The results in Fig. were obtained by majority vote, where the testing process for a crystal is repeated multiple times (100 in this example). Each time a series of DPs with different randomly chosen zone axes were used, the final decision is the classification with the majority vote. The higher the vote percentage, the higher the algorithm's confidence is in making a final decision. The vote percentages for correct classifications and misclassifications (from Fig. ) are shown in Fig. . The median and mean vote percentages for correct classifications versus misclassifications are 0.99 vs. 0.67, and 0.90 vs. 0.69, respectively. Thus, in these examples, when a correct decision is made, it is associated with a high level of confidence.