Left: TPR (solid line) and CR (dashed line) of our methodology when applied on synthetic data sets with and without missing values (red and blue lines, respectively). Black dots show the TPR and CR reported by Sarro et al. (2014) for their non-missing values model. Right: accuracy and precision as a function of probability threshold for our classifier when applied on synthetic data with missing values. The highest accuracy is obtained at p_t = 0.84 (red dot). In both panels, the grey areas show the maximum deviations from the mean of the results of the five missing-values synthetic data sets.