what is the consistency and difference in the decision trees what is the goal of a decision tree? what is the difference between a decision trees and cross validation? what is a decision tree used for detecting the consistency of a dataset if each fold yields a totally different decision tree why do you have different decision trees across the dataset why do you test multiple decision trees on each dataset what is consistent pattern analysis? what is the difference? what is the purpose of the cross validation of the classification tree does the decision tree give a consistent pattern? when is the decision tree used in training what is the purpose of cross-validation why do we do decision trees cross validation what is the purpose of the k-fold what is the purpose of a cross validate? what is the goal of k-fold cross validity what is consistent pattern in dataset can a decision tree detect a consistent pattern across a data set how is consistency tested in classification