When analyzing the trade-off between success rate and accuracy in the Golden dataset, a standard benchmark, LocalMapper achieved an accuracy of 100% at a high confidence level, corresponding to a success rate of 53.3%. In contrast, RXNMapper reached an accuracy of 95.1% with a success rate of only 19.7%. Our ensemble strategies on the Golden dataset, Ensemble_1 and Ensemble_2, attained accuracies of 99.47% and 99.69%, with success rates of 71.23% and 67.14%, respectively. The trade-off between success rate and accuracy was more favorable in Ensemble_1 compared to Ensemble_2, LocalMapper, and RXNMapper.