Download evaluation/evaluation_summary.json from EHTB/erp-classifier-dataset: direct link, hf CLI and curl.
- Browser
- Download file 1.86 kB
-
https://huggingface.co/datasets/EHTB/erp-classifier-dataset/resolve/main/evaluation/evaluation_summary.json
- Command line
-
hf download hf://datasets/EHTB/erp-classifier-dataset/evaluation/evaluation_summary.json
-
curl -L -o evaluation_summary.json https://huggingface.co/datasets/EHTB/erp-classifier-dataset/resolve/main/evaluation/evaluation_summary.json
1.86 kB
| { | |
| "accuracy": 0.9084507042253521, | |
| "weighted_f1": 0.905563526593375, | |
| "classification_report": { | |
| "GL_1400_IT_HARDWARE_CAPEX": { | |
| "precision": 0.7083333333333334, | |
| "recall": 0.8947368421052632, | |
| "f1-score": 0.7906976744186046, | |
| "support": 19.0 | |
| }, | |
| "GL_6150_MARKETING_PROMO": { | |
| "precision": 1.0, | |
| "recall": 0.8888888888888888, | |
| "f1-score": 0.9411764705882353, | |
| "support": 18.0 | |
| }, | |
| "GL_6220_IT_PERIPHERALS_OPEX": { | |
| "precision": 0.8, | |
| "recall": 0.5333333333333333, | |
| "f1-score": 0.64, | |
| "support": 15.0 | |
| }, | |
| "GL_6250_TECH_BOOKS_TRAINING": { | |
| "precision": 0.9047619047619048, | |
| "recall": 1.0, | |
| "f1-score": 0.95, | |
| "support": 19.0 | |
| }, | |
| "GL_6310_WORKPLACE_SAFETY_ERGONOMICS": { | |
| "precision": 0.9444444444444444, | |
| "recall": 0.8947368421052632, | |
| "f1-score": 0.918918918918919, | |
| "support": 19.0 | |
| }, | |
| "GL_6400_OFFICE_CONSUMABLES": { | |
| "precision": 0.9375, | |
| "recall": 1.0, | |
| "f1-score": 0.967741935483871, | |
| "support": 15.0 | |
| }, | |
| "GL_6410_FACILITY_PANTRY": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 18.0 | |
| }, | |
| "GL_6450_CLEANING_MAINTENANCE": { | |
| "precision": 1.0, | |
| "recall": 1.0, | |
| "f1-score": 1.0, | |
| "support": 19.0 | |
| }, | |
| "accuracy": 0.9084507042253521, | |
| "macro avg": { | |
| "precision": 0.9118799603174603, | |
| "recall": 0.9014619883040935, | |
| "f1-score": 0.9010668749262036, | |
| "support": 142.0 | |
| }, | |
| "weighted avg": { | |
| "precision": 0.9130686899172815, | |
| "recall": 0.9084507042253521, | |
| "f1-score": 0.905563526593375, | |
| "support": 142.0 | |
| } | |
| }, | |
| "threshold_analysis": { | |
| "below_800_accuracy": 0.7352941176470589, | |
| "above_800_accuracy": 0, | |
| "below_800_count": 34, | |
| "above_800_count": 0 | |
| } | |
| } |