1 number of nearest neighbors to the new data point

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

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