7.) How many models are created in 5-fold cross validation, and how are the different scores reported? 1 model is created. The 5 reported scores are for the one model trained on the same portion of the data and tested on 5 different partitions of the data provided. 25 different models are created. Each set of 5 generates a different (averaged) scores. 5 different models are created. Each model is scored independently of other models. Each model trains on 4/5ths of the data provided and is scored on the remaining 1/5th.
7.) How many models are created in 5-fold cross validation, and how are the different scores reported? 1 model is created. The 5 reported scores are for the one model trained on the same portion of the data and tested on 5 different partitions of the data provided. 25 different models are created. Each set of 5 generates a different (averaged) scores. 5 different models are created. Each model is scored independently of other models. Each model trains on 4/5ths of the data provided and is scored on the remaining 1/5th.
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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Transcribed Image Text:7.) How many models are created in 5-fold cross validation, and how are the different scores
reported?
1 model is created. The 5 reported scores are for the one model trained on the same
portion of the data and tested on 5 different partitions of the data provided.
25 different models are created. Each set of 5 generates a different (averaged) scores.
5 different models are created. Each model is scored independently of other models.
Each model trains on 4/5ths of the data provided and is scored on the remaining 1/5th.
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