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AI900-03

Authored by Kevin Gilbert

Computers

Professional Development

Used 2+ times

AI900-03
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40 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Linear Regression matches the data on a graph to the

trend line
x-axis
y-axis
plot points

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to have your data be clustered into common characteristics. What would you use

unsupervised
supervised

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to have your data be categorized acording to labels. What would you use?

supervised
unsupervised

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The Nieve Bayesian Algorthm assumes all the predictors are __

dependent on each other
independent of each other

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You have five predictors, but one of the predictors is the most important in determining the result. What should you use?

Weighted Multiplier
Trend LIne
Plot Points

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is K-nearest neighbor also called lazy learning

it uses a lot of computation for every instance
It accumulates knowledge very slowly
It borrows ideas from several other models
It is very computationally efficient

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What should you do if your decision tree has too much entropy?

Add or substitute predictors
add more outcomes
choose a different root
Delete the leaves

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