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model-evaluation-and-metrics

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collapseindex / ci-sri

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Public validation of SRI (Structural Retention) and CI (Collapse Index) metrics on AG News dataset: 90.4% accuracy, 9.2% flip rate, revealing model brittleness beyond standard benchmarks with AUC 0.874!

machine-learning natural-language-processing text-classification artificial-intelligence reproducibility sri model-evaluation robustness perturbations failure-analysis bert-model ag-news-dataset model-evaluation-and-metrics collapse-index ci-sri
  • Updated Jan 7, 2026
  • Python

nashish109 / smart-ecommerce-fraud-detection

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AI-powered system to detect fraudulent transactions in e-commerce using machine learning. Includes data preprocessing, feature engineering, and classification models like Random Forest and XGBoost. Achieved high accuracy with interpretable results for real-time detection.

feature-engineering machine-learning-models graph-attention-networks data-preprocessing-and-cleaning imbalanced-data-handling model-evaluation-and-metrics smote-sampling-technique classification-report-analysis ensemble-learning-with-xgboost
  • Updated May 1, 2025
  • Jupyter Notebook

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