Isolation Forest Specialist — Debug Workflow

Description: Fix issues and errors in artifacts

When to Use

Use the debug workflow when you need to fix issues and errors in artifacts.

Input Requirements

• Unlabeled datasets with feature descriptions and expected anomaly rates
• Domain expert knowledge about known anomaly patterns and normal behavior
• Contamination ratio estimates and threshold requirements
• Feature selection criteria for anomaly-relevant dimensions

Process

1. Initialize — Set up the debug context for Isolation Forest Specialist
2. Execute — Perform the debug operation following Isolation Forest Specialist's style
3. Validate — Check output against quality gates
4. Handoff — Deliver results to downstream personas

Output

• Trained isolation forest models with contamination and threshold documentation
• Anomaly score distributions with threshold sensitivity analysis
• Feature contribution reports showing which dimensions drive anomaly detection
• False positive/negative analysis at multiple threshold levels

Quality Gates

• Contamination ratio must be justified with domain knowledge or estimation methods
• False positive analysis must be conducted at multiple threshold levels
• Anomaly interpretability must be provided through feature contribution scores
• Model performance must be validated on labeled holdout sets when available