Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning

Table 5

Average accuracy and standard deviation of each learning algorithm.

Datasets	Learning algorithm	Learning’s average accuracy (%) ± standard deviation	Test’s average accuracy (%) ± standard deviation
Banknote authentication	DNM + BP	63.06 ± 21.63	62.62 ± 21.43
	DNM + BBO	100 ± 0.00	99.43 ± 0.39
	DNM + PSO	99.84 ± 0.21	98.45 ± 0.79
	DNM + GA	94.11 ± 1.95	92.95 ± 2.42
	DNM + PBIL	93.11 ± 1.06	92.43 ± 2.01
	DNM + CSO	99.94 ± 0.08	99.03 ± 0.42
	DNM + DE	92.05 ± 1.27	91.25 ± 1.86
	DNM + jSO	99.94 ± 0.29	99.39 ± 0.36
Breast cancer	DNM + BP	90.67 ± 3.00	89.84 ± 3.12
	DNM + BBO	98.92 ± 0.35	95.97 ± 1.42
	DNM + PSO	97.61 ± 0.58	95.25 ± 1.81
	DNM + GA	97.25 ± 0.64	95.71 ± 1.38
	DNM + PBIL	96.19 ± 0.64	95.10 ± 1.42
	DNM + CSO	98.48 ± 0.34	96.14 ± 1.23
	DNM + DE	95.75 ± 0.61	95.25 ± 1.67
	DNM + jSO	97.73 ± 0.68	95.83 ± 1.21
Car evaluation	DNM + BP	63.06 ± 21.63	62.62 ± 21.43
	DNM + BBO	100 ± 0.00	99.43 ± 0.39
	DNM + PSO	99.84 ± 0.20	98.45 ± 0.79
	DNM + GA	94.11 ± 1.95	92.95 ± 2.42
	DNM + PBIL	93.11 ± 1.06	92.43 ± 2.01
	DNM + CSO	99.94 ± 0.08	99.03 ± 0.42
	DNM + DE	92.05 ± 1.27	91.25 ± 1.86
	DNM + jSO	96.93 ± 1.07	96.49 ± 1.21
Diabetic retinopathy	DNM + BP	38.66 ± 1.05	37.99 ± 2.44
	DNM + BBO	97.49 ± 0.81	94.85 ± 1.75
	DNM + PSO	90.63 ± 2.30	88.72 ± 3.84
	DNM + GA	87.72 ± 2.84	85.64 ± 3.08
	DNM + PBIL	85.42 ± 2.33	84.21 ± 3.22
	DNM + CSO	94.29 ± 1.41	92.22 ± 2.21
	DNM + DE	82.96 ± 2.48	83.10 ± 2.79
	DNM + jSO	87.49 ± 3.89	86.28 ± 4.90