Error Analysis & Insights

[levelslip]

• Description: Deep dive analysis of model prediction errors
• Activities:
  • Analyze systematic errors:
    • Identify consistent over/under-prediction patterns
    • Analyze error by time of day, department, etc
    • Quantify systematic bias
  • Identify error patterns:
    • Identify scenarios with high errors
    • Analyze error distributions
    • Identify error outliers
  • Propose improvement areas:
    • Suggest features that might help
    • Recommend data collection improvements
    • Recommend model architecture changes
  • Create error visualizations:
    • Residual plots
    • Error distributions by category
    • Prediction vs actual scatter plots
  • Document insights:
    • Write findings and recommendations
    • Create error analysis report
    • Suggest next steps for improvement
• Deliverables: Error analysis report, recommendations for improvement