A tool for comprehensively evaluating and comparing responses from multiple large language models to provide actionable insights for improvement.
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Updated
Oct 25, 2024
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modelevaluator
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End-to-end credit card fraud detection pipeline for tracking ML experiments, comparing models, and evaluating performance on highly imbalanced data.
python random-forest numpy scikit-learn pandas logistic-regression machinelearning imbalanced-data fraud-detection modelevaluator
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Updated
Aug 17, 2026 - Python
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