Structure
Report Skeleton
Introduction: background, problem, motivation.
Methods: dataset, preprocessing, models, evaluation.
Results: metrics, efficiency, comparisons.
Discussion: limitations, ethics, practicality.
Deliverables
pre-review · final report · opposition
Next Focus
- classical ML baselines beside the two reproduced pipelines.
- label handling and class-imbalance checks.
- shared tables for performance, efficiency, and failures.
Rule
Report writing runs alongside experiments.