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. 2020 Apr 23;8(2):107. doi: 10.3390/healthcare8020107

Table 5.

The comparative performance of DenseNet-121 with Mish and ReLU using different optimizer methods.

Activation Function&
Optimizer Methods
Accuracy
%
Precision
%
Recall
%
F1 Measure
%
Training Time
Nadam & ReLU 98.62 98.56 98.69 98.61 123 min 10 sec
Nadam & Mish 98.88 98.83 98.91 98.87 123 min 29 sec
Adamax & ReLU 95.69 95.65 95.9 95.68 118 min 27 sec
Adamax & Mish 96.38 96.32 96.54 96.37 118 min 39 sec
Adam & ReLU 95.09 95.02 95.22 95.08 119 min 40 sec
Adam & Mish 95.43 95.37 95.59 95.42 120 min 17 sec
Adadelta & ReLU 91.82 91.75 91.83 91.78 116 min 22 sec
Adadelta & Mish 92.34 92.27 92.34 92.3 116 min 47 sec
RMSprop & ReLU 89.15 89.12 89.05 89.08 114 min 29 sec
RMSprop & Mish 91.65 91.59 91.62 91.6 115 min 09 sec
Adagrad & ReLU 85.19 85.29 84.92 85.04 117 min 48 sec
Adagrad & Mish 88.03 88.07 87.85 87.93 118 min 05 sec
SGD & ReLU 81.06 81.12 80.74 80.86 123 min 45 sec
SGD & Mish 82.53 82.69 82.15 82.31 123 min 57 sec