Multiclass and Multilabel Classification

OneVsRestClassifier, OneVsOneClassifier, OutputCodeClassifier

Common

Input Data

Parameters	Inputs
*Target Data	Data Input
*Model Name	Name of the user-defined feature selection model
Predict Output	Name of the output data
Merge Data	Predict Output will be created with predicted labels concatenated to Merge Data.
*X	User-selected columns to be X.
*Y	User-selected column to be Y (predicted multi-class targets) only one item with n-classes should be selected

Defining estimators

Define the estimator in Arguments.

About R-Flow estimators

[Task Information of OneVsRestClassifier]

Workflow Example

Python Package

OneVsRestClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html

OneVsOneClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html

OutputCodeClassifier: https://scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html