glowz
87f2756fdf
- Implemented a new script `val_test.py` to analyze classification results from a JSONL file. - Extracted true labels and predicted responses, handling invalid entries gracefully. - Generated a classification report with accuracy metrics and detailed statistics for each category. - Added functionality to export results to CSV and save analysis reports. - Included visualization of confusion matrix and category accuracy distribution. - Ensured dynamic handling of categories based on the input data.
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