Table 4 Performance metrics for classifiers across four stages, based on statistical features.

Kernel	Stage	TN	TP	FN	FP	Accuracy	Sensitivity	Specificity
Linear	Antracnose	6523	2561	15	10	0.997	0.994	0.998
	Healthy	6630	2461	13	5	0.998	0.994	0.999
	Red rust	6033	3051	3	21	0.997	0.999	0.996
	Yellow rust	8103	999	6	1	0.999	0.994	0.999
RBF	Antracnose	6509	254	35	24	0.991	0.878	0.996
	Healthy	6617	2444	30	18	0.994	0.997	0.987
	Red rust	6011	3046	8	44	0.994	0.997	0.992
	Yellow rust	8103	991	14	1	0.998	0.986	0.999
Quadratic	Antracnose	6470	2489	87	63	0.983	0.966	0.990
	Healthy	6628	2404	70	7	0.991	0.971	0.998
	Red rust	5848	3054	0	207	0.977	1	0.965
	Yellow rust	8104	885	120	0	0.986	0.880	1
Cubic	Antracnose	6309	2512	64	224	0.968	0.975	0.965
	Healthy	6388	2384	90	217	0.966	0.963	0.967
	Red rust	5939	2625	429	116	0.940	0.859	0.980
	Yellow rust	8075	972	33	29	0.993	0.967	0.996

Quick links

Search