update default threshold

wtpsplit/train/evaluate.py

@@ -37,7 +37,7 @@ def compute_f1(pred, true):
     )
 
 
-def get_metrics(labels, preds, threshold: float = 0.01):
+def get_metrics(labels, preds, threshold: float = 0.5):
     # Compute precision-recall curve and AUC
     precision, recall, thresholds = sklearn.metrics.precision_recall_curve(labels, preds)
     pr_auc = sklearn.metrics.auc(recall, precision)