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This application creates ROC curves, calculates area under the curve (AUC) values and confidence intervals for the AUC values, and performs multiple comparisons for ROC curves in a user-friendly, up-to-date and comprehensive way.
The easiest way to perform ROC analysis! A receiver operating characteristics (ROC) curve is a graphical approach which assess the performance of a binary classifier system. The ROC curve analysis is widely used in medicine, radiology, biometrics and various application of machine learning.
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The receiver operating characteristics (ROC) curve is a graphical approach used to visualize and assess the performance of a binary classifier system. This unique feature of ROC curve analysis makes it one of the most extensively used methods in various fields of science.
easyROC: a web-tool for ROC curve analysis. This application designed as a comprehensive ROC analysis tool. Firstly, it provides fundamental ROC statistics, such as AUC and, its standard error, confidence interval and statistical significance.
27 de feb. de 2016 · This tool provides ROC statistics, graphical tools, optimal cutpoint calculation, comparison of several markers, and sample size estimation to support researchers in their decisions without writing R codes. easyROC can be used via any device with an internet connection independently of the operating system.
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