| # Tabular max-F1 conversion | |
| | dataset | classifier | C | n | tau | F1val@0.5 | F1val@tau | F1test@0.5 | F1test@tau | F1test@conv0.5 | exact | delta | | |
| |---|---|---:|---:|---:|---:|---:|---:|---:|---:|---|---:| | |
| | breast_cancer | logreg | 2 | 143 | 0.4819 | 0.9888 | 0.9944 | 0.9775 | 0.9775 | 0.9775 | True | 0.00% | | |
| | breast_cancer | random_forest | 2 | 143 | 0.5400 | 0.9551 | 0.9714 | 0.9551 | 0.9492 | 0.9492 | True | 0.00% | | |
| | breast_cancer | hist_gb | 2 | 143 | 0.5280 | 0.9832 | 0.9832 | 0.9609 | 0.9609 | 0.9609 | True | 0.00% | | |
| | breast_cancer | gaussian_nb | 2 | 143 | 0.9984 | 0.9392 | 0.9655 | 0.9497 | 0.9425 | 0.9425 | True | 0.00% | | |
| | breast_cancer | knn | 2 | 143 | 0.6655 | 0.9674 | 0.9724 | 0.9727 | 0.9600 | 0.9600 | True | 0.00% | | |
| | wine | logreg | 3 | 45 | 0.2684-0.8849 | 0.9791 | 1.0000 | 0.9855 | 0.8978 | 0.8978 | True | 2.22% | | |
| | wine | random_forest | 3 | 45 | 0.4067-0.6333 | 0.9791 | 0.9797 | 0.9795 | 0.9650 | 0.9650 | True | 0.00% | | |
| | wine | hist_gb | 3 | 45 | 0.0489-0.9974 | 0.9582 | 0.9797 | 0.9565 | 0.8885 | 0.8885 | True | 0.00% | | |
| | wine | gaussian_nb | 3 | 45 | 0.9957-0.9990 | 1.0000 | 1.0000 | 0.9337 | 0.9067 | 0.9067 | True | 0.00% | | |
| | wine | knn | 3 | 45 | 0.3207-0.8246 | 0.9374 | 0.9791 | 1.0000 | 0.9369 | 0.9369 | True | 0.00% | | |
| | iris | logreg | 3 | 38 | 0.4077-0.8893 | 0.9733 | 1.0000 | 0.9200 | 0.8806 | 0.8806 | True | 0.00% | | |
| | iris | random_forest | 3 | 38 | 0.2833-0.9767 | 0.9733 | 1.0000 | 0.8932 | 0.8006 | 0.8006 | True | 0.00% | | |
| | iris | hist_gb | 3 | 38 | 0.0140-0.9999 | 0.9733 | 1.0000 | 0.8932 | 0.8994 | 0.8994 | True | 0.00% | | |
| | iris | gaussian_nb | 3 | 38 | 0.3040-1.0000 | 0.9733 | 1.0000 | 0.9200 | 0.9165 | 0.9165 | True | 0.00% | | |
| | iris | knn | 3 | 38 | 0.3729-1.0000 | 0.9733 | 0.9743 | 0.9466 | 0.8561 | 0.8561 | True | 0.00% | | |
| | digits | logreg | 10 | 450 | 0.0748-0.8163 | 0.9605 | 0.9769 | 0.9606 | 0.9571 | 0.9571 | True | 2.89% | | |
| | digits | random_forest | 10 | 450 | 0.2467-0.5300 | 0.9111 | 0.9787 | 0.9229 | 0.9698 | 0.9698 | True | 13.56% | | |
| | digits | hist_gb | 10 | 450 | 0.3272-0.9835 | 0.9763 | 0.9830 | 0.9703 | 0.9630 | 0.9630 | True | 0.22% | | |
| | digits | gaussian_nb | 10 | 450 | 0.0000-1.0000 | 0.8205 | 0.8706 | 0.8349 | 0.8686 | 0.8686 | True | 0.00% | | |
| | digits | knn | 10 | 450 | 0.1430-0.9395 | 0.9351 | 0.9596 | 0.9463 | 0.9390 | 0.9390 | True | 3.78% | | |
| | synthetic_5 | logreg | 5 | 750 | 0.2204-0.4871 | 0.7556 | 0.7853 | 0.7367 | 0.7467 | 0.7467 | True | 8.80% | | |
| | synthetic_5 | random_forest | 5 | 750 | 0.3033-0.4267 | 0.7990 | 0.8749 | 0.7829 | 0.8454 | 0.8454 | True | 27.07% | | |
| | synthetic_5 | hist_gb | 5 | 750 | 0.1429-0.7038 | 0.8862 | 0.8953 | 0.8775 | 0.8859 | 0.8859 | True | 0.93% | | |
| | synthetic_5 | gaussian_nb | 5 | 750 | 0.1923-0.4530 | 0.7328 | 0.7647 | 0.7231 | 0.7335 | 0.7335 | True | 9.33% | | |
| | synthetic_5 | knn | 5 | 750 | 0.3977-0.4091 | 0.7884 | 0.8427 | 0.7855 | 0.8184 | 0.8184 | True | 25.33% | | |
| | synthetic_20 | logreg | 20 | 1000 | 0.1112-0.3421 | 0.2882 | 0.4590 | 0.2670 | 0.3836 | 0.3836 | True | 65.20% | | |
| | synthetic_20 | random_forest | 20 | 1000 | 0.1167-0.1867 | 0.0133 | 0.6046 | 0.0040 | 0.5415 | 0.5415 | True | 99.80% | | |
| | synthetic_20 | hist_gb | 20 | 1000 | 0.1264-0.8252 | 0.5404 | 0.5865 | 0.5115 | 0.5199 | 0.5199 | True | 20.00% | | |
| | synthetic_20 | gaussian_nb | 20 | 1000 | 0.0597-0.4177 | 0.3456 | 0.4583 | 0.3424 | 0.3949 | 0.3949 | True | 50.80% | | |
| | synthetic_20 | knn | 20 | 1000 | 0.1365-0.2667 | 0.0490 | 0.4946 | 0.0797 | 0.4332 | 0.4332 | True | 95.30% | | |
Xet Storage Details
- Size:
- 3.5 kB
- Xet hash:
- ae7c1225706a02ec82fd229c50695c8c3e50ae91d955dc67ba40004ef1cb37b1
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.