Benchmark

Benchmark Skill

Purpose

Define the comparison metrics and extract baseline values from the current implementation. Record them as a structured JSON entry so downstream phases and final evaluation can read them directly.

When to Use

Phase 3 — after both current analysis and research analysis are complete.

Input

Actions

1. Define comparison metrics:

   • Include ALL metrics already used in current.ipynb.
   • Add any additional metrics that are relevant for the new method.
   • For classification: accuracy, precision, recall, F1, AUC-ROC (as applicable).
   • For regression: MSE, RMSE, MAE, R² (as applicable).
   • Include training time if measurable.

2. Extract baseline values:

   • Read metric values from current.ipynb output cells.
   • If a metric is not computed in the notebook, record it as null and set "needs_computation": true — both notebooks must then compute it.

3. Append a Phase 3 entry to {experiment_path}/log.json under phases:

   {
     "name": "Phase 3: Benchmark",
     "completed_at": "2026-04-17T10:45:00Z",
     "metrics": [
       {
         "name": "accuracy",
         "description": "Fraction of correctly classified samples.",
         "higher_is_better": true,
         "baseline": 0.8726,
         "needs_computation": false
       },
       {
         "name": "f1",
         "description": "F1 score (binary, positive class).",
         "higher_is_better": true,
         "baseline": 0.7277,
         "needs_computation": false
       },
       {
         "name": "roc_auc",
         "description": "Area under the ROC curve.",
         "higher_is_better": true,
         "baseline": 0.9274,
         "needs_computation": false
       },
       {
         "name": "training_time_seconds",
         "description": "Wall-clock training time.",
         "higher_is_better": false,
         "baseline": null,
         "needs_computation": true
       }
     ],
     "notes": "training_time_seconds must be added to both notebooks for a fair comparison."
   }
   

   Do not overwrite earlier entries; append to the phases array.

Output

• {experiment_path}/log.json — updated with Phase 3 benchmark entry
• Clear list (in metrics) of what the new implementation must compute