Machine Learning

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

• none of them

Tags

CCSS.HSS.IC.B.3

Identify the problem:

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

• Classification

• Regression

• Clustering

• Prbabilistic

Identify a 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

• unsupervised learning

Tags

CCSS.HSS.ID.B.5

State whether True or False

The most meaningful and interpretable principal components are those that have the largest eigenvalues

• True

• False

Cross validation is used for

• Comparing predictors

• Selecting parameters in prediction function

• Selecting variables to include in a model

• All of the mentioned

State True or False

For k cross-validation, larger k value implies more bias.

• True

• False

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

• Leave One Out CV

• K-Fold CV

• Stratified K-Fold CV

• Timeline CV

If I am using all features of my dataset and I achieve 100% accuracy on my training set, but ~70% on validation set, what should I look out for?

• Overfitting

• Underfitting

• Bestfitting

Give the correct Answer for following statements.

1. It is important to perform feature normalization before using the Gaussian kernel.

2. The maximum value of the Gaussian kernel (i.e., ) is 1.

• Statement 1 is True and 2 is False

• Statement 1 is False and 2 is True

• Both statements are False

• Both Statements are True

Which is/are method to do multiclass classification?

• One Vs Rest

• One vs One

• All vs One

• One vs Other