Introduction Machine learning (ML) research with classifiers usually emphasizes quantitative evaluation, i.e. measuring accuracy, AUC or some other performance metric. But it's also useful to visualize what classifier algorithms do with different datasets. This is the index page of a "machine learning classifier gallery" which shows the results of numerous experiments on ML algorithms when applied