StackOverflow Questions for Tag: feature-selection

Emily Wong

Reputation: 1

Does GAFeatureSelectionCV support StratifiedGroupKFold cross validation?

scikit-learnfeature-selection

Score: 0

Answers: 0

gladys0313

Reputation: 2699

python: How to get real feature name from feature_importances

pythonscikit-learnclassificationfeature-selection

Score: 6

Answers: 3

Violet

Reputation: 27

How to stop Boruta algorithm including the outcome variable in the output?

rshinyfeature-selection

Score: 1

Answers: 1

Aviade

Reputation: 2097

The easiest way for getting feature names after running SelectKBest in Scikit Learn

pythonpandasscikit-learnfeature-extractionfeature-selection

Score: 86

Answers: 9

Kashif Khan

Reputation: 299

How can i apply feature reduction methods in Weka?

machine-learningwekatext-classificationfeature-selection

Score: -1

Answers: 1

Roaa

Reputation: 21

Can you help me in this error? AttributeError: 'numpy.ndarray' object has no attribute 'keys'

pythonpandascorrelationfeature-extractionfeature-selection

Score: -1

Answers: 1

Jonathan Raphael

Reputation: 11

partykit: Error when using varimp on cforest for data set including NA values

rrandom-forestfeature-selectionpartykit

Score: 1

Answers: 0

Tushar Mehta

Reputation: 560

Feature Selection in PySpark

pythonmachine-learningpysparkfeature-selectiongoogle-cloud-dataproc

Score: 8

Answers: 4

BenjaminHunter

Reputation: 13

Feature Selection Using Bootstrap Resampling, LASSO and Stepwise Regression

rmachine-learningcross-validationfeature-selectionresampling

Score: 1

Answers: 2

Nasim

Reputation: 11

AttributeError: 'RFECV' object has no attribute 'grid_scores_'

pythonscikit-learnattributeerrorfeature-selection

Score: 1

Answers: 3

acomrade

Reputation: 1

Attribute selection via PCA in Weka

wekapcafeature-selection

Score: 0

Answers: 0

Basheer Ahmad

Reputation: 33

Feature selection in survival data using mRMRe package in r

rfeature-selectionsurvival-analysis

Score: 1

Answers: 1

Marwan Haioun

Reputation: 11

How to approach classification with many categorical features

regressionclassificationcategorical-datafeature-selection

Score: 1

Answers: 2

a12456

Reputation: 1

Force variables in mixed-models LASSO - glmmLASSO

rfeature-selectionmixed-modelslasso-regression

Score: 0

Answers: 0

Miranda

Reputation: 1

How can I use, in R with the caret package, the F2 score as a metric for the feature selection using Genetic Algorithm and Random Forest as a model?

metricsgenetic-algorithmr-caretfeature-selection

Score: 0

Answers: 0

Stupid420

Reputation: 1419

All intermediate steps should be transformers and implement fit and transform

pythonmachine-learningscikit-learntypeerrorfeature-selection

Score: 13

Answers: 3

Tony Passaro

Reputation: 1

Apply feature weights to sklearn model for clf.predict

pythonscikit-learnpredictfeature-selection

Score: 0

Answers: 0

Test

Reputation: 49

io.cucumber.junit.UndefinedStepException: The step "User is in login page" is undefined. You can implement it using the snippet(s) below:

seleniumcucumberfeature-selectioncucumber-java

Score: 0

Answers: 3

lando calrissian

Reputation: 1

Principal Component Analysis and Information Gain for feature selection

pythonpcafeature-selection

Score: 0

Answers: 0

Sara

Reputation: 43

function importance for randomForest package

rrandom-forestfeature-selection

Score: 0

Answers: 2

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StackOverflow Questions for Tag: feature-selection

Does GAFeatureSelectionCV support StratifiedGroupKFold cross validation?

python: How to get real feature name from feature_importances

How to stop Boruta algorithm including the outcome variable in the output?

The easiest way for getting feature names after running SelectKBest in Scikit Learn

How can i apply feature reduction methods in Weka?

Can you help me in this error? AttributeError: &#39;numpy.ndarray&#39; object has no attribute &#39;keys&#39;

partykit: Error when using varimp on cforest for data set including NA values

Feature Selection in PySpark

Feature Selection Using Bootstrap Resampling, LASSO and Stepwise Regression

AttributeError: &#39;RFECV&#39; object has no attribute &#39;grid_scores_&#39;

Attribute selection via PCA in Weka

Feature selection in survival data using mRMRe package in r

How to approach classification with many categorical features

Force variables in mixed-models LASSO - glmmLASSO

How can I use, in R with the caret package, the F2 score as a metric for the feature selection using Genetic Algorithm and Random Forest as a model?

All intermediate steps should be transformers and implement fit and transform

Apply feature weights to sklearn model for clf.predict

io.cucumber.junit.UndefinedStepException: The step &quot;User is in login page&quot; is undefined. You can implement it using the snippet(s) below:

Principal Component Analysis and Information Gain for feature selection

function importance for randomForest package

Can you help me in this error? AttributeError: 'numpy.ndarray' object has no attribute 'keys'

AttributeError: 'RFECV' object has no attribute 'grid_scores_'

io.cucumber.junit.UndefinedStepException: The step "User is in login page" is undefined. You can implement it using the snippet(s) below: