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Baseline model characteristics.
| MODEL | LR | SVM | BERT-BASE | CLINICAL BERT |
|---|---|---|---|---|
| ACCURACY | 57.24 | 57.54 | 63.95 | 63.00 |
| AUC | 59.90 | 60.90 | 69.73 | 69.00 |
| F-1 (MACRO) | 57.20 | 57.48 | 63.89 | 61.00 |
| PRECISION | 57.22 | 57.52 | 63.97 | 64.00 |
| RECALL | 57.21 | 57.50 | 63.90 | 59.00 |
Abbreviations: LR, logistic regression; SVM, support vector machine.
Baseline model metrics for inference of PCS trajectory are shown (metrics for baseline models inferring MCS, average THYCA trajectory are given in the Supplement). Numbers are percentages.
