In the classification method,when data are partitioned into the training and testing subsets:
A) the data are divided evenly into the subsets.
B) the values of the dependent variable are known for both the training and the testing subsets.
C) the records in the subsets are chosen based on similar characteristics.
D) all of the above.

Question

In the classification method,when data are partitioned into the training and testing subsets:
A) the data are divided evenly into the subsets. 
B) the values of the dependent variable are known for both the training and the testing subsets. 
C) the records in the subsets are chosen based on similar characteristics. 
D) all of the above.

Quizplus · Accepted Answer

In classification, data is partitioned into training and testing subsets. The purpose of this is to train the model on the training subset and then test its accuracy on the testing subset. It is important that the values of the dependent variable are known for both the training and testing subsets to evaluate the accuracy of the model. The data may not be divided evenly, and records in the subsets may not be chosen based on similar characteristics. Therefore, option B is the best choice as it is the most important requirement for the partitioning of data in the classification method.

In the Classification Method,when Data Are Partitioned into the Training