1 Number of nearest neighbors to the new data point considered to decide the

1 number of nearest neighbors to the new data point

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1 - Number of nearest neighbors to the new data point considered to decide the class of the new data point 2 - Number of nearest neighbors to the new data point, majority class out of which is assigned to the new data point, based on simple 'voting' Question No: 4 Correct Answer Only 1 Only 2 Both 1 & 2 You Selected None of the above Only 1 Only 2 Both 1 & 2 You Selected None of the above
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6/6/2020 Quiz 3: Predictive Modeling and Analytics - Great Learning 3/6 Question No: 4 Correct Answer Marks: 1/1 Which one of the following is not true about KNN? The KNN algorithm doesn't work well with high dimensional data because, with a large number of dimensions, it becomes difficult for the algorithm to calculate the distance in each dimension Question No: 5 Correct Answer Marks: 1/1 Discriminant Analysis uses Bayes Theorem. Question No: 6 Correct Answer Marks: 1/1 Naive Bayes can only be used for Binary classification Naive Bayes can be used for Binary and Multiclass classification. It provides different types of Naive Bayes Algorithms like GaussianNB, MultinomialNB, BernoulliNB
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  • Winter '16
  • Archana Chauhan
  • Machine Learning, following statement, Statistical classification

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