Editing Research:Question-31-Task-Classification-Validation (section)

=== Improvement Factor Analysis ===

Investigation reveals specific factors that significantly improve classification accuracy:

'''Enhanced Context Modeling:''' Incorporating detailed organizational and project context information improves accuracy by an average of 15-20% across all categories.

'''Dynamic Capability Assessment:''' Real-time evaluation of both human and AI capabilities rather than static assumptions improves prediction accuracy by 12-18%.

'''Hybrid Task Decomposition:''' Breaking complex tasks into smaller components for separate allocation decisions improves overall optimization by 25-30%.

'''Iterative Refinement:''' Continuous learning from allocation outcomes and adjustment of classification parameters improves accuracy by 10-15% over 6-month periods.