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ISYE 6501 Final 2023 100% CORRECT
ISYE 6501 Final 2023 100% CORRECT Support Vector Machine - CORRECT ANSWER-A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of sa...
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ISYE 6501 Final 2023 100% CORRECT Support Vector Machine - CORRECT ANSWER-A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of sa...