Describe the role of the simple split in estimating the accuracy ...

[jon_i]

Describe the role of the simple split in estimating the accuracy of classification models.
 
  What will be an ideal response?

Question 2

What would explain why a divorce attorney in New York City may not be considered an expert in Beijing, China?
 
  A) You need a greater level of experience in Beijing to practice law.
  B) No criteria to evaluate divorce attorneys exist in Beijing.
  C) The divorce attorney in New York does not speak Mandarin.
  D) Expertise is frequently domain dependent.

[af]

Answer to Question 1

The simple split (or holdout or test sample estimation) partitions the data into two mutually exclusive subsets called a training set and a test set (or holdout set). It is common to designate two-thirds of the data as the training set and the remaining one-third as the test set. The training set is used by the inducer (model builder), and the built classifier is then tested on the test set. An exception to this rule occurs when the classifier is an artificial neural network. In this case, the data is partitioned into three mutually exclusive subsets: training, validation, and testing.

Answer to Question 2

D