Unit2

Bayes rule can be used for:-

• (A) Solving queries
• (B) Increasing complexity
• (C) Answering probabilistic query
• (D) Decreasing complexity

Which of the following is correct about the Naive Bayes?

• (A) Assumes that all the features in a dataset are independent
• (B) Assumes that all the features in a dataset are equally important
• (C) Both
• (D) All of the above

_________ the target variable can have three or more possible values without any order.

• A. Multinomial Logistic Regression
• B. Binary Logistic Regression
• C. Ordinal Logistic Regression
• D. All of the above

Which of the following are advantages of the logistic regression?

• A. Logistic Regression is very easy to understand
• B. It requires less training
• C. It performs well for simple datasets as well as when the data set is linearly separable
• D. All of the above

0 and 1, or pass and fail or true and false is an example of?

• A. Multinomial Logistic Regression
• B. Binary Logistic Regression
• C. Ordinal Logistic Regression
• D. None of the above

Can we solve the multiclass classification problems using Logistic Regression?

• A. Yes
• B. No
• C. Can be yes or no
• D. Can not say

The effectiveness of an SVM depends upon _____________.

• A) Selection of Kernel trick
• B) Kernel Parameters
• C) Soft Margin Parameter C
• D) All of the above

Support vectors are the data points that lie closest to the decision surface.

• A) TRUE
• B) FALSE

The SVM’s are less effective when:

• A) The data is linearly separable
• B) The data is clean and ready to use
• C) The data is noisy and contains overlapping points

SVM is classified into how many types?

• a. One
• b. Two
• c. Three
• d. Four