Model Evaluation and Benchmarking System #771
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👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review! |
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Nov 5, 2024
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🎉🎉 Thank you for your contribution! Your PR #771 has been merged! 🎉🎉 |
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Issue number #714
This pull request introduces a comprehensive Model Evaluation and Benchmarking System to ML Nexus, enabling users to evaluate machine learning models on standardized datasets, compare performance against industry benchmarks, and foster a community-driven competitive environment.
Key Features:
Dataset Library: Standard datasets and custom uploads for model testing.
Evaluation Metrics: Accuracy, precision, recall, and F1 score for performance insights.
Benchmark Comparison: Compare models against industry standards with visuals.
Custom Datasets: Upload and benchmark unique datasets.
Leaderboards: Ranks top models and awards badges for achievements.
Benefits:
Enables users to benchmark their models against industry standards, providing insights into their performance and areas for improvement.
Fosters a collaborative environment with leaderboards and badges, encouraging knowledge sharing and model optimization.
This feature significantly enhances the ML Nexus platform's usability for data scientists and ML enthusiasts, positioning it as a comprehensive tool for model assessment, benchmarking, and community engagement.
Please consider this PR to enhance ML Nexus with a robust Model Evaluation and Benchmarking System. This feature introduces a dataset library, comprehensive evaluation metrics, benchmark comparisons, and a community-driven leaderboard with achievements, greatly enriching user engagement and model assessment capabilities.
Since this implementation required significant effort across multiple areas, I kindly request consideration for a Level 2 badge, as it builds upon the foundational work recognized by the Level 1 badge and adds substantial value to the platform.
Thank you for reviewing!