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| Treatment | Test/Train | Selectivity | Sensitivity |
| Actual | |||
| Test | 0.9934 | 0.9931 | |
| Train | 1 | 1 | |
| Post | |||
| Test | 0.5263 | 0.5018 | |
| Train | 1 | 1 | |
| Pre | |||
| Test | 0.5291 | 0.5016 | |
| Train | 0.5228 | 0.5024 |
Bagging results for support vector machine classification accuracy using 6 features and resampling training/testing data 1000 times. Treatment refers to the labeling of the data where ‘Pre’ and ‘Post’ refer to if the data labels were shuffled before or after vector training.
