5. In this problem, you are asked to calculate the precision-recall and AUC for given dataset. 5.1 Generate synthetic data by make_classificationinsklearn.datasetsas , set the number of sample as 500, number of classes as 2 and use random seed 2021 5.2 Split the generated data to training dataset and testing dataset by train_test_split(), let the test dataset be 20% of the total dataset, set the random seed to be 2021 5.3 Fit logistic regression on the training dataset, and plot the precision-recall curve on testing dataset 5.4 Fit logistic regression on the training dataset, and plot the AUC curve on testing dataset Subject: Python Programming
5. In this problem, you are asked to calculate the precision-recall and AUC for given dataset. 5.1 Generate synthetic data by make_classificationinsklearn.datasetsas , set the number of sample as 500, number of classes as 2 and use random seed 2021 5.2 Split the generated data to training dataset and testing dataset by train_test_split(), let the test dataset be 20% of the total dataset, set the random seed to be 2021 5.3 Fit logistic regression on the training dataset, and plot the precision-recall curve on testing dataset 5.4 Fit logistic regression on the training dataset, and plot the AUC curve on testing dataset Subject: Python Programming
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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5. In this problem, you are asked to calculate the precision-recall and AUC for given dataset.
5.1 Generate synthetic data by make_classificationinsklearn.datasetsas , set the number of sample as 500, number of classes as 2 and use random seed 2021
5.2 Split the generated data to training dataset and testing dataset by train_test_split(), let the test dataset be 20% of the total dataset, set the random seed to be 2021
5.3 Fit logistic regression on the training dataset, and plot the precision-recall curve on testing dataset
5.4 Fit logistic regression on the training dataset, and plot the AUC curve on testing dataset
Subject: Python
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