HE
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | HE | Accuracy39.3 | 38 | |
| Code Correctness Evaluation | HE-JA | F1 Score72.9 | 25 | |
| Code Correctness Evaluation | HE-CPP | F1 Score66.3 | 25 | |
| Classification | HE 50% corrupted features noise | Accuracy39.3 | 21 | |
| Feature Selection | HE random extraneous features | Precision1 | 17 | |
| Feature Selection | HE with random extraneous features | ROC AUC100 | 17 | |
| Classification | HE 75% corrupted features noise | Accuracy38.6 | 10 | |
| Tabular Data Clustering | HE | ARI0.1563 | 8 | |
| Constituency Parsing | he Hebrew | LF Score92.99 | 7 | |
| Dependency Parsing | he Hebrew | LAS91.34 | 7 | |
| Code Generation | HE | HE Score77.44 | 4 | |
| Clustering | He | Accuracy85.3 | 3 |
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