Table 5 Important attribute scores according to the improved random forest model
From: Application of data mining for predicting hemodynamics instability during pheochromocytoma surgery
Attributes | Importance Scores of random forest | Attributes | Importance Scores of random forest | Attributes | Relief-F |
|---|---|---|---|---|---|
Mean Decrease Accuracy | Mean Decrease Gini | Weight of attribute | |||
bmi | 19.3095 | bmi | 16.688 | ctvalue | −2.8871 |
size | 9.6143 | size | 12.2722 | prevma | −3.3417 |
asa | 5.7061 | prevma | 9.5934 | arrhythmia | −4.4444 |
hypertension | 4.6416 | ctvalue | 9.3884 | age | −4.6933 |
ctvalue | 4.6293 | age | 8.0945 | bmi | −6.7295 |
prevma | 1.3311 | hypertension | 2.9614 | size | −9.2895 |
preblood | 0.8616 | asa | 2.3838 | asa | −13.3596 |
arrhythmia | 0.2419 | preblood | 1.5554 | preblood | −19.3992 |
dm | 0.0276 | dm | 1.2103 | hypertension | −22.7188 |
age | −0.4422 | arrhythmia | 0.3524 | dm | −23.1212 |