How to measure the co-variance of multiple choice answers to predict a correct answer to a question?
$begingroup$
In this article from Mux:
https://mux.com/blog/how-we-used-machine-learning-to-predict-hq-trivia-answers/
They talk about using the xgboost algorithm to predict multiple choice answers to questions asked.
One interesting point they talked about is there are such questions where it was impossible to answer some questions using simple features like googling the question and counting answers. An example of such a question is as follows:
"Which British author had two of his novels made into films by two different pairs of brothers?"
A. Ian McEwan
B. Nick Hornby
C. Irvine Welsh
They talked about doing this by measuring the covariance of each answer.
How would one go about doing that?
machine-learning nlp xgboost
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$begingroup$
In this article from Mux:
https://mux.com/blog/how-we-used-machine-learning-to-predict-hq-trivia-answers/
They talk about using the xgboost algorithm to predict multiple choice answers to questions asked.
One interesting point they talked about is there are such questions where it was impossible to answer some questions using simple features like googling the question and counting answers. An example of such a question is as follows:
"Which British author had two of his novels made into films by two different pairs of brothers?"
A. Ian McEwan
B. Nick Hornby
C. Irvine Welsh
They talked about doing this by measuring the covariance of each answer.
How would one go about doing that?
machine-learning nlp xgboost
New contributor
OultimoCoder is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
In this article from Mux:
https://mux.com/blog/how-we-used-machine-learning-to-predict-hq-trivia-answers/
They talk about using the xgboost algorithm to predict multiple choice answers to questions asked.
One interesting point they talked about is there are such questions where it was impossible to answer some questions using simple features like googling the question and counting answers. An example of such a question is as follows:
"Which British author had two of his novels made into films by two different pairs of brothers?"
A. Ian McEwan
B. Nick Hornby
C. Irvine Welsh
They talked about doing this by measuring the covariance of each answer.
How would one go about doing that?
machine-learning nlp xgboost
New contributor
OultimoCoder is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
In this article from Mux:
https://mux.com/blog/how-we-used-machine-learning-to-predict-hq-trivia-answers/
They talk about using the xgboost algorithm to predict multiple choice answers to questions asked.
One interesting point they talked about is there are such questions where it was impossible to answer some questions using simple features like googling the question and counting answers. An example of such a question is as follows:
"Which British author had two of his novels made into films by two different pairs of brothers?"
A. Ian McEwan
B. Nick Hornby
C. Irvine Welsh
They talked about doing this by measuring the covariance of each answer.
How would one go about doing that?
machine-learning nlp xgboost
machine-learning nlp xgboost
New contributor
OultimoCoder is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
OultimoCoder is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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