The confusion matrix is capable of giving the researchers detailed information about how a machine learning classifier has performed with respect to the target classes in the dataset. A confusion ...

Recent developments in machine learning applications are deeply concerned with the poor interpretability of most of these techniques. To gain some insights in the process of designing data-based ...

Machine learning utilities to help speed up the prototyping process. ... variance-based feature selection uses a dataset dependent manual threshold, which is not optimal between datasets. Usage: ...