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"

  • Total Questions15

  • Time Allowed20

Computer Science Ics Part 1 Chapter 5 Online Test

00:00
Question # 1

A standard deviation of 0 indicates.

Question # 2

Which model uses a decision threshold.

Question # 3

What technique estimats missing values using average.

Question # 4

Which of the first step in data analytics

Question # 5

Which model predicts categorical outcomes.

Question # 6

Which method  is best for understanding customer preferecnes.

Question # 7

High Variance means.

Question # 8

Which clustering method requires choosing the number of grops beforehand.

Question # 9

What is data analystics

Question # 10

Which measure indicates the "average" value in a dataset.

Question # 11

What is the output of logistic regression .

Question # 12

Data cleaning involves

Question # 13

In probability , what is the total numebr of outcomes called.

Question # 14

Which step tests how well the model performs.

Question # 15

The meaning of the slope in a linear regression model 

Prepare Complete Set Wise Chapter 5 "Computer Science Ics Part 1 Chapter 5 Online Test" MCQs Online With Answers


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5th Chapter

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 the probability of gatting heads in a fair coin toss.

A.

0.5

B.

0.25

C.

0.75

D.

1

2

What is the output of logistic regression .

A.

Binary outcome 0 or 1

B.

Continous value

C.

Time Series

D.

Cluster

3

What is the middle value hen data is arrranged in order

A.

Mean

B.

Mode

C.

Median

D.

Standard Deviation

4

When is data removal acceptable

A.

When many rows are missing

B.

When only a few rows are missing 

C.

Always

D.

Never

5

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

A.

Mean

B.

variance

C.

Mode

D.

Median

6

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

A.

Numebr of features in the dataset

B.

Nuebr of clusters to be formed

C.

Number of iteration requiredfor converagence

D.

Number of data points in the datset

7

What is the square root of varieance

A.

Mean

B.

Standard deviation

C.

Median

D.

Mode

8

Which model uses a decision threshold.

A.

Linear regression

B.

Logistic regression

C.

K means clustering 

D.

pca

9

What is clustering used for.

A.

Making predictions

B.

Grouping similar items

C.

Calculating probabilities

D.

Finding averages

10

Which clustering method requires choosing the number of grops beforehand.

A.

Hierachical clustering

B.

Dbscan

C.

k- means clustering

D.

gaussian mixture model

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  • Farooq Ahmad

    Farooq Ahmad

    07 Mar 2018

    i am best

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