# Machine Learning Analysis Report

**Project:** Example: Metabolomics Classification 20260104_233904  
**Run:** run_001  
**Date:** 2026-01-05 06:39:13  
**Algorithm:** random_forest  
**Cross-Validation Folds:** 5

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## Model Performance

| Metric | Mean | Std | Min | Max |
|--------|------|-----|-----|-----|
| accuracy | 0.890 | 0.073 | 0.750 | 0.950 |
| precision | 0.892 | 0.074 | 0.753 | 0.955 |
| recall | 0.890 | 0.073 | 0.750 | 0.950 |
| f1 | 0.890 | 0.074 | 0.749 | 0.950 |

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## Feature Importance

Top features ranked by importance:

| Rank | Feature | Mean Importance | Std |
|------|---------|-----------------|-----|
| 1 | asparagine | 0.182 | 0.031 |
| 2 | isoleucine | 0.152 | 0.015 |
| 3 | aspartate | 0.125 | 0.018 |
| 4 | succinate | 0.120 | 0.022 |
| 5 | valine | 0.107 | 0.030 |
| 6 | malate | 0.090 | 0.019 |
| 7 | pyruvate | 0.077 | 0.019 |
| 8 | urea | 0.063 | 0.003 |
| 9 | glutamine | 0.059 | 0.011 |
| 10 | glutamate | 0.057 | 0.000 |
| 11 | tryptophan | 0.050 | 0.000 |
| 12 | glucose | 0.049 | 0.000 |
| 13 | taurine | 0.049 | 0.000 |
| 14 | threonine | 0.045 | 0.000 |
| 15 | uracil | 0.044 | 0.006 |
| 16 | phenylalanine | 0.041 | 0.000 |

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*Report generated by CMMI ML Pipeline*