Orange: Randomize

From OnnoWiki
Revision as of 11:30, 27 January 2020 by Onnowpurbo (talk | contribs)
Jump to navigation Jump to search

Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/randomize.html


Shuffles classes, attributes and/or metas of an input dataset.

Input

Data: input dataset

Output

Data: randomized dataset

The Randomize widget receives a dataset in the input and outputs the same dataset in which the classes, attributes or/and metas are shuffled.

Randomize-Default.png


   Select group of columns of the dataset you want to shuffle.
   Select proportion of the dataset you want to shuffle.
   Produce replicable output.
   If Apply automatically is ticked, changes are committed automatically. Otherwise, you have to press Apply after each change.
   Produce a report.

Contoh

The Randomize widget is usually placed right after (e.g. File widget. The basic usage is shown in the following workflow, where values of class variable of Iris dataset are randomly shuffled.

Randomize-Example1.png

In the next example we show how shuffling class values influences model performance on the same dataset as above.

Randomize-Example2.png



Referensi

Pranala Menarik