False b) The best-pruned tree is the smallest set, least complex tree, with the smallest validation error. True or False c) Small changes in the training set, while using the CART algorithm, will result in drastically different trees. True or False
Derrick D.
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