Short questions. Please choose the right choices for each question. There may be more than one correct choice. 1. A machine learning model usually has a few hyper-parameters to tune. Which of the two following settings are good for choosing hyper-parameters that can generalize well to new data: (a) Choose hyperparameters that work best on the all data (b) Choose hyperparameters that work best on the training set (c) Choose hyperparameters that work best on the validation set (d) Choose hyperparameters by performing k-fold cross-validation.

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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Short questions. Please choose the right choices for each question. There
may be more than one correct choice.
1. A machine learning model usually has a few hyper-parameters to tune. Which of the
two following settings are good for choosing hyper-parameters that can generalize
well to new data:
(a) Choose hyperparameters that work best on the all data
(b) Choose hyperparameters that work best on the training set
(c) Choose hyperparameters that work best on the validation set
(d) Choose hyperparameters by performing k-fold cross-validation.
Transcribed Image Text:Short questions. Please choose the right choices for each question. There may be more than one correct choice. 1. A machine learning model usually has a few hyper-parameters to tune. Which of the two following settings are good for choosing hyper-parameters that can generalize well to new data: (a) Choose hyperparameters that work best on the all data (b) Choose hyperparameters that work best on the training set (c) Choose hyperparameters that work best on the validation set (d) Choose hyperparameters by performing k-fold cross-validation.
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