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

Table 3.

The comparative performance of MobileNet with Mish and ReLU using different optimizer methods.

Activation Function and
Optimizer Methods
Accuracy
%
Precision
%
Recall
%
F1 Measure
%
Training Time
Nadam & ReLU 90.51 90.5 90.53 90.5 58 min 31 sec
Nadam & Mish 93.28 93.24 93.46 93.27 58 min 48 sec
Adamax & ReLU 87.17 87.31 86.9 87.04 58 min 05 sec
Adamax & Mish 90.44 90.42 90.64 90.43 58 min 18 sec
Adam & ReLU 86.91 87.19 86.56 86.75 58 min 27 sec
Adam & Mish 89.93 89.93 90.15 89.91 58 min 38 sec
Adadelta & ReLU 83.56 84.11 83.03 83.26 56 min 20 sec
Adadelta & Mish 87.6 87.54 87.73 87.57 56 min 34 sec
RMSprop & ReLU 83.04 83.68 82.47 82.71 55 min 47 sec
RMSprop & Mish 85.37 85.33 85.52 85.34 56 min 07 sec
Adagrad & ReLU 79.94 81.4 79.06 79.29 56 min 36 sec
Adagrad & Mish 80.89 80.8 80.94 80.84 57 min 03 sec
SGD & ReLU 74.48 75.93 73.48 73.52 59 min 27 sec
SGD & Mish 76.59 76.68 76.82 76.57 59 min 48 sec