Table 2.

Performance of different machine learning methods on diatom composition.

	Parameters	Main dataset					Validation dataset
		Sen	Spc	Acc	MCC	AUROC	Sen	Spc	Acc	MCC	AUROC
SVM	g = 0.01, c = 15, j = 2	90.38	86.43	88.40	0.77	0.93	85.33	96.67	91.00	0.83	0.97
Random Forest	Ntree = 30	88.49	88.49	88.49	0.77	0.94	85.33	82.00	83.67	0.67	0.93
SMO	g = 0.1, c = 4	86.25	89.00	87.63	0.75	0.87	86.67	84.00	85.33	0.71	0.85
J48	c = 0.3, m = 1	82.47	81.10	81.79	0.64	0.81	85.33	81.33	83.33	0.67	0.82
Naive Bayes	Default	71.65	70.45	71.05	0.42	0.78	72.67	66.67	69.67	0.39	0.77