Feature selection - SelectKBest sklearn2019 Community Moderator ElectionImportance of feature selection for boosting methodsHow does SelectKBest() perform feature selection?Sklearn feature selection stopping criterion (SelectFromModel)Is there a problem of over fitting in my dataset?Feature reduction convenienceFeature selection: Information leaking if done before CV-split?LSTM Feature selection processWhen to perform feature selection, how, and how does data affect choosing the predictive model?Feature Selection: Having a large number of features select those features that classify the target class bestFeature selection using a filter for multiclass problem: What if many features are strongly predictive of few classes?
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Feature selection - SelectKBest sklearn
2019 Community Moderator ElectionImportance of feature selection for boosting methodsHow does SelectKBest() perform feature selection?Sklearn feature selection stopping criterion (SelectFromModel)Is there a problem of over fitting in my dataset?Feature reduction convenienceFeature selection: Information leaking if done before CV-split?LSTM Feature selection processWhen to perform feature selection, how, and how does data affect choosing the predictive model?Feature Selection: Having a large number of features select those features that classify the target class bestFeature selection using a filter for multiclass problem: What if many features are strongly predictive of few classes?
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I would like to ask how to set paramater k in function SelectKBest for feature selection. I have now around 2300 features, so I think that default value 10 is not enough. Is there any approach, how many features choose or it is just on testing to find some compromise between accuracy and number of features?
scikit-learn feature-selection
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add a comment |
$begingroup$
I would like to ask how to set paramater k in function SelectKBest for feature selection. I have now around 2300 features, so I think that default value 10 is not enough. Is there any approach, how many features choose or it is just on testing to find some compromise between accuracy and number of features?
scikit-learn feature-selection
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Welcome to this site! How about plotting (model accuracy, k) to find a suitable k? for k = 1, 2, 4, 8, 16, 32, ...
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– Esmailian
Mar 28 at 19:21
add a comment |
$begingroup$
I would like to ask how to set paramater k in function SelectKBest for feature selection. I have now around 2300 features, so I think that default value 10 is not enough. Is there any approach, how many features choose or it is just on testing to find some compromise between accuracy and number of features?
scikit-learn feature-selection
$endgroup$
I would like to ask how to set paramater k in function SelectKBest for feature selection. I have now around 2300 features, so I think that default value 10 is not enough. Is there any approach, how many features choose or it is just on testing to find some compromise between accuracy and number of features?
scikit-learn feature-selection
scikit-learn feature-selection
asked Mar 28 at 17:02
SMI9SMI9
64
64
$begingroup$
Welcome to this site! How about plotting (model accuracy, k) to find a suitable k? for k = 1, 2, 4, 8, 16, 32, ...
$endgroup$
– Esmailian
Mar 28 at 19:21
add a comment |
$begingroup$
Welcome to this site! How about plotting (model accuracy, k) to find a suitable k? for k = 1, 2, 4, 8, 16, 32, ...
$endgroup$
– Esmailian
Mar 28 at 19:21
$begingroup$
Welcome to this site! How about plotting (model accuracy, k) to find a suitable k? for k = 1, 2, 4, 8, 16, 32, ...
$endgroup$
– Esmailian
Mar 28 at 19:21
$begingroup$
Welcome to this site! How about plotting (model accuracy, k) to find a suitable k? for k = 1, 2, 4, 8, 16, 32, ...
$endgroup$
– Esmailian
Mar 28 at 19:21
add a comment |
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$begingroup$
Welcome to this site! How about plotting (model accuracy, k) to find a suitable k? for k = 1, 2, 4, 8, 16, 32, ...
$endgroup$
– Esmailian
Mar 28 at 19:21