Now, we'll instead use sklearn 's train_test_split function instead. Store train data into X_train and train labels into Y_train . Similarly, store tes data into X_test and test labels into Y_test. We will use the following arguments for this task: • test_size : 0.2 • random_state : random_state (variable defined at the start) I # YOUR CODE HERE raise NotImplementedError() I assert X_train.shape == (6400, 200e) assert X_test.shape == (1600, 2000) assert Y_train.shape == assert Y_test.shape == (1600, ) (6400, )

Now, we'll instead use sklearn 's train_test_split function instead. Store train data into X_train and train labels into Y_train . Similarly, store tes data into X_test and test labels into Y_test. We will use the following arguments for this task: • test_size : 0.2 • random_state : random_state (variable defined at the start) I # YOUR CODE HERE raise NotImplementedError() I assert X_train.shape == (6400, 200e) assert X_test.shape == (1600, 2000) assert Y_train.shape == assert Y_test.shape == (1600, ) (6400, )

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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