Dmitry Chaplinsky

I'm not sure I know what I am doing, therefore I'm presenting it to you.

```python import xgboost as xgb from sklearn.metrics import ( confusion_matrix, accuracy_score, precision_score, recall_score, roc_auc_score, ) def train_matcher(pairs_file: PathLike) -> None: pairs = [] for pair in read_pairs(pairs_file): if pair.judgement ==...