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A discussion of the SEATCA methodology is beyond the scope of this study
For SVM, SG and MMS yielded test accuracies about 0.5-1.0 percentage points higher than SS and SNV, while for XGBoost the SG-preprocessed model achieved the highest test accuracy (97.50%), followed by SS (97.16%), with MMS and SNV both at 96.47%, although the absolute differences were modest
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