| Interactors dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.736 | 0.743 |
| Chi² | 0.730 | 0.738 |
| Decision Stump | 0.731 | 0.738 |
| Asymmetric Optimal Prediction | 0.724 | 0.742 |
| Log Odds Ratio | 0.725 | 0.713 |
| Auto-Filter | 0.759 | 0.801 |
| Baseline (no filter method) | 0.717 |
| GO terms dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.753 | 0.744 |
| Chi² | 0.740 | 0.725 |
| Decision Stump | 0.719 | 0.734 |
| Asymmetric Optimal Prediction | 0.725 | 0.750 |
| Log Odds Ratio | 0.721 | 0.708 |
| Auto-Filter | 0.779 | 0.818 |
| Baseline (no filter method) | 0.767 |
| Phenotypes dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.759 | 0.722 |
| Chi² | 0.711 | 0.729 |
| Decision Stump | 0.714 | 0.761 |
| Asymmetric Optimal Prediction | 0.755 | 0.741 |
| Log Odds Ratio | 0.724 | 0.706 |
| Auto-Filter | 0.719 | 0.728 |
| Baseline (no filter method) | 0.741 |
| GenAge/GenDR dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.709 | 0.727 |
| Chi² | 0.740 | 0.751 |
| Decision Stump | 0.757 | 0.742 |
| Asymmetric Optimal Prediction | 0.739 | 0.744 |
| Log Odds Ratio | 0.708 | 0.721 |
| DDFMS | 0.702 | 0.725 |
| Baseline | 0.683 |
| Interactors dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.695 | 0.752 |
| Chi² | 0.661 | 0.722 |
| Decision Stump | 0.689 | 0.704 |
| Asymmetric Optimal Prediction | 0.651 | 0.737 |
| Log Odds Ratio | 0.656 | 0.662 |
| Auto-Filter | 0.656 | 0.688 |
| Baseline (no filter method) | 0.747 |
| GO terms dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.736 | 0.754 |
| Chi² | 0.692 | 0.730 |
| Decision Stump | 0.726 | 0.772 |
| Asymmetric Optimal Prediction | 0.690 | 0.768 |
| Log Odds Ratio | 0.667 | 0.713 |
| Auto-Filter | 0.669 | 0.708 |
| Baseline (no filter method) | 0.765 |
| Phenotypes dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.694 | 0.718 |
| Chi² | 0.660 | 0.716 |
| Decision Stump | 0.695 | 0.701 |
| Asymmetric Optimal Prediction | 0.654 | 0.704 |
| Log Odds Ratio | 0.644 | 0.716 |
| Auto-Filter | 0.644 | 0.688 |
| Baseline (no filter method) | 0.715 |
| GenAge/GenDR dataset | Single filter | Filter ensemble |
|---|---|---|
| Information Gain | 0.653 | 0.690 |
| Chi² | 0.638 | 0.685 |
| Decision Stump | 0.678 | 0.681 |
| Asymmetric Optimal Prediction | 0.640 | 0.720 |
| Log Odds Ratio | 0.617 | 0.690 |
| Auto-Filter | 0.628 | 0.692 |
| Baseline | 0.701 |