Feature Selection

GenericUnivariateSelect/RFE/RFECV/SelectFromModel

Common

Input Data

	Inputs
*Target Data(X)	Data Input
*Model Name	Name of the user-defined feature selection model
Transform	If not empty, the output data with only selected features will be stored here. If left empty, the model will only compute scores on individual features.
Conv.DataFrame	If checked, the output data created by Transform will be converted into a DataFrame.
*X	User-selected columns to be X. Data type: GenericUnivariateSelect: numeric. else: Correct data type for the selected estimator. One or more columns should be selected.
*Y	User-selected columns to be Y.

Defining estimators

In case of using RFE/RFECV/SelectFromModel, you have to define the estimator in Arguments.

About R-Flow estimators

[Task information of GenericUnivariateSelect]

Workflow Example

R-Flow Task Example Video: RFE

R-Flow Task Example - GenericUnivariateSelect

Python Package

GenericUnivariateSelect: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html

RFE: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html

RFECV: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html

SelectFromModel: https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html