APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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How to choose the value of K in KNN?
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Take the square root of the total data point available in the dataset.
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Take the mean of the total data point available in the dataset.
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Take the variance of the total data point available in the dataset.
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Take the standard deviation of the total data point available in the dataset.
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Explanation:
Detailed explanation-1: -The value of k in the KNN algorithm is related to the error rate of the model. A small value of k could lead to overfitting as well as a big value of k can lead to underfitting. Overfitting imply that the model is well on the training data but has poor performance when new data is coming.
Detailed explanation-2: -Calculate the distance between test data and each row of training dataset. Sort the calculated distances in ascending order based on distance values. Get top k rows from the sorted array. Get the most frequent class of these rows. Return the predicted class. 26-Mar-2018
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