A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score.

B) Ranking of models grouped by algorithm type, based on their average F1-score across different feature sets, providing insights into relative algorithm effectiveness. C) For each feature set, the top five models (algorithm-feature set combinations) with the highest F1-score are highlighted to identify the best-performing pairs. D) A detailed overview of algorithm characteristics and the performance of models based on these algorithms, including descriptions of their principles, strategies, and associated metrics. (XLSX)