Split the MR_X and MR y into training set and test set. You should use the num_training variable to extract the data from MR_X and MR_y. Extract the first 'num_training' samples as training data, and extract the rest as test data. Name them as: MR_train_X and MR train_y for the training set MR_test_X and MR_test_y for the test set

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Split the MR_X and MR_y into training set and test set. You should use the num training variable to extract the data from MR_X and MR_y.
Extract the first 'num_training' samples as training data, and extract the rest as test data.
Name them as:
MR_train_X and MR_train_y for the training set
MR_test_X and MR_test_y for the test set
Transcribed Image Text:Split the MR_X and MR_y into training set and test set. You should use the num training variable to extract the data from MR_X and MR_y. Extract the first 'num_training' samples as training data, and extract the rest as test data. Name them as: MR_train_X and MR_train_y for the training set MR_test_X and MR_test_y for the test set
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