Artificial Intelligence - CSE Things https://csethings.com All about Computer Science and Engineering Fri, 03 Dec 2021 09:34:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.3 https://csethings.com/wp-content/uploads/2021/05/cropped-C__1_-removebg-preview-3-32x32.png Artificial Intelligence - CSE Things https://csethings.com 32 32 Factor Analysis (Artificial Intelligence) https://csethings.com/factor-analysis-mcqs/ https://csethings.com/factor-analysis-mcqs/#comments Thu, 06 May 2021 11:15:12 +0000 https://csethings.com/?p=495 Question 1 : Factor Analysis is What Technique? Options :  a. Dependent b. Interdependent c. Significant d. All the Above Answers :  b. Interdependent Question 2 : In Factor Analysis which factor explains the largest portion of the total variance? Options :  a. First Factor b. Second Factor c. Fourth factor d. All the Above […]

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Question 1 :

Factor Analysis is What Technique?

Options : 

a. Dependent

b. Interdependent

c. Significant

d. All the Above

Answers : 

b. Interdependent

 

Question 2 :

In Factor Analysis which factor explains the largest portion of the total variance?

Options : 

a. First Factor

b. Second Factor

c. Fourth factor

d. All the Above

Answers :

a. First Factor 

 

Question 3 :

Which of the Factor Analysis accounts for the most of the residual variance?

Options : 

a. First Factor

b. Second Factor

c. Fourth factor

d. All the Above

Answers : 

b. Second Factor

 

Question 4 :

Which test is used to examine the hypothesis that the variables are uncorrelated in the population?

Options : 

a. Bartlett’s test

b. Correlation Matrix

c. Communality

d. Factor Matrix

Answers : 

a. Bartlett's test

 

Question 5 :

The diagonal elements, which are all 1, are usually omitted in which method?

Options : 

a. Bartlett’s test

b. Correlation Matrix

c. Communality

d. Factor Matrix

Answers : 

b. Correlation Matrix

 

Question 6 :

Which represents the total variance explained by each factor?

Options : 

a. Factor Loading

b. Eigen Value

c. Communality

d. Factor Matrix

Answers : 

b. Eigen Value

 

Question 7 :

In Barlett test of sphericity Kaiser-Meyer-Olkin measure of sampling adequacy is?

Options : 

a. 0

b. 0.6660

c. 15 

d. 111.34

Answers : 

b. 0.6660

 

Question 8 :

The differences between the observed correlations, as given in the input correlation matrix, and the reproduced Reload correlations, as estimated from the factor matrix ?

Options : 

a. Factor Scores

b. Residuals

c. KMO 

d. Scree Plot

Answers : 

b. Residuals

 

Question 9 :

When the axes are not maintained at right angles, and the factors are correlated ?

Options : 

a. Orthogonal Rotation

b. Oblique Rotation

c. All the above

d. Varimax 

Answers : 

b. Oblique Rotation

 

Question 10 :

When the primary concern is to identify the underlying dimensions and the common variance is of interest ?

Options : 

a. Principal Axis Factor

b. All the above 

c. Principal components

d. Factor Score

Answers : 

a. Principal Axis Factor

 

Question 11 :

Which Process is based on a matrix of correlations between the variables

Options : 

a. Analytical Process

b. Residual Process

C.KMO

d. None of these

Answers : 

a. Analytical Process

 

You may also Visit :

Support Vector Machine MCQ’s

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Random Forest MCQ’s

Naive Bayes MCQ’s

Ancova MCQ’s – Aritificial Intelligence

 

The post Factor Analysis (Artificial Intelligence) appeared first on CSE Things.]]> https://csethings.com/factor-analysis-mcqs/feed/ 4 Latest Support Vector Machine MCQ’s with answers https://csethings.com/support-vector-machine-mcqs/ https://csethings.com/support-vector-machine-mcqs/#comments Thu, 06 May 2021 11:02:52 +0000 https://csethings.com/?p=490 Question 1 : SVM stands for? Options :  a. Simple Vector Machine b. Support Vector Machine c. Super Vector Machine d. All the Above Answers :  b. Support Vector Machine Question 2 : SVM is classified into how many types? Options :  a. One  b. Two c. Three d. Four Answers :  b. Two Question […]

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Question 1 :

SVM stands for?

