Chapter 6

Chapter 6

University

20 Qs

quiz-placeholder

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Chapter 6

Chapter 6

Assessment

Quiz

Computers

University

Practice Problem

Hard

Created by

Aiman Dolah

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20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why do we use evaluation metrics in machine learning?

To train the model faster

To measure the performance of a model

To add more data

To visualize the dataset

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an evaluation metric for classification problems?

MSE (Mean Squared Error)

Accuracy

MAE (Mean Absolute Error)

RMSE (Root Mean Squared Error)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a confusion matrix show?

Model weights

Training speed

Actual vs predicted values

Feature importance

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a true positive (TP) in a confusion matrix?

A positive class correctly predicted as positive

A negative class correctly predicted as negative

A positive class predicted as negative

A negative class predicted as positive

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is calculated as the number of correct predictions divided by the total number of predictions?

Precision

Recall

F1 Score

Accuracy

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is precision?

The proportion of predicted positives that are actually positive

The proportion of actual positives that are predicted positive

The total number of correct predictions

The number of false positives

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is recall?

The number of false negatives

The proportion of actual positives that are predicted positive

The number of true negatives

The proportion of predicted positives that are actually positive

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