Precision Measurement for Industry 4.0 Standards towards Solid Waste Classification through Enhanced Imaging Sensors and Deep Learning Model

Table 1

Training result (10-fold crossvalidation) for MobileNetV2 using Softmax classifier.

Fold	Accuracy	Loss	Precision	Recall
Fold 1	91.832	1.605	0.915	0.914
Fold 2	92.574	1.112	0.911	0.910
Fold 3	87.129	1.704	0.912	0.910
Fold 4	85.396	3.124	0.915	0.913
Fold 5	91.584	1.323	0.917	0.916
Fold 6	91.337	1.506	0.915	0.914
Fold 7	89.851	1.831	0.915	0.914
Fold 8	84.901	2.714	0.913	0.912
Fold 9	85.856	2.013	0.906	0.904
Fold 10	88.089	2.052	0.923	0.922
Average	88.855	1.898	0.914	0.913