Table 5 The training time in seconds of each classifier in the used datasets with 12 features
From: Early prediction of hemodialysis complications employing ensemble techniques
Complication | Learning model | ||||||||
|---|---|---|---|---|---|---|---|---|---|
SVCL | SVCR | KNN | DT | MLP | RF | GB | Boosting | Voting | |
Any complication (Hypotension, Headache, Hypertension, Cramps, Chest pain, Vomiting, or Dyspnea) | 0.02 | 0.1 | 0.02 | 0.02 | 6.3 | 0.1 | 0.6 | 1.4 | 0.04 |
Hypotension | 0.02 | 0.2 | 0.02 | 0.01 | 7 | 0.2 | 0.9 | 0.5 | 0.2 |
Hypertension | 0.02 | 0.09 | 0.02 | 0.004 | 7 | 0.6 | 0.8 | 1.4 | 0.06 |
Dyspnea | 0.03 | 0.1 | 0.02 | 0.01 | 6.9 | 0.4 | 0.7 | 1.2 | 0.06 |