QUESTION 1

Linear regression classification model such as Logistic Regression, a hyperplane is used for representing a decision boundary.

True

False

QUESTION 2

Parametric models do not require the specification of some parameters before they can be used to make predictions.

True

False

QUESTION 3

Parametric models such as Linear SVM and Decision Trees are affected by training instances in the dataset.

True

False

QUESTION 4

A 3D- hyperplane for SVM decision boundary refers to 3 features in the training dataset.

True

False

QUESTION 5

SVM is resistant to overfitting because it relies on the support vectors which are selective points from your training examples to determine the direction and the distance of the decision boundary.

True

False