1. Which of the following are true as it applies to Naïve Bayes Incorporate the

ID: 3577608 • Letter: 1

Question

1. Which of the following are true as it applies to Naïve Bayes

Incorporate the Concept of conditional probability

Named after the Reverend Thomas Bayes

Can only be used with Categorical Variables

Data-driven not model driven

None of the above

2. Which of the following characterize Classification and Regression Tree

Considered highly transparent, easy to interpret

Can be used for either Classification or Prediction

Model-Driven (requires the assumptions of statistical models)

Computationally cheap even on large samples

All of the above

Reference the Decile-wise lift chart above. Interpret the meaning of the first two bars from the left

3.Oversampling Is used when the event of interest is rare

True

False

4. Define and Explain the following terms, as they apply to variable selection.

PCA:

Multicollinearity:

Parsimony:

1 - the points which are ture for navie bayes are

it Incorporates the Concept of conditional probability

Named after the Reverend Thomas Bayes

Data-driven not model driven

2- the points true about Classification and Regression Tree are

Considered highly transparent, easy to interpret

can be used for either classification or prediction

Model-Driven

computationally cheap even on large samples

3- its true oversamplling is used when event of interest is rare .

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.