Table 5 Performance of two proposed algorithms on four datasets with class imbalance.
From: A novel early diagnostic framework for chronic diseases with class imbalance
Abbreviation | Acc | Re | F1 | G_mean | |
|---|---|---|---|---|---|
T2DM | NLPNN | 0.9232 | 0.0097 | 0.0192 | 0.0985 |
AEPNN (10/10) | 0.8095 | 0.3883 | 0.2402 | 0.5728 | |
CVD | NLPNN | 0.7265 | 0.6847 | 0.7161 | 0.7256 |
AEPNN (10/10) | 0.7279 | 0.6810 | 0.7160 | 0.7267 | |
Fra_Heart | NLPNN | 0.8726 | 0.0614 | 0.1148 | 0.2476 |
AEPNN (6/10) | 0.8219 | 0.2456 | 0.2705 | 0.4731 | |
Pri_diab | NLPNN | 0.9360 | 0.0053 | 0.0106 | 0.0731 |
AEPNN (10/10) | 0.9098 | *0.3048 | 0.3032 | 0.5385 | |
