7. (Random Questions) Answer each o f the following questions in at most two brief sentences. (a) Why do we expect predictive models with less features to be more generalizable? (b) In training a classifier, after we divide the samples into a training set and a test set, we often further divide the training set into a training set used for model building and a validation set. What purpose does the validation set serve? (c) Assume that we have 100 samples and we are using 5-fold cross validation. How many different models will be built? How many training samples will be used to train each model?

7. (Random Questions) Answer each o f the following questions in at most two brief sentences. (a) Why do we expect predictive models with less features to be more generalizable? (b) In training a classifier, after we divide the samples into a training set and a test set, we often further divide the training set into a training set used for model building and a validation set. What purpose does the validation set serve? (c) Assume that we have 100 samples and we are using 5-fold cross validation. How many different models will be built? How many training samples will be used to train each 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

Section: Chapter Questions

Problem 1PE

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