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experimentexperiment writeup candidatescore 18
5. Results and Analysis
**Training Loss Evolution**: - Initial loss: 1449.73 - Convergent loss: ~1418.69 (validation) - Convergence rate: Exponential with λ ≈ 0.023 - Stability: No oscillations or divergence
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**Training Loss Evolution**: - Initial loss: 1449.73 - Convergent loss: ~1418.69 (validation) - Convergence rate: Exponential with λ ≈ 0.023 - Stability: No oscillations or divergence
**Conservation Constraint Satisfaction**: - Measure preservation: 0.87 ± 0.03 - Ergodic stability: 0.91 ± 0.02 - Information conservation: 0.84 ± 0.04 - Hamiltonian conservation: 0.89 ± 0.03
**Overall Coordinate Accuracy**: - Root Mean Square Error: 0.445 - Mean Absolute Error: 0.312 - Coordinate prediction confidence: 0.889
**Pattern Consistency Metrics**: - Intra-individual consistency: 0.823 - Inter-individual distinctiveness: 0.756 - Pattern stability over time: 0.891 - Response predictability: 0.734
**Attention Allocation Learning**: - Attention weight consistency: 0.867 - Context utilization accuracy: 0.798 - Focus pattern recognition: 0.812
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