Datasets
Models
| # | n_cells | patient_ids | class_prop | pt_prop | |
|---|---|---|---|---|---|
| 1 | train_f1 | 410 | ['H1' 'C1 A' 'C5' 'C4' 'H6' 'H3' 'C2'] | [112 298] | [4, 3] |
| 2 | train_f2 | 554 | ['C1 B' 'C1 A' 'C5' 'C4' 'H5' 'H6' 'H3'] | [ 89 465] | [4, 3] |
| 3 | train_f3 | 550 | ['C1 B' 'H1' 'C1 A' 'C5' 'H5' 'H3' 'C2'] | [135 415] | [4, 3] |
| 4 | train_f4 | 576 | ['C1 B' 'H1' 'C1 A' 'C4' 'H5' 'H6' 'C2'] | [135 441] | [4, 3] |
| 5 | train_f5 | 486 | ['C1 B' 'H1' 'C5' 'C4' 'H5' 'H6' 'H3' 'C2'] | [157 329] | [4, 4] |
| 6 | val_f1 | 234 | ['C1 B' 'H5'] | [ 45 189] | [1, 1] |
| 7 | val_f2 | 90 | ['H1' 'C2'] | [68 22] | [1, 1] |
| 8 | val_f3 | 94 | ['C4' 'H6'] | [22 72] | [1, 1] |
| 9 | val_f4 | 68 | ['C5' 'H3'] | [22 46] | [1, 1] |
| 10 | val_f5 | 158 | ['C1 A'] | [158] | [1, 0] |