i need to equal balance of binary class attribute. so i used re-sampling setting: biastouniformclass: 1.0. it works correctly but never under stand how it works like Are they perform undersamplng or oversampling or both or not both or by replacing or without replacing etc. how they performing?
Produces a random subsample of a dataset using either sampling with replacement or without replacement.
The original dataset must fit entirely in memory. The number of instances in the generated dataset may be specified. The dataset must have a nominal class attribute. If not, use the unsupervised version. The filter can be made to maintain the class distribution in the subsample, or to bias the class distribution toward a uniform distribution. When used in batch mode (i.e. in the FilteredClassifier), subsequent batches are NOT resampled.
Follow this link
http://weka.sourceforge.net/doc.stable/weka/filters/supervised/instance/Resample.html
Dear Kshira Sagar,
Is re-sampling perform undersampling or oversampling or both or not both please.