The output is whether a person will surely vote or surely not vote or may cast a vote, based on one feature. It is an example of multiclass classification.

The output is whether a person will surely vote or surely not vote or may cast a vote, based on one feature. It is an example of multiclass classification. Correct Answer True

In multiclass classification, the output, y should have more than two values (or classes). Here, there are three classes – i) surely vote, ii) surely not vote, and iii) may cast a vote. Thus, it is an example of multiclass classification.
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h,J,K,L,M,N and O are the only legislators eligible to vote on Bills 1,2 and 3, each of which will be passed if at least four legislators eligible vote in favor of it. each legislator must vote on all three bills; on abstentions are possible. The following is known : *H must vote against all three bills; each of the other legislators must vote in favor of at least one bill and against at lest one bill. *j must vote against Bills 1. *O Must vote against Bills 2 and 3. * L must the same way that K dose on all three bills.*N must vote the same way that O dose on all three bills. which of the following must vote in favor of Bill 1 ?
h,J,K,L,M,N and O are the only legislators eligible to vote on Bills 1,2 and 3, each of which will be passed if at least four legislators eligible vote in favor of it. each legislator must vote on all three bills; on abstentions are possible. The following is known : *H must vote against all three bills; each of the other legislators must vote in favor of at least one bill and against at lest one bill. *j must vote against Bills 1. *O Must vote against Bills 2 and 3. * L must the same way that K dose on all three bills.*N must vote the same way that O dose on all three bills. If any bill is to be passed,which of the following must be among the legislators who vote in favor of it?
h,J,K,L,M,N and O are the only legislators eligible to vote on Bills 1,2 and 3, each of which will be passed if at least four legislators eligible vote in favor of it. each legislator must vote on all three bills; on abstentions are possible. The following is known : *H must vote against all three bills; each of the other legislators must vote in favor of at least one bill and against at lest one bill. *j must vote against Bills 1. *O Must vote against Bills 2 and 3. * L must the same way that K dose on all three bills.*N must vote the same way that O dose on all three bills. The maximum number of favorable votes that Bill 2 could receive is ---
h,J,K,L,M,N and O are the only legislators eligible to vote on Bills 1,2 and 3, each of which will be passed if at least four legislators eligible vote in favor of it. each legislator must vote on all three bills; on abstentions are possible. The following is known : *H must vote against all three bills; each of the other legislators must vote in favor of at least one bill and against at lest one bill. *j must vote against Bills 1. *O Must vote against Bills 2 and 3. * L must the same way that K dose on all three bills.*N must vote the same way that O dose on all three bills. which of the following cannot be true ?
h,J,K,L,M,N and O are the only legislators eligible to vote on Bills 1,2 and 3, each of which will be passed if at least four legislators eligible vote in favor of it. each legislator must vote on all three bills; on abstentions are possible. The following is known : *H must vote against all three bills; each of the other legislators must vote in favor of at least one bill and against at lest one bill. *j must vote against Bills 1. *O Must vote against Bills 2 and 3. * L must the same way that K dose on all three bills.*N must vote the same way that O dose on all three bills. If M votes the same way that O dose on all three bills, which of the following can be determined ?
The output is whether a person will vote or not, based on several features. It is an example of multiclass classification.
Principle: A plaintiff who suffers some injury will be entitled to receive compensation even if he suffers no loss.
Factual Situation: Reddy was a strong political worker of Party X. He was proceeding to the poling booth at about 7:30 am, to cast his vote in favour of Mr. Naik, his party candidate. On the way, the State Police officials suspected Reddy to be an anti-social element and took him into custody for questioning. Reddy pleaded with the officials that he was a genuine voter and had no previous criminal records and requested them to allow him to cast his vote. The officials allegedly detained him in custody till about 4:45 pm and thereafter released him, recording that they could not find any thing against him. By the time Reddy reached the poling booth the polling time was over and he could not vote for Mr. Naik. When the results were declared Mr. Naik got a Majority of over 6000 votes and Party X got the majority to form the Government. Reddy files a suit for compensation against the State.
We usually use feature normalization before using the Gaussian kernel in SVM. What is true about feature normalization?
1. We do feature normalization so that new feature will dominate other
2. Some times, feature normalization is not feasible in case of categorical variables
3. Feature normalization always helps when we use Gaussian kernel in SVM
If the prosecution case relates to committing personation which of the following is required by the prosecution to lead evidence to prove?
1. Applying for a voting paper (ballot paper) for giving vote in the name of a person other than the applicant accused
2. Such other person may be dead or alive
3. Applying for voting or vote in the name of a fictitious person
4. Who having voted applies for casting his vote again in the same election
Select a figure from amongst the Answer figures which possesses the feature similar to problem figures.
Classification in Non Verbal Reasoning mcq question image