Artificial intelligence classification model for macular degeneration images: a robust optimization framework for residual neural networks

Table 5 Accuracy of uniform experimental results obtained using training data

Hyperparameter combinations	Results
Hyperparameter combinations	Accuracy in the 1st experiment	Accuracy in the 2nd experiment	Accuracy in the 3rd experiment	Mean	Standard deviation	SNR
1	0.9340	0.9338	0.9378	0.9352	0.002254	23.76
2	0.9586	0.9463	0.9602	0.9550	0.007606	26.81
3	0.9388	0.9365	0.9398	0.9383	0.001692	24.20
4	0.9678	0.9780	0.9805	0.9754	0.006728	31.87
5	0.9567	0.9551	0.9541	0.9553	0.001312	26.99
6	0.9404	0.9398	0.9418	0.9406	0.001026	24.53
7	0.9557	0.9557	0.9558	0.9557	0.000058	27.07
8	0.9487	0.9544	0.9449	0.9493	0.004782	25.86
9	0.9408	0.9406	0.9408	0.9407	0.000116	24.54
10	0.9528	0.9722	0.9710	0.9653	0.010871	28.79
11	0.9536	0.9527	0.9556	0.9539	0.001484	26.73
12	0.9725	0.9761	0.9662	0.9716	0.005011	30.80

ISSN: 1471-2105