LLama 3.3 70B

[RosePY]

No description provided.

[github-actions]

🏆 Submission Scored

🎯 GNN Challenge Scoring Script
============================================================

📂 Submission: /tmp/pr_predictions.csv
   Ground truth: data/test_labels.csv

============================================================
  Submission Evaluation
============================================================

📊 Basic Metrics:
  Accuracy:           0.6126
  Precision:          0.0000
  Recall:             0.0000

🎯 Difficult Metrics (Recommended):
  Macro F1-Score:     0.3799    ← (equal weight per class)
  Balanced Accuracy:  0.5000  ← (avg per-class recalls)
  MCC:                0.0000          ← (strictest metric)

📈 Other F1 Variants:
  F1 Binary:          0.0000
  F1 Weighted:        0.4654

🔍 Clinical Metrics:
  Sensitivity (TPR):  0.0000
  Specificity (TNR):  1.0000
  Youden's Index:     0.0000
  Cohen's Kappa:      0.0000

🔗 Confusion Matrix:
  TN= 68  FP=  0
  FN= 43  TP=  0

📊 Class Distribution (y_true):
  Class 0: 68 samples
  Class 1: 43 samples
============================================================

Check the leaderboard for rankings!