| { |
| "READY": true, |
| "name": "audiology", |
| "task": "binary", |
| "num_classes": 2, |
| "cat_idx": [ |
| 0, |
| 1, |
| 2, |
| 3, |
| 4, |
| 5, |
| 6, |
| 7, |
| 8, |
| 9, |
| 10, |
| 11, |
| 12, |
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| 15, |
| 16, |
| 17, |
| 18, |
| 19, |
| 20, |
| 21, |
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| 23, |
| 24, |
| 25, |
| 26, |
| 27, |
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| 29, |
| 30, |
| 31, |
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| 33, |
| 34, |
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| 40, |
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| 44, |
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| 49, |
| 50, |
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| 53, |
| 54, |
| 55, |
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| 59, |
| 60, |
| 61, |
| 62, |
| 63, |
| 64, |
| 65, |
| 66, |
| 67, |
| 68 |
| ], |
| "num_samples": 226, |
| "num_features": 69, |
| "imbalance_ratio": 2.9649, |
| "description": "OpenML dataset (ID 999), relation: audiology", |
| "source": "OpenML_Dataset_ID_999", |
| "label": "clinical & healthcare", |
| "split_strategy": "cv" |
| } |
