What is the decision boundary? (Check all that apply.) SelectAll: Where you choose the ML algorithm's input parameter values None of the others | The coefficients learned by the ML algorithm The boundary where instances switch from one classification to another Immediately before machine intelligence surpasses human intelligence The hyperplane between training, tuning and test data Where you choose the ML algorithm

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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What is the decision boundary? (Check all that apply.)
SelectAll:
Where you choose the ML algorithm's input parameter values
None of the others
The coefficients learned by the ML algorithm
The boundary where instances switch from one classification to
another
Immediately before machine intelligence surpasses human
intelligence
The hyperplane between training, tuning and test data
Where you choose the ML algorithm
Transcribed Image Text:What is the decision boundary? (Check all that apply.) SelectAll: Where you choose the ML algorithm's input parameter values None of the others The coefficients learned by the ML algorithm The boundary where instances switch from one classification to another Immediately before machine intelligence surpasses human intelligence The hyperplane between training, tuning and test data Where you choose the ML algorithm
Given a training dataset, does the Perceptron learn a locally optimal
error and the best decision boundary, or does it stop improving as
soon as it finds a hyperplane that separates the classes?
A near optimal boundary, None of the others.
Best boundary
First separating hyperplane
O A near optimal boundary
Transcribed Image Text:Given a training dataset, does the Perceptron learn a locally optimal error and the best decision boundary, or does it stop improving as soon as it finds a hyperplane that separates the classes? A near optimal boundary, None of the others. Best boundary First separating hyperplane O A near optimal boundary
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