Classification methods for binary (yes/no) tasks often produce a continuously valued score. Machine learning practitioners must perform model selection, calibration, discretization, performance assessment, tuning, and fairness assessment. Such involve examining classifier results, typically using summary statistics manual examination of details. In this paper, we provide an interactive visualiz...