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1 - Number of nearest neighbors to the new data point considered to decide the class of thenew data point2 - Number of nearest neighbors to the new data point, majority class out of which is assignedto the new data point, based on simple 'voting'Question No: 4Correct AnswerOnly 1Only 2Both 1 & 2You SelectedNone of the aboveOnly 1Only 2Both 1 & 2You SelectedNone of the above
6/6/2020Quiz 3: Predictive Modeling and Analytics - Great Learning3/6Question No: 4Correct AnswerMarks: 1/1Which one of the following is not true about KNN?The KNN algorithm doesn't work well with high dimensional data because, with a largenumber of dimensions, it becomes difficult for the algorithm to calculate the distance ineach dimensionQuestion No: 5Correct AnswerMarks: 1/1Discriminant Analysis uses Bayes Theorem.Question No: 6Correct AnswerMarks: 1/1Naive Bayes can only be used for Binary classificationNaive Bayes can be used for Binary and Multiclass classification. It provides different typesof Naive Bayes Algorithms like GaussianNB, MultinomialNB, BernoulliNB