Options : 

a. Simple Vector Machine

b. Support Vector Machine

c. Super Vector Machine

d. All the Above

Answers : 

b. Support Vector Machine

 

Question 2 :

SVM is classified into how many types?

Options : 

a. One 

b. Two

c. Three

d. Four

Answers : 

b. Two

 

Question 3 :

SVM, which best segregates classes into how many classes?

Options : 

a. One 

b. Two

c. Three

d. Four

Answers : 

b. Two

 

Question 4 :

SVM is a supervised Machine Learning can be used for

Options : 

a. Regression

b. Classification

c. Either a or b

d. None of These

Answers : 

c. Either a or b

 

Question 5 :

Linear separator, Hyper plane

Options : 

a. f(x)=sign(w/x+b)

b. f(x)=sign(w+x+b)

c. f{x)=sign(w.x+b)

d. f(x)=sign(w-x+b)

Answers : 

c. f{x)=sign(w.x+b)

 

Question 6 :

In Hyper plane, f(x)=sign(w*x+b) where ‘w’ is a?

Options : 

a. Constant

b. Vector

c. Distance

d. None of the Above

Answers : 

b. Vector

 

Question 7 :

Closest Point to the hyper plane are support vectors

Options : 

a. True

b. False

c. Unpredictable

d. None of these

Answers : 

a. True

 

Question 8 :

Where p is ?

Options : 

a. Constant

b. Null

c. Margin

d. Hyper plane

Answers : 

c. Margin

 

Question 9 :

By maximizing the distances between nearest data point and
hyper plane will help us to decide the right hyper-plane.

Options : 

a. Margin

b. Mercer’s Theorem

c. Regression

d. None of these

Answers : 

a. Margin

 

Question 10 :

Slack variables ε, can be added to allow misclassification of
difficult or noisy examples, resulting margin is called?

Options : 

a. Soft Margin

b. Null Margin

c. High Margin

d. Low Margin

Answers :

a. Soft Margin 

 

Question 11 :

Every semi-positive definite symmetric function is a kernel

Options : 

a. Mercer’s theorem

b. Bayes Theorem

c. Probabilistic Theorem

d. None of the Above

Answers :

a. Mercer's theorem

You may also Visit :

Factor Analysis MCQ’s

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Naive Bayes MCQ’s

Ancova MCQ’s – Aritificial Intelligence

 

The post Latest Support Vector Machine MCQ’s with answers appeared first on CSE Things.]]> https://csethings.com/support-vector-machine-mcqs/feed/ 2 K-Nearest Neighbours MCQ’s (AI) https://csethings.com/k-nearest-neighbours-mcqs/ https://csethings.com/k-nearest-neighbours-mcqs/#comments Thu, 06 May 2021 10:48:17 +0000 https://csethings.com/?p=483 Question 1 : Time to classify a new example than with a model in Knn requires? Options :  a. Depends on Data * b. More Time c. None of these d. Less time Answers :  b. More Time Question 2 : The Euclidean distance between two a set of numerical attributes is called as? Options […]

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Question 1 :

Time to classify a new example than with a model in Knn requires?

Options : 

a. Depends on Data *

b. More Time

c. None of these

d. Less time

Answers : 

b. More Time

 

Question 2 :

The Euclidean distance between two a set of numerical attributes is called as?

Options : 

a. Closeness 

b. Validation data

c. Error Rate

d. None of these

Answers : 

a. Closeness 

 

Question 3 :

Which is the number of nearby neighbours to be used to classify the new record ?

Options : 

a. KNN

b. Validation data

c. Euclidean Distance

d. All the above

Answers : 

a. KNN

 

Question 4 :

Which capture the local structure in data ?

Options : 

a. Low Value

b. High Value

c. Error Rate

d. All the Above

Answers : 

a. Low Value

 

Question 5 :

Which provide more smoothing, less noise ?

