APPLICATION OF SUPERVISED LEARNING
SUPPORT VECTOR MACHINE SVM
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Consider these are the output values (event happened) { 10, 20, 35, 45} . the Prediction Line is 10 and maximal margin is +5 and-5. Apply the SVM regression method to find the largest error rate.
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5
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30
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15
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25
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Explanation:
Detailed explanation-1: -Nonetheless, if you set C=0, then SVM will ignore the errors, and just try to minimise the sum of squares of the weights(w), perhaps you may get different results on the test set.
Detailed explanation-2: -Explanation: Support vector machines is a supervised machine learning algorithm which works both on classification and regression problems. It tries to classify data by finding a hyperplane that maximizes the margin between the classes in the training data. Hence, SVM is an example of a large margin classifier.
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