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Table 2.
Performance of the classification algorithms for the quasar training sample.
| Algorithm | Completeness | Efficiency |
|---|---|---|
| % | % | |
| Random forest | 93.09 | 90.50 |
| Support vector machines | 89.36 | 81.63 |
| Bootstrap aggregation on K-nearest neighbors | 93.36 | 85.97 |
Notes. The statistics are indicated for each subsample. All experiments used the same training and test samples.
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