Table 4.

F-scores (average and standard deviation) of k-nearest neighbor (k-NN), logistic regression (LR), and support vector machine (SVM) when $t_{mp}=1$ s, $t_{sg}=1$ s and $\tau =1.8$ g are used on EvenT-ML. RBF: radial basis function.

Metrics	k-NN (%)			LR (%)			SVM (%)
	$\mathit{k}=1$	$\mathit{k}=2$	$\mathit{k}=3$	$\mathit{C}={10}^8$	$\mathit{C}={10}^9$	$\mathit{C}={10}^{10}$	Linear	RBF	Polynomial
F-score	92.7 ± 7.9	91.4 ± 11	94 ± 8.8	97.5 ± 3.3	97.6 ± 3.3	97.5 ± 3.2	95.7 ± 8.2	93.5 ± 10.3	94.6 ± 10.3