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How to measure the co-variance of multiple choice answers to predict a correct answer to a question?
2019 Community Moderator ElectionHow to apply AdaBoost to more “complex” (non-binary) classifications/data fitting?Question and Answer Chatbot for Customer SupportHow to measure the correlation of different algorithmsXGBoost: predict on only valuable featuresUsing packages such as sklearn vs building ML algorithm from scratchBuilding a model to predict how likely someone is to answer the phone based on past call history and demographics?Check If Answer for a Question is Correct by SimilarityHow to fetch text from pdf to further proceed with question answer based model from the same document?How to predict multiple iterations in the future based on current close prices? Keras PythonWord classification (not text classification) using NLP
$begingroup$
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
asked 56 mins ago
OultimoCoderOultimoCoder
183
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
asked 56 mins ago
OultimoCoderOultimoCoder
183
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
asked 56 mins ago
OultimoCoderOultimoCoder
183
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
asked 56 mins ago
OultimoCoderOultimoCoder
183
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.
asked 56 mins ago
OultimoCoderOultimoCoder
183
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.
asked 56 mins ago
OultimoCoderOultimoCoder
183
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.
asked 56 mins ago
OultimoCoderOultimoCoder
183
asked 56 mins ago
OultimoCoderOultimoCoder
183
183
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.
OultimoCoder is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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