ROC APP: AN APPLICATION TO UNDERSTAND ROC CURVES
We present a software application (https://gfvonborries.shinyapps.io/roc_app/) to help students understand the Receiver Operating Characteristic (ROC) curve and other concepts associated with binary classification models. We use the diagnostic test scenario as a motivation to explain the underlying...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | Brasil |
| Institución: | Universidade Federal de Lavras (UFLA) |
| Repositorio: | Brazilian Journal of Biometrics |
| Idioma: | inglés |
| OAI Identifier: | oai:biometria.ufla.br:article/566 |
| Acceso en línea: | https://biometria.ufla.br/index.php/BBJ/article/view/566 |
| Access Level: | acceso abierto |
| Palabra clave: | Teaching ROC curve sensitivity specificity accuracy |
| Sumario: | We present a software application (https://gfvonborries.shinyapps.io/roc_app/) to help students understand the Receiver Operating Characteristic (ROC) curve and other concepts associated with binary classification models. We use the diagnostic test scenario as a motivation to explain the underlying concepts and the app functionalities. The ROC App enables students to interactively learn why/how the ROC curve closely relates to the accuracy rates, by seeing how these curves and rates respond to modifications on the population’s parameters. |
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