Machine Learning-1

Machine Learning-1

Professional Development

20 Qs

quiz-placeholder

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Machine Learning-1

Machine Learning-1

Assessment

Quiz

Engineering

Professional Development

Medium

Created by

Thimma Reddy B

Used 1+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a labeled dataset used in?

Unsupervised Learning

Supervised Learning

Reinforcement Learning

Semi-Supervised Learning

Self-Supervised Learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify the Problem:

We have Information of all previous general elections with respect to party, votes, Candidates, Locality, Issues in nation, etc. With All this information we need to find the winner of next general election.

Classification

Regression

Clustering

Association

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify the problem:

We have information of all houses in a particular area like size, type and design of house, locality, color, previous purchase etc. On the basis of these data we have to find the price of a particular house.

Classification

Regression

Clustering

Probabilistic

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify the problem:

You have details of corona affected positive cases found in various regions. Depending upon parameters like number of increasing corona infected patients, weather conditions etc.. Regions are classified into red zone, Green zone and Orange Zone. On the basis of these data we have to predict the region of a city.

Classification

Regression

Clustering

Association

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is not a method of cross validation?

Leave One Out CV

K-Fold CV

Stratified K-Fold CV

Timeline CV

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If I am using all features of my dataset and I achieve 100% accuracy on my training set, but 70% on validation set, what might be the reason?

Overfitting

Underfitting

Bestfitting

Average fitting

7.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Select prime reason for using unsupervised Machine Learning Algorithms.

Finds all kind of unknown patterns in data.

Help you to solve maze kind of problems

Help you to Predict whether a fruit is apple or not

Help you to predict prize of stock

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