Datasets:
| { | |
| "READY": true, | |
| "name": "lymphography", | |
| "task": "binary", | |
| "num_classes": 2, | |
| "cat_idx": [ | |
| 0, | |
| 1, | |
| 2, | |
| 3, | |
| 4, | |
| 5, | |
| 6, | |
| 7, | |
| 10, | |
| 11, | |
| 12, | |
| 13, | |
| 14, | |
| 15, | |
| 16 | |
| ], | |
| "num_samples": 142, | |
| "num_features": 18, | |
| "imbalance_ratio": 1.3279, | |
| "description": "Lymphography (OpenML ID 10), restricted to metastases (1; 81 samples) versus malignant lymph (0; 61 samples). The two normal and four fibrosis cases are excluded. All 18 source features and the source row order are retained. Evaluation uses five stratified outer folds and three stratified inner folds for hyperparameter selection; preprocessing is fitted within training partitions.", | |
| "source": "OpenML_Dataset_ID_10", | |
| "url": "https://www.openml.org/d/10", | |
| "split_strategy": "cv", | |
| "label": "clinical & healthcare", | |
| "target_mapping": { | |
| "0": "malign_lymph", | |
| "1": "metastases" | |
| }, | |
| "sample_metadata_file": "sample_metadata.csv", | |
| "source_manifest_sha256": "32ce25430afe5ac363a3b017285ffbe0b9ffb5b668cbdd296462cce21e69084e", | |
| "curation_protocol": "lymphography_binary_v1", | |
| "source_num_samples": 148, | |
| "excluded_class_counts": { | |
| "normal": 2, | |
| "fibrosis": 4 | |
| } | |
| } |