ерке 2

ерке 2

University

28 Qs

quiz-placeholder

Similar activities

Elements of Design Quiz

Elements of Design Quiz

12th Grade - University

25 Qs

Historia de los estilos

Historia de los estilos

University

25 Qs

Examen de Negocios

Examen de Negocios

University

25 Qs

TECNO1 - Teórica de Repaso Final

TECNO1 - Teórica de Repaso Final

1st Grade - University

25 Qs

Examen 3e de Dibujo para Ingeniería

Examen 3e de Dibujo para Ingeniería

University - Professional Development

24 Qs

Line 7 General Product Knowledge

Line 7 General Product Knowledge

University

23 Qs

Drafting

Drafting

6th Grade - Professional Development

23 Qs

Brochures & Newsletter

Brochures & Newsletter

University

24 Qs

ерке 2

ерке 2

Assessment

Quiz

Design

University

Practice Problem

Medium

Created by

Аружан Аканова

Used 1+ times

FREE Resource

AI

Enhance your content in a minute

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

28 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

Give the following dataset. Let be given an object F with the following features: X1 = 0, X2 = 0. Then in the case when k = 3, F relates to the class:

Class C
Class D
Class A
Class B

2.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Which of the following tasks are classification tasks?

  1. assessment of the borrower's creditworthiness

  1. determination of the most appropriate method of treatment;

  1. determining the outcome of the disease;

  1. problem of search output

3.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

What is True about sigmoid function?

  1. Range is (-∞,∞)

  1. Range is (0,1)

  1. Domain is (0,1)

  1. Range is {0,1}

4.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

In the classification table below, how many mistakes are made when participants are predicted to be female?   

6

4

32

57

5.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Media Image

The following dataset will be used to learn a decision tree for predicting whether a person is happy (H) or sad(S) based on the colour of their shoes, whether they wear a wig and the number of ears they have.

Use a neural network to learn the decision tree
Use a machine learning algorithm like ID3 or C4.5 to learn a decision tree based on the dataset.
Use a support vector machine to learn the decision tree
Use a linear regression model to learn the decision tree

6.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Which attribute would the decision tree building algorithm choose to use for the root of the tree?

  1. Color

  1. Wig

  1. Num. Ears

7.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Which is true? K-Means __________

  1. is independent of distances

  1. detects the final number of clusters by itself

  1. is a slow but precise algorithm

  1. relies on random initialization

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?