A key (and often default) metric used to both train and evaluate classifiers is accuracy — the fraction of correctly classified observations. But when one class is rare, accuracy can be misleading ...

Baselines are typically generated independently for each dataset using very simple models. Their role is to set the minimum level of acceptable performance and help with comparing relative ...