Model Comparison run #100 · ml_result
model_comparison
model type
completed
status
2026-09-21 02:12
created
Figures
Model comparison
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Cross-validation score distribution
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Method & Provenance
- Method
- Model Comparison
- Method key
ml_result(result type:ml_result, result #100)- Engine
- Python · scikit-learn v1.8.0
- Dataset(s)
- #690 gallery — cat_g_field_data_plots.csv
- Status
- completed
- Permanent link
- https://cat-g-omxpert.wishartlab.com/results/by-token/c53fa74c83ff4edc88d28c8b5ac82e48 Bookmark or share this URL — it does not depend on your session.
- Created
- 2026-09-21 02:12:18.862020
Parameters used
| Parameter | Value |
|---|---|
task_type
| regression |
model_type
| model_comparison |
target_column
| PC_SHOOTMASS |
n_splits
| 3 |
Execution trace
Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made.
# task_type = 'regression'# Models compared via app.services.ml_model_registryscores = sklearn.model_selection.cross_val_score(model, X, y, cv=3)