The results of the leave-p-out cross-validation scheme discussed in Section 3.6, with a focus on predicting trials labeled 'Fail', we achieve 0.74 (ACC), 0. The results with and without the bioactivity feature remain consistent with the cluster-based experiments, with a minor drop in the overall prediction accuracy on excluding Stdval: 0.72 (ACC) for and 0.65 (ACC) for the AdaBoost classifier. While the use of min-median-max values of Stdval achieves a good prediction accuracy, we note a similar performance when the median value is used as a feature, also consistent with our earlier observation.