Table 1 Performance indicators of different classifiers on the breast cancer diagnostic and cardiovascular disease datasets
From: Disease prediction via Bayesian hyperparameter optimization and ensemble learning
Classifier | Indicator | |||||
|---|---|---|---|---|---|---|
Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) | AUC | KS Value | |
XGBoost_BC | 94.74 (94.40,1.65) | 92.19 (93.10,3.25) | 93.65 (91.83,3.68) | 92.91 (92.38,2.29) | 0.9857 (0.9845,0.76) | 0.9061 |
LightGBM_BC | 94.74 (94.05,1.69) | 92.19 (92.65,3.49) | 93.65 (91.26,3.61) | 92.91 (92.00,2.33) | 0.9821 (0.9835,0.80) | 0.9087 |
GBDT_BC | 94.15 (94.72,1.59) | 90.77 (94.41,3.24) | 93.65 (92.79,2.21) | 92.19 (92.96,2.20) | 0.9856 (0.9869,0.66) | 0.8968 |
LR_BC | 92.40 (93.64,1.62) | 89.06 (92.77,3.15) | 90.48 (90.09,3.42) | 89.76 (91.25,2.19) | 0.9825 (0.9847,0.58) | 0.8796 |
RF_BC | 92.40 (91.81,1.94) | 90.32 (90.24,3.64) | 88.89 (87.77,4.67) | 89.60 (88.93,2.78) | 0.9710 (0.9757,0.94) | 0.8690 |
BPNN_BC | 89.47 (92.86,1.85) | 89.47 (91.64,4.18) | 80.95 (88.80,3.67) | 85.00 (90.23,2.56) | 0.9669 (0.9778,0.92) | 0.8439 |
DT_BC | 87.72 (90.75,1.83) | 90.38 (86.76,3.84) | 74.60 (88.53,4.92) | 81.74 (87.41,2.80) | 0.9314 (0.9500,1.53) | 0.6997 |
XGBoost_CVD | 73.50 (73.51,0.27) | 75.80 (75.55.0.49) | 69.54 (69.53,0.51) | 72.54 (72.44,0.30) | 0.8044 (0.8023,0.26) | 0.4733 |
LightGBM_CVD | 73.53 (73.56,0.26) | 75.38 (75.82,0.47) | 70.40 (69.17,0.60) | 72.81 (72.32,0.32) | 0.8042 (0.8023,0.26) | 0.4762 |
GBDT_CVD | 73.56 (73.51,0.27) | 75.70 (75.60,0.49) | 69.90 (69.43,0.58) | 72.68 (72.38,0.33) | 0.8041 (0.8023,0.25) | 0.4746 |
LR_CVD | 72.32 (71.92,0.41) | 74.90 (74.02,0.72) | 67.69 (67.50,0.54) | 71.11 (70.62,0.40) | 0.7869 (0.7829,0.38) | 0.4503 |
RF_CVD | 73.55 (73.51,0.27) | 75.98 (76.02,0.72) | 69.39 (68.70,0.60) | 72.54 (72.17,0.32) | 0.8026 (0.8012,0.26) | 0.4717 |
BPNN_CVD | 72.85 (72.81,0.31) | 73.07 (73.73,1.11) | 72.96 (70.98,1.79) | 73.01 (72.28,0.53) | 0.7945 (0.7917,0.28) | 0.4686 |
DT_CVD | 73.26 (73.12,0.17) | 76.45 (76.79,0.86) | 67.72 (66.42,1.33) | 71.83 (71.22,0.48) | 0.7954 (0.7942,0.30) | 0.4667 |