Issue-Spotting Performance Analysis Task
Jump to navigation
Jump to search
An Issue-Spotting Performance Analysis Task is a performance analysis task that evaluates the issue-spotting effectiveness of an issue-spotting system or issue-spotting process at various granularity levels.
- AKA: Issue Detection Performance Evaluation Task, Problem Identification Analysis Task.
- Context:
- input: Issue-Spotting Predictions, Human Adjudications, Issue Taxonomy, Document Metadata.
- output: Issue-Spotting Performance Report with accuracy metrics, error analysis, and improvement recommendations.
- measures: Issue-Spotting Performance Measures including precision, recall, F1 score, and coverage metrics.
- It can typically analyze Issue Detection Accuracy across different issue types, severity levels, and document contexts.
- It can typically identify Issue-Spotting Error Patterns through false positive analysis and false negative analysis.
- It can typically generate Performance Visualizations including confusion matrices, ROC curves, and performance dashboards.
- It can typically evaluate Inter-Annotator Agreement using kappa statistics and agreement rates.
- It can typically track Performance Trends across time periods, system versions, or data releases.
- ...
- It can often segment Issue-Spotting Performance by document type, issue category, or complexity level.
- It can often provide System Optimization Insights through bottleneck identification.
- It can often support Training Data Improvement through error case prioritization.
- It can often enable Annotator Performance Comparison for quality assurance.
- ...
- It can range from being a System-Level Issue-Spotting Performance Analysis Task to being a Component-Level Issue-Spotting Performance Analysis Task, depending on its analysis granularity.
- It can range from being a Single-Issue-Type Performance Analysis Task to being a Multi-Issue-Type Performance Analysis Task, depending on its issue scope.
- It can range from being a Manual Issue-Spotting Performance Analysis Task to being an Automated Issue-Spotting Performance Analysis Task, depending on its execution method.
- ...
- It can integrate with Issue-Spotting Platforms for continuous monitoring.
- It can support Model Development Cycles through performance benchmarking.
- It can inform Annotation Guideline Refinement through disagreement analysis.
- ...
- Example(s):
- Granularity-Based Issue-Spotting Performance Analysis Tasks, such as:
- Domain-Specific Issue-Spotting Performance Analysis Tasks, such as:
- System-Type Issue-Spotting Performance Analysis Tasks, such as:
- ...
- Counter-Example(s):
- Issue Resolution Performance Analysis, which measures problem fixing rather than problem identification.
- Document Classification Performance Analysis, which evaluates category assignment rather than issue detection.
- System Throughput Analysis, which measures processing speed rather than detection accuracy.
- See: Performance Analysis Task, Issue-Spotting Performance Measure, Issue-Spotting Task, Performance Evaluation Method, Issue-Spotting Rule-Level Performance Analysis Task.