can anyone give me MOOB code in python
Multi-class classication problems are often considered more challenging than their binary counterparts because multiple classes can increase the data complexity and aggravate the imbalanced distribution A limited number of research studies considered multi-class online learning from evolving streams, focusing on resampling techniques. Two ensemble learning methods for multi-class online learning have been proposed. These two algorithms, Multi-class Oversampling-based Online Bagging (MOOB) and Multi- class Under-sampling-based Online Bagging (MUOB) use re-sampling to overcome class imbalance, with the framework of Online Bagging (OB)
I need code of Multi-class oversampling based online bagging (MOOB) for multiclass imbalance data handling.
