Table 2.

Prediction performance of the models with 70 : 30 training samples and test samples ratio as the ability to identify the positive outcome.

			All features				Target and reference p2p amplitude and onset latency			Target and reference p2p amplitude, onset latency, and AUC
	>200% method	>50% method	Fine KNN	Weighted KNN	Ensemble Subspace KNN	Fine KNN	Weighted KNN	Ensemble Bagged Trees	Ensemble Subspace KNN	Fine KNN	Weighted KNN	Ensemble Bagged Trees	Ensemble Subspace KNN
True positive	25.00%	83.33%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	91.67%
True negative	75.00%	75.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%
False positive	25.00%	25.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%	100.00%
False negative	75.00%	16.67%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	0.00%	8.33%