Table 5 Optimal results of Models 4 and 5 on the validation set
From: An artificial intelligence-based risk prediction model of myocardial infarction
Model name | Construction method | Optimal Vote difference | Number of optimal feature | Negative training n sample | Positive training n sample | Negative validation n sample | Positive validation n sample | Validation accuracy | Validation F1 score |
|---|---|---|---|---|---|---|---|---|---|
Model4 | Easy ensemble | 15 | 45 | 175,109 | 10,714 | 43,261 | 2732 | 0.95 | 0.78 |
Model5 | W-easy ensemble | 9 | 45 | 175,109 | 10,714 | 43,261 | 2732 | 0.95 | 0.78 |