SAFLA Model Validation Report

Model: SAFLA Version: 1.0.0 Validation Date: 2025-10-15T02:50:24.310Z Overall Status: ✅ PASSED

Summary

• Total Checks: 10
• Passed: 10
• Failed: 0

Detailed Results

1. Database Schema

• Status: ✅ PASSED
• Tables Found: 7/4
• Tables: patterns, sqlite_sequence, pattern_embeddings, pattern_links, metadata, sqlite_stat1, sqlite_stat4

2. Pattern Count

• Status: ✅ PASSED
• Count: 2000/2000

3. Embeddings

• Status: ✅ PASSED
• Coverage: 100.00%
• Dimensions: 1024/1024

4. Domain Distribution

• Status: ✅ PASSED

• ✅ confidence-adjustment: 400/400 patterns

• ✅ distillation: 400/400 patterns

• ✅ feedback-optimization: 400/400 patterns

• ✅ recursive-cycles: 400/400 patterns

• ✅ self-learning: 400/400 patterns

5. Confidence Scores

• Status: ✅ PASSED
• Average: 0.8382
• Range: 0.5500 - 0.9500

Distribution:

• low (0.5-0.6): 28 patterns
• medium (0.6-0.7): 184 patterns
• high (0.7-0.8): 455 patterns
• very-high (0.8-0.9): 632 patterns
• expert (0.9-0.95): 701 patterns

6. Success Rates

• Status: ✅ PASSED
• Average: 0.9030
• Range: 0.7200 - 0.9500

7. Pattern Links (Knowledge Graph)

• Status: ✅ PASSED
• Total Links: 3999
• Average per Pattern: 2.00

Relationship Types:

• causes: 704 links
• prevents: 690 links
• complements: 659 links
• enhances: 656 links
• requires: 649 links
• replaces: 641 links

8. Query Performance

• Status: ✅ PASSED

• ✅ Pattern by ID: 0.020ms (100 iterations)

• ✅ Domain filter: 0.050ms (100 iterations)

• ✅ Confidence filter: 0.050ms (100 iterations)

• ✅ Success rate filter: 0.050ms (100 iterations)

• ✅ Knowledge graph: 0.020ms (100 iterations)

9. Storage Efficiency

• Status: ✅ PASSED
• Total Size: 10.35 MB
• Per Pattern: 5.30 KB
• Target: < 15 MB

10. Metadata

• Status: ✅ PASSED

• Entries: 7/5

• model_name: SAFLA

• version: 1.0.0

• pattern_count: 2000.0

• embedding_dimensions: 1024

• training_date: 2025-10-15T02:48:54.924Z

• algorithm: Self-Aware Feedback Loop Algorithm

• description: Pre-trained model for self-learning and feedback optimization patterns

Recommendations

✅ Model is production-ready!

The SAFLA model has passed all validation checks and meets quality standards:

• All 2,000 patterns generated successfully
• Confidence scores follow expected SAFLA learning progression
• Knowledge graph has sufficient connectivity (2.00 links per pattern)
• Query performance meets sub-5ms latency target
• Storage efficiency is excellent (10.35 MB)

Next Steps:

1. Deploy model to production .swarm/memory.db
2. Monitor real-world usage patterns
3. Collect feedback for future model improvements

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Validation completed: 2025-10-15T02:50:24.334Z