APPLICATION OF SUPERVISED LEARNING
CLASSIFICATION IN MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of this is the laziest technique of learning?
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k-nearest neighbour
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k-means
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k-fold
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k-19
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Explanation:
Detailed explanation-1: -The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point.
Detailed explanation-2: -Step-1: Select the number K of the neighbors. Step-2: Calculate the Euclidean distance of K number of neighbors. Step-3: Take the K nearest neighbors as per the calculated Euclidean distance. Step-4: Among these k neighbors, count the number of the data points in each category. More items
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