Table 4 Performance evaluation of miRNA concentrations in the prediction of plant stress

From: Machine learning provides specific detection of salt and drought stresses in cucumber based on miRNA characteristics

Kernel type	Stress type	Model
		SVM		SVM-GA		SVM-PSO
		MSE	R²	MSE	R²	MSE	R²
Linear	Drought	0.31	0.96	0.21	0.99	0.25	0.98
	Salinity	0.65	0.84	0.62	0.85	0.60	0.86
	Drought + Salinity	0.31	0.96	0.23	0.99	0.24	0.98
Polynomial	Drought	0.59	0.86	0.51	0.89	0.55	0.88
	Salinity	0.68	0.83	0.64	0.85	0.66	0.84
	Drought + Salinity	0.64	0.85	0.59	0.86	0.56	0.87
Gaussian	Drought	0.43	0.92	0.42	0.92	0.39	0.93
	Salinity	0.51	0.89	0.51	0.89	0.46	0.91
	Drought + Salinity	0.58	0.87	0.53	0.88	0.57	0.87
Sigmoid	Drought	0.30	0.96	0.22	0.99	0.24	0.98
	Salinity	0.44	0.91	0.35	0.94	0.42	0.92
	Drought + Salinity	0.47	0.90	0.45	0.91	0.40	0.93

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ISSN: 1746-4811

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