Table 5
Results for SVM classification.
| Flat prior | ||
| Absolute | ||
| bhb | other | |
| BHB | 988 | 255 |
| OTHER | 305 | 913 |
| Percent | ||
| bhb | other | |
| BHB | 79.5% | 20.5% |
| OTHER | 25.0% | 75.0% |
| Completeness | Contamination | |
| BHB | 0.795 | 0.396 |
|
|
||
| Simple prior | ||
| Absolute | ||
| bhb | other | |
| BHB | 836 | 407 |
| OTHER | 188 | 1030 |
| Percent | ||
| BHB | 67.3% | 32.7% |
| OTHER | 15.4% | 84.6% |
| Completeness | Contamination | |
| BHB | 0.673 | 0.323 |
|
|
||
| With 2d prior | ||
| Absolute | ||
| bhb | other | |
| BHB | 912 | 331 |
| OTHER | 187 | 1031 |
| Percent | ||
| BHB | 73.4% | 26.6% |
| OTHER | 15.4% | 84.6% |
| Completeness | Contamination | |
| BHB | 0.73 | 0.303 |
Notes. Top section: confusion matrix showing results of an SVM classification without priors and with a threshold of P(BHB) > 0.5, also the completeness and contamination in the output BHB sample, corrected for the expected class imbalance. Middle section: the same quantities obtained applying the simple prior probability for all sources. Bottom section: the confusion matrix and completeness and contamination found when applying the prior as a function of g and latitude.
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