Select one or more: a. We would like to test whether our code work b. We try to avoid a data leakage by using testing data to find a good set of hyper-parameters. c. We would like to get performances from different models (trained from different dataset) to "mitigate" luck. d. We would like to train multiple models and use all of them to make a final model.

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
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Select one or more:
a. We would like to test whether our code work
b. We try to avoid a data leakage by using testing data to find a good set of hyper-parameters.
c. We would like to get performances from different models (trained from different dataset) to "mitigate" luck.
d. We would like to train multiple models and use all of them to make a final model.
In the machine learning process, we learned in the class. We have a cross-validation step. What are the
main purposes?
Dataset
Testing Set
Performance
Evaluation
Comparison
Training Set
Model
Training
Cross Validation
hyper
(model selection)
parameters
Transcribed Image Text:In the machine learning process, we learned in the class. We have a cross-validation step. What are the main purposes? Dataset Testing Set Performance Evaluation Comparison Training Set Model Training Cross Validation hyper (model selection) parameters
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