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. 2022 Sep 6;19(18):11193. doi: 10.3390/ijerph191811193

Table 2.

Comparison of IOU and AP though three different datasets.

Measurements Dataset 1 Dataset 2 Dataset 3
Average-IOU (%) 89.32 87.85 85.31
Maximum average-precision (AP) (%) Nine classifiers SVMSF 91.47 89.82 80.72
SVMRBF 90.41 90.45 90.05
SVMPF 91.38 91.40 78.09
GNB 89.22 90.88 84.44
MLP 90.90 92.34 81.19
KNN 89.87 84.48 75.87
RN 94.90 91.22 86.47
DT 68.63 59.81 46.43
EDT 79.99 83.98 80.56
Maximum AP-ensemble learning (%) 92.31 92.31 100.00