Table 4

Comparison of CV performance results between RF and NN models for Offices

Offices models
Evaluation metricRFNN
OSCWBIMBOSCWBIMB
CV score0.84 ± 0.030.82 ± 0.030.84 ± 0.030.81 ± 0.040.81 ± 0.030.81 ± 0.02
Recall – 00.75 ± 0.220.85 ± 0.210.75 ± 0.220.85 ± 0.210.85 ± 0.210.05 ± 0.10
Recall – 10.70 ± 0.050.77 ± 0.070.51 ± 0.070.81 ± 0.060.81 ± 0.060.36 ± 0.07
Recall – 20.87 ± 0.040.83 ± 0.040.92 ± 0.040.80 ± 0.040.80 ± 0.030.94 ± 0.03
Precision - M0.70 ± 0.060.71 ± 0.080.76 ± 0.090.66 ± 0.070.71 ± 0.080.46 ± 0.04
Precision - 00.58 ± 0.180.63 ± 0.220.75 ± 0.220.49 ± 0.160.67 ± 0.210.05 ± 0.10
Precision - 10.56 ± 0.080.52 ± 0.060.62 ± 0.120.51 ± 0.080.48 ± 0.060.46 ± 0.07
Precision - 20.95 ± 0.020.97 ± 0.020.90 ± 0.010.98 ± 0.010.97 ± 0.010.87 ± 0.01
F1 score- M0.71 ± 0.060.74 ± 0.080.73 ± 0.080.70 ± 0.080.73 ± 0.080.45 ± 0.03
F1 score- 00.62 ± 0.170.70 ± 0.210.73 ± 0.210.61 ± 0.170.73 ± 0.200.05 ± 0.10
F1 score- 10.61 ± 0.060.61 ± 0.050.54 ± 0.060.62 ± 0.070.60 ± 0.060.39 ± 0.05
F1 score- 20.90 ± 0.020.89 ± 0.020.91 ± 0.020.88 ± 0.030.88 ± 0.020.90 ± 0.01
Roc AUC - M0.93 ± 0.040.93 ± 0.050.91 ± 0.040.89 ± 0.080.90 ± 0.080.81 ± 0.04
Roc AUC - 00.98 ± 0.030.98 ± 0.030.97 ± 0.040.91 ± 0.120.92 ± 0.110.95 ± 0.06
Roc AUC - 10.90 ± 0.020.89 ± 0.040.91 ± 0.020.86 ± 0.030.87 ± 0.030.86 ± 0.03
Roc AUC - 20.94 ± 0.020.94 ± 0.020.94 ± 0.020.92 ± 0.020.92 ± 0.020.91 ± 0.02
Source(s): Authors' own work

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