dentify the model evaluation technique: Ensures that each class is represented with approximately equal proportions in both subsets Reserves a certain amount for testing and uses the remainder for training Split data into k > 0 disjoint subsets of equal size and then use each subset in turn for testing, the remainder for training a Holdout b Stratification c Bootstrapping
dentify the model evaluation technique: Ensures that each class is represented with approximately equal proportions in both subsets Reserves a certain amount for testing and uses the remainder for training Split data into k > 0 disjoint subsets of equal size and then use each subset in turn for testing, the remainder for training a Holdout b Stratification c Bootstrapping
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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Question
Identify the model evaluation technique:
- Ensures that each class is represented with approximately equal proportions in both subsets
- Reserves a certain amount for testing and uses the remainder for training
- Split data into k > 0 disjoint subsets of equal size and then use each subset in turn for testing, the remainder for training
a Holdout b Stratification c Bootstrapping
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a Stratification b Holdout c Bootstrapping
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a Bootstrapping b Holdout c Stratification |
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