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Training Q13

Authored by AI 2023

Computers

University

Used 3+ times

Training Q13
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10 questions

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1.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Predicting the amount of rainfall in a region based on various cues is a ______ problem.

Supervised learning

Unsupervised learning

Clustering

None

2.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

A and B are two events. If P(A, B) decreases while P(A) increases, which of the following is true?

P(A|B) decreases

P(B|A) decreases

P(B) decreases

All

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following is NOT supervised learning?

PCA

Decision Tree

Linear Regression

Naive Bayesian

4.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which of the following statements about Naive Bayes is incorrect?

Attributes are equally important.

Attributes are statistically dependent of one another given the class value.

Attributes are statistically independent of one another given the class value.

Attributes can be nominal or numeric

5.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

As the number of training examples goes to infinity, your model trained on that data will have:

Lower variance

Higher variance

Same variance

None

6.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Given two Boolean random variables, A and B, where P(A) = ½, P(B) = 1/3, and P(A | ¬B) = ¼, what is P(A | B)?

1/6

1/4

3/4

1

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

 ___________ refers to a model that can neither model the training data nor generalize to new data.

good fitting

overfitting

underfitting

All

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