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false-positive-rate

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m-clark / confusionMatrix

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
R

Zh-Shuai / CADES

Implementation of "Conformal Anomaly Detection in Event Sequences" (ICML 2025)

hypothesis-testing conformal-prediction event-sequence out-of-distribution-detection false-positive-rate temporal-point-process conformal-anomaly-detection

Updated Jun 18, 2025
Python

MIMBCD-UI / dataset-uta7-rates

[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.

medical-imaging human-computer-interaction user-testing user-centered-design breast-cancer false-positive false-negative birads bi-rads false-positive-rate false-negative-rate

Updated Apr 13, 2023
CSS

Kovenda / R-Shiny-App-to-predict-Factors-Affecting-Survival-of-CHD

R Shiny App to determine the factors that are most influential in patients' survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate...

r r-shiny goodness-of-fit roc-curve interaction-effect correlation-matrix likelihood-ratio-test false-positive-rate scatterplot-matrix roc-auc-curve r-shiny-apps lowess-fit

Updated Jul 27, 2022
R

komosny / phishing-detection-language-europe

Phishing Detection on Webpages in European Non-English Languages Based on Machine Learning

machine-learning cybersecurity phishing-detection false-positive-rate webpage-url language-specificity

Updated Mar 21, 2025
Jupyter Notebook

miozilla / avalanchemior

avalanchemior : Safety & Rescue Technology # Optimize Model Performance # ROC # AUC # scikit-learn

numpy random sklearn forest plotly regression logistic pandas curve graphing auc matplotlib tpr roc receiver-operating-characteristic area-under-curve fpr true-positive-rate false-positive-rate

Updated Jan 6, 2026
Jupyter Notebook

miozilla / conmatrix

conmatrix : Confusion Matrix # Data Imbalance # Evaluation # Weights & Biases

specificity dataset accuracy recall sensitivity tpr weight roc precision bias binary-classification imbalanced-data azureml fn evaluate classification-model fpr false-positive-rate tn

Updated Sep 20, 2025
Jupyter Notebook

connormcmanigal / Diabetes-Supervised-Machine-Learning-Analysis-And-Prediction

Comparing logistic regression, decision tree, random forest, k-nearest neighbors, and SVMs in regard to binary prediction performance metrics.

python scikit-learn recall logistic-regression decision-trees svm-classifier random-forest-classifier k-nearest-neighbors false-positive-rate binary-prediction

Updated Jun 3, 2024
Jupyter Notebook

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