Options : 

a. Low Value

b. High Value

c. Error Rate

d. All the Above

Answers : 

b. High Value

 

Question 6 :

Income, Lot size belongs to?

Options : 

a. Predictor

b. Data

c. Error Rate

d. None of these

Answers : 

a. Predictor

 

Question 7 :

Classification done in Euclidean distance is comparing feature vectors of ?

Options : 

a. Same Point

b. Within Point

c. Different Point

d. Noneof these

Answers : 

c. Different Point

 

Question 8 :

Target function value is represent ?

Options : 

a. Continuous Value

b. Discrete Value

c. Real Value

d. Both b and c

Answers : 

d. Both b and c

 

Question 9 :

Calibration of numeric data in disparate ranges makes

Options : 

a. Reduce Effects

b. Increase Lot Size

c. Reduce Distance

d. All the above

Answers : 

a. Reduce Effects

 

Question 10 :

All training points may influence a particular instance ?

Options : 

a. Sheppard’s Method

b. Skew rule

c. Euclidean Distance

d. None of these

Answers : 

a. Sheppard's Method

 

Question 11 :

Select K Average test Error?

Options : 

a. Minimum

b. Maximum

c. Null

d. None of these

Answers : 

a. Minimum

 

Question 12 :

In Optimal value of ‘k’ training part considered as?

Options : 

a. P

b. P-1

c. 1-p

d. 1

Answers : 

b. P-1

 

You may also Visit :

Factor Analysis MCQ’s

Support Vector Machine MCQ’s

Random Forest MCQ’s

Naive Bayes MCQ’s

Ancova MCQ’s – Aritificial Intelligence

 

The post K-Nearest Neighbours MCQ’s (AI) appeared first on CSE Things.]]> https://csethings.com/k-nearest-neighbours-mcqs/feed/ 2 Random Forest MCQ’s – Artificial Intelligence https://csethings.com/random-forest-mcqs/ https://csethings.com/random-forest-mcqs/#comments Thu, 06 May 2021 10:28:22 +0000 https://csethings.com/?p=478 Question 1 : The major voting process is consider to be? Options :  a. Sampling b. Bagging c. High Variance d. None of these Answer : b. Bagging Question 2 : The target attributes indicates the value of? Options :  a. Leaf Node b. Decision Node c. Path d. Arc/Edge Answer : a. Leaf Node […]

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Question 1 :

The major voting process is consider to be?

Options : 

a. Sampling

b. Bagging

c. High Variance

d. None of these

Answer :

b. Bagging

 

Question 2 :

The target attributes indicates the value of?

Options : 

a. Leaf Node

b. Decision Node

c. Path

d. Arc/Edge

Answer :

a. Leaf Node

 

Question 3 :

Split of one attribute is said to be?

Options : 

a. Leaf Node

b. Decision Node

c. Path

d. Arc/Edge

Answer :

d. Arc/Edge

 

Question 4 :

Increase in Training time will tends to

Options : 

a. Decreased of Size

b. Increased of Size

c. Constant Size

d. None of
the above.

Answer :

b. Increased of Size

 

Question 5 :

For each Split the number of random attributes tested are tends to
be

Options : 

a. Sensitive

b. Insensitive

c. Fairly insensitive

d. None of the above

Answer :

c. Fairly insensitive

 

Question 6 :

Trees generate fast because it have to test?

Options : 

a. No Pruning

b. Fewer Attributes

c. Both a and B

d. Either a or b

Answer :

b. Fewer Attributes

 

Question 7 :

In Random Forest the Memory requirement for the storage
process?

Options : 

a. High Memory

b. Low Memory

c. No Memory

d. None of the
Above

Answer :

a. High Memory

 

Question 8 :

When Increase in the ensemble size will leads to ?

Options : 

a. Low Storage

b. High Error Rate

c. Low Error Rate

d. Less Time

Answer :

c. Low Error Rate

 

Question 9 :

By starting at the root of the tree and moving through it until?

