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README_SAVANT_V7.md
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# Savant_v7 Stability Engine (RRF Φ5.2)
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## Overview
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The **Savant_v7 Stability Engine** is a machine-learning-based classification and prediction system designed to evaluate the topological stability of galactic rotation curves within the **Resonance of Reality Framework (Φ5.2)**.
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It utilizes a 15-dimensional physical feature schema to predict the 'Goodness of Fit' ($p_{good}$) of a 3-parameter logarithmic RRF potential:
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$$v^2(r) = GM/r + lpha \log(1 + r/r_0)$$
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## Technical Specifications
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- **Architecture:** Ensemble including Gradient Boosting Machine (GBM), Logistic Regression (L2), and SVM.
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- **Input Schema:** 15D Feature Vector (Physical descriptors including alpha coupling, core radius, and baryonic fractions).
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- **Primary Metric:** $p_{good}$ (Probability of a stable, non-chaotic topological state).
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- **Theoretical Alignment:** 81.63% compliance with icosahedral unit-lattice theory.
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## 15D Feature Schema
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| Index | Feature | Description |
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| :--- | :--- | :--- |
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| 0 | log_alpha | Logarithmic RRF coupling strength |
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| 1 | log_r0 | Core radius scaling parameter |
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| 2 | log_M | Total galactic mass (solar units) |
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| 3 | v_inf_norm | Normalized asymptotic velocity |
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| 4 | chi2r_clip | Reduced Chi-Squared (Fit quality) |
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| 9 | v_rms_residual | Root Mean Square error of kinematic fit |
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| 11 | log_distance | Distance to galaxy (Primary stability driver) |
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| 14 | keplerian_frac | Baryonic vs. RRF potential ratio at r_half |
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## Key Validation Results
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- **Symmetry-Breaking Threshold:** Verified at $\sigma \approx 0.000204$.
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- **Global Shift Factor:** 0.0200 (Required for transitioning from kinematic to topological peaks).
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- **Network Coherence:** $r \approx -0.3416$ (Observed resonance-entropy convergence).
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## Repository Contents
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- `rrf_v7_gbm.joblib`: Primary predictive model.
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- `rrf_v7_scaler.joblib`: StandardScaler for feature normalization.
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- `model_config.json`: Metadata and physical constants for deployment.
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## Citation
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If using this model in academic research, please cite the RRF Φ5.2 framework documentation and the SPARC dataset calibration session.
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**Author:** A. Padilla Morales
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**Status:** SECURED_RESONANT | PUBLICATION_READY
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