StackOverflow Questions for Tag: feature-selection

Ivan Iofrida

Reputation: 1

How can I write and handle mixed character states with Python?

pythonvalidationdatasetfeature-selection

Score: 0

Answers: 0

Nikos

Reputation: 482

Random forest regression: drop-column importance

rregressionrandom-forestfeature-selectionr-ranger

Score: 1

Answers: 1

CuriousToKnow

Reputation: 11

Can I set the importance of the features when generating data with make_classification? Which features are intended to be important by make_classif.?

pythonmachine-learningscikit-learnclassificationfeature-selection

Score: 0

Answers: 0

pckinnunen

Reputation: 11

How can I manually group features with the SHAP package?

pythonfeature-selectionshap

Score: 1

Answers: 0

Dirk

Reputation: 1

Feature Selection with Random Forest and R Package 'Ranger' / interpretation of function 'variable.importance'

random-forestfeature-selection

Score: 0

Answers: 0

Hahanaki

Reputation: 1

Dynamically set K value of SelectKBest

pythonmachine-learningscikit-learnpipelinefeature-selection

Score: 0

Answers: 0

Uğur Özalp

Reputation: 1

ANOVA Feature Selection

pythonfeature-selectionanova

Score: 0

Answers: 0

Pachita

Reputation: 3

Random Forest and SHAP values with few features for features selection

random-forestfeature-selectionshapshapley

Score: 0

Answers: 0

nicolaslebrun

Reputation: 1

Catia Macro - select all ''non'' updated features

selectmacrosfeature-selection

Score: 0

Answers: 0

Abhay

Reputation: 1

Is there a way to retrieve coefficients of SequentialFeatureSelection after model fit?

pythonmachine-learningscikit-learnfeature-selection

Score: 0

Answers: 1

Vicky Fi

Reputation: 69

Automatic Feature Selection from a 3D numpy array using SelectKBest

pythonfeature-selectionarray-broadcasting

Score: 0

Answers: 1

Dexter1611

Reputation: 572

How to find the important variable for every prediction in R XGboost

rmachine-learningxgboostfeature-selectiondalex

Score: 2

Answers: 0

Debasis

Reputation: 129

Unable to find out the feature importance list from histgradientboosting classifier

machine-learningscikit-learnfeature-selectiongradient-descent

Score: 1

Answers: 1

Mostafa Bouzari

Reputation: 10240

Feature selection using backward feature selection in scikit-learn and PCA

pythonpcafeature-selection

Score: 2

Answers: 1

towi_parallelism

Reputation: 1481

Right way to use RFECV and Permutation Importance - Sklearn

pythonscikit-learncross-validationfeature-selectioneli5

Score: 5

Answers: 2

RakinRkz

Reputation: 56

WEKA Caim package

machine-learningfeature-selectiondiscretization

Score: 0

Answers: 1

et_

Reputation: 179

Variable selection in Random forest and prediction accuracy

rrandom-forestfeature-selectionvariable-selection

Score: 1

Answers: 1

Async

Reputation: 29

How to select n columns from a matrix minimizing a given function

time-complexitydynamic-programminglinear-programmingfeature-selectiongreedy

Score: 0

Answers: 1

Vishnu Vennelakanti

Reputation: 101

Random Forest Classifier Removing Features using Top-N Features Method

machine-learningrandom-forestfeature-selection

Score: 0

Answers: 2

hexolitemax

Reputation: 45

Target transformation and feature selection. ValueError: Input X contains NaN

pythonscikit-learncross-validationfeature-selectionrfe

Score: 0

Answers: 1

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StackOverflow Questions for Tag: feature-selection

How can I write and handle mixed character states with Python?

Random forest regression: drop-column importance

Can I set the importance of the features when generating data with make_classification? Which features are intended to be important by make_classif.?

How can I manually group features with the SHAP package?

Feature Selection with Random Forest and R Package &#39;Ranger&#39; / interpretation of function &#39;variable.importance&#39;

Dynamically set K value of SelectKBest

ANOVA Feature Selection

Random Forest and SHAP values with few features for features selection

Catia Macro - select all &#39;&#39;non&#39;&#39; updated features

Is there a way to retrieve coefficients of SequentialFeatureSelection after model fit?

Automatic Feature Selection from a 3D numpy array using SelectKBest

How to find the important variable for every prediction in R XGboost

Unable to find out the feature importance list from histgradientboosting classifier

Feature selection using backward feature selection in scikit-learn and PCA

Right way to use RFECV and Permutation Importance - Sklearn

WEKA Caim package

Variable selection in Random forest and prediction accuracy

How to select n columns from a matrix minimizing a given function

Random Forest Classifier Removing Features using Top-N Features Method

Target transformation and feature selection. ValueError: Input X contains NaN

Feature Selection with Random Forest and R Package 'Ranger' / interpretation of function 'variable.importance'

Catia Macro - select all ''non'' updated features