First Year Computer Science Chapter 5 Online MCQ Test for 1st Year Computer Science Chapter 5 (Computer Architercture)

ICS Part 1 Computer Science Chapter 5 Test

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ICS Part 1 Computer Science Chapter Wise Test

MCQ's Test For Chapter 5 "Computer Science Ics Part 1 Chapter 5 Online Test"

Try The MCQ's Test For Chapter 5 "Computer Science Ics Part 1 Chapter 5 Online Test"

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Computer Science Ics Part 1 Chapter 5 Online Test

00:00
Question # 1

When is data removal acceptable

Question # 2

Which model predicts categorical outcomes.

Question # 3

What is statistical modeling used for.

Question # 4

Which visualizatio is best for comparing categories.

Question # 5

What does ethics in daa sciecne include.

Question # 6

Which model uses a decision threshold.

Question # 7

Which model predicts continuous numeric value

Question # 8

Watching and recording behavior without interactio is known as.

Question # 9

Which step defines the problem in model building 

Question # 10

Which method involves asking a set of questions to a group

Question # 11

Which measure tells how spread out the data is from the mean.

Question # 12

Which measure shows the mostfrequently occurring value. 

Question # 13

Which loss function is used in linear regression.

Question # 14

The meanign of “K” in K-Means Clustering.

Question # 15

Which chart is used to show distribution of data.

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11th Class ICS Computer Science Chapter 5 MCQ's Test

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ICS Part 1 Computer Science (New Book) Chapter 5 Important MCQ's

Sr.# Question Answer
1

What is data analystics

A.

Collecting data

B.

Analyzing raw data

C.

Deleting data

D.

Storing data

2

A standard deviation of 0 indicates.

A.

Data is highly variable 

B.

Data is normally distributed

C.

All values are teh same

D.

Data is missing

3

Which step tests how well the model performs.

A.

Model development

B.

Model evaluation

C.

Model training

D.

Model deployment

4

Which model predicts continuous numeric value

A.

Logistic regression

B.

Linear regression

C.

k-means clustering

D.

Accuracy

5

Which algorithm is used for predicting numerical values.

A.

Logistic regression 

B.

Linear regression

C.

k-means clustering

6

High Variance means.

A.

Data  points are close to the mean

B.

Data points are far from the mean

C.

All values are teh same

D.

There are missing values

7

What is the first step after collecting data.

A.

Visualization 

B.

Data preparation

C.

Modeling

D.

Presentation

8

Which model predicts categorical outcomes.

A.

Linear regression

B.

Logistic regression

C.

Pca

D.

Arima

9

The meaning of the slope in a linear regression model 

A.

The inercept of the model

B.

The change in the dependent variable for a unti change in the independetn variable

C.

Teh error term

D.

The mean of the data

10

Which measure shows the mostfrequently occurring value. 

A.

Mean

B.

Median

C.

Mode

D.

Variance

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