Decompose this ML experiment into structured tasks. ## Experiment Goal {{experiment_goal}} ## Hypothesis {{hypothesis}} ## Available Resources {{available_resources}} Apply systematic decomposition: **Phase 1: Setup** - Task 1.1: Define success metrics - Task 1.2: Prepare evaluation datasets - Task 1.3: Set up experiment tracking - Task 1.4: Establish baseline **Phase 2: Implementation** - Task 2.1: Implement experimental changes - Task 2.2: Validate implementation correctness - Task 2.3: Run small-scale tests - Task 2.4: Debug and iterate **Phase 3: Evaluation** - Task 3.1: Run full evaluation - Task 3.2: Collect metrics - Task 3.3: Analyze results - Task 3.4: Statistical significance testing **Phase 4: Conclusion** - Task 4.1: Document findings - Task 4.2: Make recommendation - Task 4.3: Plan next steps - Task 4.4: Share learnings Provide task dependencies and time estimates.
Task Decomposition for ML Experiment
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Decompose ML experiments into structured phases covering setup, implementation, evaluation, and conclusion with task dependencies.
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Experiment planningML workflowResearch organization
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claude-sonnet-4-20250514gpt-4o
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