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 ...

The example included generating a dataset, picking a suitable machine learning model for the dataset, constructing, configuring and training it, and finally interpreting the results i.e. the confusion ...

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: ...