Machine Learning Online Quiz, Machine Learning MCQ, W3Schools, Great Learning Quiz

1 .

Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable?

A)

Logloss

B)

Accuracy

C)

AUC-ROC

D)

Mean-Squared-Error

Correct Answer : Option (D) : Mean-Squared-Error

2 .

Which of the following is true about Residuals?

A)

Higher is better

B)

Lower is better

C)

Both (a) and (b)

D)

None of the above

Correct Answer : Option (B) : Lower is better

3 .

Which of the following is not a supervised learning?

A)

PCA

B)

Naive Bayesian

C)

Linear Regression

D)

Decision Tree

Correct Answer : Option (A) : PCA

4 .

Which of the following are ML methods?

A)

supervised Learning

B)

based on human supervision

C)

semi-reinforcement Learning

D)

All of the above

Correct Answer : Option (B) : based on human supervision

Explanation : The following are various ML methods based on some broad categories : Based on human supervision, Unsupervised Learning, Semi-supervised Learning and Reinforcement Learning

5 .

Different learning methods does not include?

A)

Analogy

B)

Deduction

C)

Introduction

D)

Memorization

Correct Answer : Option (C) : Introduction

6 .

Which of the following techniques can not be used for normalization in text mining?

A)

Stemming

B)

Lemmatization

C)

Stop Word Removal

D)

None of the above

Correct Answer : Option (C) : Stop Word Removal

Explanation : Lemmatization and stemming are the techniques of keyword normalization.

7 .

What is a sentence parser typically used for?

A)

It is used to parse sentences to assign POS tags to all tokens.

B)

It is used to parse sentences to check if they are utf-8 compliant.

C)

It is used to check if sentences can be parsed into meaningful tokens.

D)

It is used to parse sentences to derive their most likely syntax tree structures.

Correct Answer : Option (D) : It is used to parse sentences to derive their most likely syntax tree structures.

Explanation : Sentence parsers analyze a sentence and automatically build a syntax tree.

8 .

In which of the following cases will K-means clustering fail to give good results?

1) Data points with outliers

2) Data points with different densities

3) Data points with nonconvex shapes

A)

1 and 2

B)

2 and 3

C)

1 and 3

D)

All of the above

Correct Answer : Option (D) : All of the above

Explaination : K-means clustering algorithm fails to give good results when the data contains outliers, the density spread of data points across the data space is different, and the data points follow nonconvex shapes.

9 .

We can compute the coefficient of linear regression by using

A)

Gradient descent

B)

Normal Equation

C)

Both (a) and (b)

D)

None of the above

Correct Answer : Option (C) : Both (a) and (b)

10 .

Data points have positive residual

A)

if they are above the regression line

B)

if they are below the regression line

C)

if the regression line actually passes through the point

D)

None of the above

Correct Answer : Option (A) : if they are above the regression line