Table 3.
Predictive performance on WPBC dataset
Dataset | Model | KNN | RF | SVR | Ridge | Lasso | MTLasso | MLP-4 | GATAN |
---|---|---|---|---|---|---|---|---|---|
WPBC | MSE | 1139.06 | 1189.69 | 1007.50 | 1184.38 | 1000.94 | 990.63 | 941.88 | 860.63 |
(200.05) | (273.34) | (153.95) | (253.02) | (144.57) | (163.17) | (145.68) | (65.49) | ||
EVS | -0.22 | -0.17 | 0.00 | -0.21 | -0.01 | 0.01 | 0.00 | -0.01 | |
(0.15) | (0.17) | (0.01) | (0.28) | (0.15) | (0.14) | (0.01) | (0.02) | ||
MAE | 25.48 | 28.00 | 27.16 | 27.78 | 24.58 | 24.16 | 27.09 | 23.86 | |
(4.94) | (3.31) | (6.08) | (4.27) | (1.32) | (3.30) | (4.88) | (0.79) |
The best performance is bolded