Quiz on machine learning

Quiz on machine learning

Professional Development

20 Qs

quiz-placeholder

Similar activities

NA1 R&R

NA1 R&R

Professional Development

15 Qs

Edukasi Rupiah Kepada PERBARINDO Tahun 2024

Edukasi Rupiah Kepada PERBARINDO Tahun 2024

Professional Development

20 Qs

IOT PERTEMUAN 1

IOT PERTEMUAN 1

Professional Development

20 Qs

Company Profile

Company Profile

Professional Development

15 Qs

Screening Test 907

Screening Test 907

Professional Development

15 Qs

Painting and Decorating L1 - RECAP

Painting and Decorating L1 - RECAP

Professional Development

15 Qs

DTA KBQ Janmashtami Special

DTA KBQ Janmashtami Special

Professional Development

20 Qs

2ND QUIZ AMIP

2ND QUIZ AMIP

Professional Development

20 Qs

Quiz on machine learning

Quiz on machine learning

Assessment

Quiz

Other

Professional Development

Hard

CCSS
HSS.ID.A.4, HSS.ID.C.9, 6.SP.B.5B

Standards-aligned

Created by

ameya patil

Used 60+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a classification problem, the outputs are

categorical or discrete

numerical or continuous

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a regression problem, the output is _

categorical or discrete

numerical or continuous

Tags

CCSS.HSS.ID.C.9

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between K-means and KNN Algorithms?

K-means is supervised while KNN is unsupervised

K-Means is used for clustering while KNN is used for classification and regression

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

KNeighborsClassifier class can be imported as:

from sklearn.ensemble import KNeighborsClassifier

from sklearn.neighbors import KNeighborsClassifier

from sklearn.tree import KNeighborsClassifier

from sklearn import KNeighborsClassifier

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is FALSE about SVM?

SVM has inbuilt L2 regularization capabilities

SVM solves both classification and regression problems

It does not require any feature scaling

Choosing an appropriate Kernel function is difficult

6.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which of the following is FALSE about Entropy in context of Decision Tree?

Entropy keeps on increasing as we keep splitting the nodes

Entropy is calculated using Information Gain

None of the above

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is FALSE about Random Forest and Adaboost?

Random Forest aims to decrease variance and not bias

Adaboost aims to decrease bias not variance

Both Adaboost and Random Forest aim to decrease both bias and variance

None of the above

Create a free account and access millions of resources

Create resources

Host any resource

Get auto-graded reports

Google

Continue with Google

Email

Continue with Email

Classlink

Continue with Classlink

Clever

Continue with Clever

or continue with

Microsoft

Microsoft

Apple

Apple

Others

Others

By signing up, you agree to our Terms of Service & Privacy Policy

Already have an account?