Train a linear SVM and a polynomial SVM or an RBF Kernel for the Iris dataset (train atleast 2 models). Use a train-test 80% to 20% balanced split (include the train and test sets you created with your submission), specify any parameter settings used, include your choice and rationale for it. Compare the performance of the models you trained and discuss the reasons.
Train a linear SVM and a polynomial SVM or an RBF Kernel for the Iris dataset (train atleast 2 models). Use a train-test 80% to 20% balanced split (include the train and test sets you created with your submission), specify any parameter settings used, include your choice and rationale for it. Compare the performance of the models you trained and discuss the reasons.
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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Train a linear SVM and a polynomial SVM or an RBF Kernel for the Iris dataset (train atleast 2 models). Use a train-test 80% to 20% balanced split (include the train and test sets
you created with your submission), specify any parameter settings used, include your
choice and rationale for it. Compare the performance of the models you trained and
discuss the reasons.
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