Options : 

a. Leaf Node

b. Decision Node

c. Path

d. Arc/Edge

Answer :

a. Leaf Node

 

Question 10 :

The use of multiple trees to be most effective the trees then it
should be?

Options : 

a. Dependent

b. Independent

c. Constant

d. None of these

Answer :

b. Independent

 

Question 11 :

How Much trees are used for Random Forest ?

Options : 

a. 5 to 10

b. 50 to 100

c. 5 to 100

d. Unpredictable

Answer :

c. 5 to 100

 

Question 12 :

A disjunction of test to make the final decision?

Options : 

a. Leaf Node

b. Decision Node

c. Path

d. Arc/Edge

Answer :

c. Path

 

You may also Visit :

Factor Analysis MCQ’s

Support Vector Machine MCQ’s

K-Nearest Neighbours MCQ’s

Naive Bayes MCQ’s

Ancova MCQ’s – Aritificial Intelligence

 

The post Random Forest MCQ’s – Artificial Intelligence appeared first on CSE Things.]]> https://csethings.com/random-forest-mcqs/feed/ 1 Naive Bayes MCQ’s – Artificial Intelligence https://csethings.com/naive-bayes-mcqs/ https://csethings.com/naive-bayes-mcqs/#comments Thu, 06 May 2021 10:25:02 +0000 https://csethings.com/?p=473 Question 1 : Naive Baye is? Options :  a. Conditional Independence b. Conditional Dependence c. Both a and b d. None of the above Answer : a. Conditional Independence Question 2 : Naive Bayes requires? Options :  a. Categorical Values b. Numerical Values c. Either a or b d. Both a and b Answer : […]

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Question 1 :

Naive Baye is?

Options : 

a. Conditional Independence

b. Conditional Dependence

c. Both a and b

d. None of the above

Answer :

a. Conditional Independence

 

Question 2 :

Naive Bayes requires?

Options : 

a. Categorical Values

b. Numerical Values

c. Either a or b

d. Both a and b

Answer :

a. Categorical Values

Question 3 :

Probabilistic Model of data within each class is?

Options : 

a. Discriminative classification

b. Generative classification

c. Probabilistic classification

d. Both b and c

Answer :

d. Both b and c

 

Question 4 :

A Classification rule is said?

Options : 

a. Discriminative classification

b. Generative classification

c. Probabilistic classification

d. Both a and c

Answer :
d. Both a and c

Question 5 :

Spam Classification is an example for ?

Options : 

a. Naive Bayes

b. Probabilistic condition

c. Random Forest

d. All the
Above

Answer :

a. Naive Bayes

Question 6 :

Time complexity for Naive Bayes classifier for n feature, L classdata
is

Options : 

a. n*L 

b . O(n+L)

c. O(n*L)

 d. O(n/L)

Answer :

c. O(n*L)

Question 7 :

Naive Bayes pays attention to complex interactions and

Options : 

a. Local Structure

b. Statistical Model

c. Both a and b

d. none of
these

Answer :

a. Local Structure

Question 8 :

A list of symptoms, predict whether a patient has diseaseX or not

Options : 

a. Medical Diagnosis

b. Weather Diagnosis

c. Spam Diagnosis

d. All the Above

Answer :

a. Medical Diagnosis

Question 9 :

In Na+ve Bayes Numerical variable must be binned and converted to ?

Options : 

a. Categorical Values

b. Numerical Values

c. Either a or b

d. Both a and b

Answer :

a. Categorical Values

Question 10 :

In Exact Bayes calculation is limited to the two firms matching with
there?

Options : 

a. Diagnosis value

b. Probabilistic condition

c. Characteristics

d. Noneof the above

Answer :

c. Characteristics

Question 11 :

A probabilistic model of data within each class is an example for ?

Options : 

a. Discriminative classification

b. Generative classification

c. Probabilistic classification

d. Both a and c

Answer :

b. Generative classification

Question 12 :

In Naive Bayes the relation between P(Fraud) and P(Truthful) is ?

Options : 

a. Greater than

b. Lesser than

c. Equal to

d. None of these

Answer :

a. Greater than

Question 13 :

There are how many methods to establish a classifier ?

