What does a large value for the degree parameter mean in an SVM model?          -Considers a larger number of nearest neighbors.          -Improves the Area Under the Curve (AUC)          -Increases steepness of sigmoid curve.          -Inflexible decision boundary, increased likelihood of misclassification.          -Highly flexible the decision boundary, may have higher risk of overfitting.

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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What does a large value for the degree parameter mean in an SVM model?

        
-Considers a larger number of nearest neighbors.

        
-Improves the Area Under the Curve (AUC)

        
-Increases steepness of sigmoid curve.

        
-Inflexible decision boundary, increased likelihood of misclassification.

        
-Highly flexible the decision boundary, may have higher risk of overfitting.

 

select the correct options brom the above

 

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