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Add comprehensive Step 4 (ML non-neurali) documentation to project history files#1
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Co-authored-by: 1ngVG <146956283+1ngVG@users.noreply.github.com> Agent-Logs-Url: https://github.com/1ngVG-OA/FinalProject/sessions/0a9c1cb5-711d-4027-943a-47d36d84901b
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[WIP] Add explanation for non-neural ML step 4
Add comprehensive Step 4 (ML non-neurali) documentation to project history files
Mar 24, 2026
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User had followed the project through Step 3 (statistical models) but lacked documentation explaining what was implemented in Step 4 (non-neural ML). The two project history files (
Trascrizione_chat_completa.md,PROMPT_COPILOT_RIPRESA_PROGETTO.md) had no structured explanation of the ML pipeline, its two run variants, or how results compare against Step 3.Trascrizione_chat_completa.md— new "Parte 4" sectionFull breakdown of all 4 modules in
Project/models/ml/:model_config.py—MLStepConfig, metric helpers (RMSE/MAE/MAPE/MBE), log1p+diff inverse transforms, input validatorsfeatures.py—build_lagged_dataset,select_features(none/rfe/importance),build_model_feature_matrixrunner.py—MLModelRunner: grid search on validation, per-lookback FS caching, recursive multi-step forecast, refit on train+val, original-scale metricsplotting.py— transformed-scale and original-scale comparison plotsStep-by-step pipeline walkthrough (same log1p+diff1 preprocessing and 80/10/10 split as Step 2)
v1 baseline (
main.py, XGBoost off) vs v2 extended (Mains/run_step4_ml_extended.py, XGBoost on, wider grid) — results tables populated from actual CSV artifacts:PROMPT_COPILOT_RIPRESA_PROGETTO.md— new "Dettaglio Step 4" subsectionCompact version of the same content structured for use as Copilot resume-context, covering architecture, pipeline steps, v1/v2 outcomes, and Step 3 vs Step 4 comparison in scannable bullet form.
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