Options : 

a. One

b. Two

c. Three

d. None of these

Answer :

c. Three

Question 14 :

How many Firms in Exact Bayes Calculation ?

Options : 

a. One

b. Two

c. Three

d. None of these

Answer :

b. Two

You may also Visit :

Factor Analysis MCQ’s

Support Vector Machine MCQ’s

K-Nearest Neighbours MCQ’s

Random Forest MCQ’s

Ancova MCQ’s – Aritificial Intelligence

 

The post Naive Bayes MCQ’s – Artificial Intelligence appeared first on CSE Things.]]> https://csethings.com/naive-bayes-mcqs/feed/ 2 Cluster Analysis – Artificial Intelligence https://csethings.com/cluster-analysis/ https://csethings.com/cluster-analysis/#respond Thu, 06 May 2021 09:56:38 +0000 https://csethings.com/?p=468 Question 1 : A Graphical device for displaying clustering is? Options :  a. Cluster Centers b. Cluster Centroids c. Cluster Membership d. Dendrogram Answer :d. Dendrogram   Question 2 : How much types of clusters are there? Options :  a. One b. Two c. Three d. Four Answer :b. Two   Question 3 : A […]

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Question 1 :

A Graphical device for displaying clustering is?

Options : 

a. Cluster Centers

b. Cluster Centroids

c. Cluster Membership

d. Dendrogram

Answer :

d. Dendrogram

 

Question 2 :

How much types of clusters are there?

Options : 

a. One

b. Two

c. Three

d. Four

Answer :

b. Two

 

Question 3 :

A division data objects into non-overlapping subsets (clusters) such that each data object is in exactly one subset

Options : 

a. Hierarchical

b. Non Hierarchical

c. Dendrogram

d. Cluster Membership

Answer :

b. Non Hierarchical

 

You may also Visit :

Factor Analysis MCQ’s

Support Vector Machine MCQ’s

K-Nearest Neighbours MCQ’s

Random Forest MCQ’s

Naive Bayes MCQ’s

Ancova MCQ’s – Aritificial Intelligence

The post Cluster Analysis – Artificial Intelligence appeared first on CSE Things.]]> https://csethings.com/cluster-analysis/feed/ 0 Ancova MCQ’s – Artificial Intelligence https://csethings.com/elementor-462/ https://csethings.com/elementor-462/#comments Thu, 06 May 2021 09:34:44 +0000 https://csethings.com/?p=462 Question 1 : ANCOVA expands Options :  a. Analysis of Coverable b. Analysis of covariance c. both (a) and (b) d. None Answer : b. Analysis of covariance Question 2 : ANCOVA used when dependent variable is Options :  a. Continuous b. Categorical c. Both (a) and (b) d. None of these Answer : a. […]

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Question 1 :

ANCOVA expands

Options : 

a. Analysis of Coverable

b. Analysis of covariance

c. both (a) and (b)

d. None

Answer :

b. Analysis of covariance

 

Question 2 :

ANCOVA used when dependent variable is

Options : 

a. Continuous

b. Categorical

c. Both (a) and (b)

d. None of these

Answer :

a. Continuous

 

Question 3 :

ANCOVA used when independent variable is

Options : 

a. Continuous

b. Categorical

c. Both (a) and (b)

d. None of these

Answer :

b. Categorical

 

Question 4 :

ANCOVA, continuous independent variable is also called as

Options : 

a. Factor

b. Covariates

c. Cluster

d. None of these

Answer :

b. Covariates

 

Question 5 :

Which packages we can use in the ANCOVA?

Options : 

a. Scipy

b. Sklearn

c. Matplotlib

d. Pandas

Answer :

a. Scipy

 

Question 6 :

ANOVA is used to compare the sample mean with respect to

Options : 

a. Covariance

b. Variance

c. Mean

d. Median

Answer :

a. Covariance

 

You may also Visit :

Cluster Analysis MCQ’s

Naive Bayes MCQ’s

Random Forest MCQ’s

K-Nearest Neighbours MCQ’s

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