analyze-results
CommunityAnalyze ML experiment results
Data & Analytics#insights#statistics#reproducibility#results analysis#ml experiments#comparison tables
AuthorMACJONSW
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the analysis of machine learning experiment results, transforming raw data into actionable insights and clear reports.
Core Features & Use Cases
- Data Aggregation: Consolidates results from various experiment runs (JSON/CSV).
- Comparative Analysis: Builds tables comparing performance across different configurations (hyperparameters, models).
- Statistical Summaries: Calculates means, standard deviations, and identifies trends.
- Insight Generation: Provides interpretations, implications, and suggests next experimental steps.
- Use Case: After running multiple hyperparameter sweeps for a new model, use this Skill to automatically generate a table showing accuracy, loss, and training time for each configuration, highlighting the optimal settings and explaining why they might be superior.
Quick Start
Analyze the results located in the 'results/hyperparameter_sweep_run_1' directory.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: analyze-results Download link: https://github.com/MACJONSW/AutoResearchIDEA/archive/main.zip#analyze-results Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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