Datasets:
| { | |
| "READY": true, | |
| "name": "audiology", | |
| "task": "binary", | |
| "num_classes": 2, | |
| "cat_idx": [ | |
| 0, | |
| 1, | |
| 2, | |
| 3, | |
| 4, | |
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| 61, | |
| 62, | |
| 63, | |
| 64, | |
| 65, | |
| 66, | |
| 67, | |
| 68 | |
| ], | |
| "num_samples": 199, | |
| "num_features": 69, | |
| "imbalance_ratio": 3.5227, | |
| "description": "OpenML Audiology ID 999, version 2: binary classification of the original cochlear_age diagnosis (P, encoded 1) versus all other source diagnoses (N, encoded 0). The P/N mapping is verified against the row-aligned original multiclass release, OpenML ID 7. The negative class includes other hearing disorders and normal ears. Exact duplicate feature rows with agreeing labels are collapsed before splitting; missing categorical measurements are preserved. Evaluation uses five stratified outer folds and three-fold inner cross-validation for hyperparameter selection.", | |
| "source": "OpenML_Dataset_ID_999", | |
| "label": "clinical & healthcare", | |
| "split_strategy": "cv", | |
| "target_mapping": { | |
| "0": "other source diagnoses (N)", | |
| "1": "cochlear_age (P)" | |
| }, | |
| "url": "https://www.openml.org/d/999" | |
| } | |