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Lesson 7 -Supervised Machine Learning

Total questions: 14

Worksheet time: 6mins

Name
Class
Date
1.

Which of these is not a supervised learning algorithm?

a)

Representation Learning

b)

Classification

c)

Regression

2.

Which of these metrics are used to evaluate classification algorithm?

a)

AUC

b)

Precision

c)

Predicted vs True Chart

d)

F1 Score

3.

Logistic regression is ...

a)

Supervised machine learning algorithm

b)

Unsupervised machine learning algorithm

c)

Both

4.

What kind of learning algorithm for "Future stock prices or currency exchange rates"?

a)

Recognizing Anomalies

b)

Prediction

c)

Generating Patterns

d)

Recognition Patterns

5.

From the picture, what kind of programming is it?

a)

Traditional Programming

b)

Modern Programming

c)

Machine Learning

d)

Traditional Learning

6.

From the picture, what kind of programming is it?

a)

Traditional Programming

b)

Machine Learning

c)

Modern Programming

d)

Traditional Learning

7.

What kind of learning algorithm for "Future stock prices or currency exchange rates"?

a)

Recognizing Anomalies

b)

Prediction

c)

Generating Patterns

d)

Recognition Patterns

8.

Fraud Detection, Image Classification, Diagnostic, and Customer Retention are applications in ...

a)

Unsupervised Learning: Clustering

b)

Supervised Learning: Classification

c)

Reinforcement Learning

d)

Unsupervised Learning: Regression

9.

This picture shows a result of ...

a)

Supervised Learning: Classification

b)

Unsupervised Learning: Regression

c)

Unsupervised Learning: Prediction

d)

Supervised Learning: Regression

10.

Indicate which of the following is a quality metric in classification

a)

Veracity

b)

Area Over the ROC Curve (AOC)

c)

Association

d)

Under the ROC Curve (AUC)

11.

A decision tree is a _____ used to help managers make decisions.

a)

scientific model

b)

mathematical model

c)

geographical model

d)

super model

12.

A decision tree uses _________ to calculate likely outcomes.

a)

stakeholder information

b)

facts and statistics

c)

estimates and probabilities

d)

shareholder data

13.

Which of the following is NOT supervised learning?

a)

PCA

b)

Decision Tree

c)

Linear Regression

d)

Random Forest

14.

Which metric is not used for evaluating classification models?

a)

AUC ROC score

b)

Accuracy

c)

Mean absolute error

d)

Precision