In a real problem, you should check to see if the SVM is separable and then include slack variables if it is not separable.

Consider the following information and answer the questions based on it. Out of the 75 birders, 15 wanted to see only sunbird, 10 wanted to see only flycatcher, 12 wanted to see both sunbird and nuthatch, 15 wanted to see only bee-eater, 13 wanted to see both sunbird and bee-eater, 5 wanted to see both flycatcher and nuthatch and the remaining wanted to see only nuthatch. The difference between the birders who want to see sunbird and those who want to see flycatcher is

A

12

B

25

C

30

D

15

Suppose you have trained an SVM with linear decision boundary after training SVM, you correctly infer that your SVM model is under fitting. Which of the following is best option would you more likely to consider iterating SVM next time?

A

you want to increase your data points

B

you want to decrease your data points

C

you will try to calculate more variables

D

you will try to reduce the features

Out of the 100 nature lovers, 20 people wanted to see only bison, 30 wanted to see both bison and tiger, 15 wanted to see only leopard, 25 wanted to see only tiger, 5 wanted to see both bison and leopard and the remaining wanted to see only bear. How many people who wanted to see bison did not want to see leopard?

A

5

B

15

C

50

D

55

Consider the following information and answer the questions based on it. Out of the 75 birders, 15 wanted to see only sunbird, 10 wanted to see only flycatcher, 12 wanted to see both sunbird and nuthatch, 15 wanted to see only bee-eater, 13 wanted to see both sunbird and bee-eater, 5 wanted to see both flycatcher and nuthatch and the remaining wanted to see only nuthatch. How many birders wanted to see only one bird?

A

30

B

40

C

45

D

50

Suppose you are building a SVM model on data X. The data X can be error prone which means that you should not trust any specific data point too much. Now think that you want to build a SVM model which has quadratic kernel function of polynomial degree 2 that uses Slack variable C as one of it's hyper parameter.What would happen when you use very large value of C(C->infinity)?

A

We can still classify data correctly for given setting of hyper parameter C

B

We can not classify data correctly for given setting of hyper parameter C

C

Can't Say

D

None of these

Suppose you are building a SVM model on data X. The data X can be error prone which means that you should not trust any specific data point too much. Now think that you want to build a SVM model which has quadratic kernel function of polynomial degree 2 that uses Slack variable C as one of it's hyper parameter.What would happen when you use very small C (C~0)?

A

Misclassification would happen

B

Data will be correctly classified

C

Can't say

D

None of these

Out of the 100 nature lovers, 20 people wanted to see only bison, 30 wanted to see both bison and tiger, 15 wanted to see only leopard, 25 wanted to see only tiger, 5 wanted to see both bison and leopard and the remaining wanted to see only bear. The ratio of people to wanted to see tiger to those who wanted to see bear is

A

1\/11

B

11\/3

C

11\/1

D

3\/11

Consider the following information and answer the questions based on it. Out of the 75 birders, 15 wanted to see only sunbird, 10 wanted to see only flycatcher, 12 wanted to see both sunbird and nuthatch, 15 wanted to see only bee-eater, 13 wanted to see both sunbird and bee-eater, 5 wanted to see both flycatcher and nuthatch and the remaining wanted to see only nuthatch. The ratio of birders who like nuthatch to those who like bee-eaters is

A

11\/14

B

10\/7

C

11\/20

D

30\/8

Out of the 100 nature lovers, 20 people wanted to see only bison, 30 wanted to see both bison and tiger, 15 wanted to see only leopard, 25 wanted to see only tiger, 5 wanted to see both bison and leopard and the remaining wanted to see only bear. How many people wanted to see only one animal?

A

35

B

65

C

60

D

50

S₁: If you want to do well in your examinations you need to be able to think for yourself which means not just following the guide-books but write what you think yourself.
P: That will not help much.
Q: Few if any students do this.
R: By discussing things with other students, with your teachers, and with any intelligent people you meet you will find you can pick up a lot of new ideas but it is not good first accepting these ideas, swallowing them undigested and then repeating them in the examination.
S: At first you will find it difficult but if you go on trying you will find clear independent thought becomes easier.
S₆: If however you turn these ideas over in our mind accepting those which you agree with and fitting them into your stock of knowledge and rejecting the others you may get somewhere.

The Proper sequence should be:

A

PSQR

B

QSRP

C

RSQP

D

SRQP

In a real problem, you should check to see if the SVM is separable and then include slack variables if it is not separable.

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