true-positive-rate

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RimTouny / Phishing-Attack-Detection-using-Machine-Learning

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

machine-learning eda feature-selection feature-extraction cybersecurity phishing-attacks smote oversampling f1-score lazy-classifier voting-classifier phishing-detection phishing-urls true-positive-rate true-negative-rate stacking-classifier

Updated Jan 12, 2024
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m-clark / confusionMatrix

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Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

specificity tidy sensitivity kappa confusion-matrix rand fallout false-discovery-rate f1-score dice-coefficient precision-recall positive-predictive-value negative-predictive-value true-positive-rate true-negative-rate false-positive-rate false-negative-rate balanced-accuracy false-omission-rate peirce

Updated Jul 10, 2020
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sichkar-valentyn / What-is-mAP-for-Objects-Detection-tasks-

Star 3

Understanding of use of mAP as a metric for Objects Detection problems

ground-truth false-positive intersection-over-union mean-average-precision average-precision iou-calculation true-positive-rate

Updated Mar 25, 2020
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subhayuroy / Anomaly_Detection

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💻Anomaly detection can be 👨‍💻treated as a statistical📉 task as an outlier analysis📊. But if we develop a machine learning model📈, it can be automated and as usual, can save a lot of time🕐

mean probabilistic-programming precision variance-analysis threshold-signature true-positive-rate