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CoEPrA 2006
Comparative Evaluation of Prediction Algorithms
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Results for Classification Problem 4
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Winner: Gavin Cawley (prediction)
with MCC = 0.3972.
| Rank | Group | Results | TP | TN | FP | FN | Se | Sp | Ac | MCC | AUROC |
| 1 | Gavin Cawley | Prediction | 13 | 73 | 19 | 6 | 0.6842 | 0.7935 | 0.7748 | 0.3972 | 0.7388 |
| 2 | Walter Knapp | Prediction | 10 | 77 | 15 | 9 | 0.5263 | 0.8370 | 0.7838 | 0.3276 | 0.6816 |
| 3 | Levon Budagyan | Prediction | 8 | 75 | 17 | 11 | 0.4211 | 0.8152 | 0.7477 | 0.2130 | 0.6181 |
| 4 | Scott Oloff | Prediction | 5 | 83 | 9 | 14 | 0.2632 | 0.9022 | 0.7928 | 0.1876 | 0.5827 |
| 5 | Hendrik Blockeel | Prediction | 3 | 87 | 5 | 16 | 0.1579 | 0.9457 | 0.8108 | 0.1508 | 0.5518 |
| 6 | Venkat Mathura | Prediction | 5 | 80 | 12 | 14 | 0.2632 | 0.8696 | 0.7658 | 0.1388 | 0.5664 |
| 7 | Artem Cherkasov | Prediction | 6 | 76 | 16 | 13 | 0.3158 | 0.8261 | 0.7387 | 0.1341 | 0.5709 |
| 8 | Tom Kiehl | Prediction | 5 | 78 | 14 | 14 | 0.2632 | 0.8478 | 0.7477 | 0.1110 | 0.5555 |
| 9 | David Farrelly | Prediction | 9 | 61 | 31 | 10 | 0.4737 | 0.6630 | 0.6306 | 0.1073 | 0.5684 |
| 10 | Matt Segall | Prediction | 4 | 81 | 11 | 15 | 0.2105 | 0.8804 | 0.7658 | 0.1002 | 0.5455 |
| 11 | Reiji Teramoto | Prediction | 5 | 77 | 15 | 14 | 0.2632 | 0.8370 | 0.7387 | 0.0981 | 0.5501 |
| 12 | Wit Jakuczun | Prediction | 5 | 77 | 15 | 14 | 0.2632 | 0.8370 | 0.7387 | 0.0981 | 0.5501 |
| 13 | Mehdi Jalali Heravi | Prediction | 5 | 73 | 19 | 14 | 0.2632 | 0.7935 | 0.7027 | 0.0518 | 0.5283 |
| 14 | Alexander Zelikovsky | Prediction | 0 | 92 | 0 | 19 | 0.0000 | 1.0000 | 0.8288 | 0.0000 | 0.5000 |
| 15 | Fatih Amasyali | Prediction | 1 | 85 | 7 | 18 | 0.0526 | 0.9239 | 0.7748 | -0.0342 | 0.4883 |
| 16 | Wuju Li | Prediction | 16 | 7 | 85 | 3 | 0.8421 | 0.0761 | 0.2072 | -0.1076 | 0.4591 |
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