Statistical evaluation of Gemma refusal robustness using direction ablation and official SORRY-Bench scoring.
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Jun 25, 2026 - Python
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statistical-evaluation
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Quantitative performance benchmarking of machine learning classifiers for phishing detection, utilizing precision, recall, and F1-score optimization on high-dimensional labeled datasets.
pattern-recognition information-security adversarial-ml statistical-evaluation classifier-optimization
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May 28, 2026 - Python
Classification models for detecting fake reviews and predicting software bugs. Includes implementations of decision trees, bagging, random forests, logistic regression, and Naive Bayes, with statistical evaluation using McNemar's test.
machine-learning text-mining random-forest naive-bayes feature-selection classification logistic-regression tf-idf decision-tree bagging opinion-spam bug-prediction mcnemar-test statistical-evaluation
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Jun 28, 2025 - Jupyter Notebook
frontier-evals-harness is a lightweight framework for benchmarking frontier language models. It provides deterministic suite versioning, modular adapters, standardized scoring, and paired statistical comparisons with confidence intervals. Built for regression tracking and analysis, it enables reproducible evaluation without infrastructure.
reproducible-research model-evaluation llm-evaluation llm-benchmarking statistical-evaluation evaluation-harness
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Feb 19, 2026 - Python
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