Lung Cancer Diagnosis Based on an ANN Optimized by Improved TEO Algorithm

Table 3

The performance analysis of the studied algorithm.

Algorithm
LSO [28]	Min	11.428	0.035	0.022	1.327
	Max	4.284e3	6.534e2	0.679e5	6.192
	Mean	2.168e3	1.295e2	2.195e4	3.084
	Std	5.153e2	21.931	3.645e4	4.339
CSA [29]	Min	8.3161	0.028	7.65e − 1	1.446
	Max	492.57	2.193	4.15e − 1	11.28
	Mean	120.75	1.137	5.17e − 1	8.294
	Std	69.253	0.066	1.01e − 1	4.495
MVO [30]	Min	9.192	4.168e − 3	8.195e − 5	0.957
	Max	1.15 e2	4.279e − 2	7.086e − 4	1.492
	Mean	22.49	9.153e − 3	1.517e − 4	1.137
	Std	38.76	1.097e − 3	3.349e − 5	0.846
SAR [31]	Min	0.716	4.82e − 16	8.16e − 7	1.651
	Max	11.05	5.61e − 14	2.94e − 6	3.287
	Mean	4.13	5.29e − 15	1.19e − 6	0.201
	Std	3.62	2.46e − 14	4.36e − 7	0.146
TEO [32]	Min	0.356	9.208e − 21	4.192e − 9	3.062e − 9
	Max	15.349	11.193e − 19	5.930e − 8	9.836e − 8
	Mean	9.3462	34.255e − 19	3.591e − 8	3.491e − 8
	Std	2.896	3.673e − 19	5.086e − 9	2.038e − 9
ITEO	Min	0.00	8.376e − 22	6.956e − 10	6.763e − 13
	Max	4.207	3.205e − 21	3.907e − 9	6.358e − 12
	Mean	3.164	1.343e − 21	1.2084e − 9	1.928e − 12
	Std	1.237	2.934e − 21	3.666e − 10	1.117e − 13