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
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The image presents a multiple-choice question about overfitting in machine learning:

**Question:**
"Which of the following are true about overfitting?"

**Options:**
1. Having a high training and testing error is a good indicator of overfitting.
2. Regularizing helps reduce overfitting.
3. Having a low training error and high testing error is a good indicator of overfitting.
4. Overfitting is due to fitting to the noise of the data.
5. Overfitting can arise due to having too many degrees of freedom.
6. Having too simple of a model causes overfitting.

Each option is preceded by a checkbox for selection.
Transcribed Image Text:The image presents a multiple-choice question about overfitting in machine learning: **Question:** "Which of the following are true about overfitting?" **Options:** 1. Having a high training and testing error is a good indicator of overfitting. 2. Regularizing helps reduce overfitting. 3. Having a low training error and high testing error is a good indicator of overfitting. 4. Overfitting is due to fitting to the noise of the data. 5. Overfitting can arise due to having too many degrees of freedom. 6. Having too simple of a model causes overfitting. Each option is preceded by a checkbox for selection.
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