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Study Jam ML Quiz - b

Total questions: 10

Worksheet time: 6mins

Name
Class
Date
1.

For the above confusion matrix, what is the recall?

a)

0.6

b)

0.9

c)

0.7

d)

0.8

2.

What is the concept of reinforcement learning?

a)

Learning from labeled data

b)

Learning from unlabeled data

c)

Learning from environment

3.

The most commonly used measure of similarity is the _____ or its square.

a)

euclidean distance

b)

Manhattan distance

c)

Chebychev’s distance

d)

None of the above

4.

Which of the following about K-means algorithm is true?

a)

The K-means algorithm is sensitive to outliers

b)

For different initialization K-means will definitely give same clustering result

c)

It can detect non-convex clusters

d)

The centroids in the K-means algorithm may not be any observed data points

5.

On what factor the number of outputs depends in Neural Network?

a)

Distinct Inputs

b)

Distinct classes

c)

It's random

d)

both a and b

6.

What are the two types of Hierarchical Clustering?

a)

Divisive

b)

K-means

c)

Dendogram

d)

Agglomerative

7.

What is correct about gradient descent?

a)

It returns the optimum parameters that minimize the cost function

b)

It returns the optimum parameters that maximize the cost function

c)

It returns the optimum parameters that minimize the loss function

d)

It returns the optimum parameters that maximize the loss function

8.

What if the learning rate is too high?

a)

Model takes longer time to converge

b)

Model consumes more computational resources

c)

Model is difficult to converge

d)

Model is difficult to generalize

9.

The most suitable activation function for hidden layer

a)

Sigmoid

b)

ReLu

c)

Softmax

d)

Tanh

10.

The process of adjusting the weight is known as?

a)

activation

b)

synchronization

c)

learning

d)

none of the above