Results 1 to 10 of about 3,583,799 (330)
Precrec: fast and accurate precision–recall and ROC curve calculations in R
Bioinform., 2016 Summary: The precision–recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall plots are currently not available.
Takaya Saito, Marc Rehmsmeier
semanticscholar +1 more source
, 2023 Comparison of ROC curve calculated with weight matrix and ROC curve calculated without weight matrix.
Bo Wang (86769) +4 more
core +1 more source
COMPARING DIAGNOSTIC TESTS FROM ROC CURVE COMPARACIÓN DE PRUEBAS DIAGNÓSTICAS DESDE LA CURVA ROC
Revista Colombiana de Estadística, 2007 We study the problem of comparing the power of classification of different methods from the ROC Curve. On one hand, we propose a method based on the supremum measure and, on the other hand, we study the problem of comparing two or more ROC curves from ...
Martínez-Camblor Pablo
doaj
ROCS: receiver operating characteristic surface for class-skewed high-throughput data. [PDF]
PLoS ONE, 2012 The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e.
Tianwei Yu
doaj +1 more source
ROC curve equivalence using the Kolmogorov-Smirnov test
, 2013 This paper describes a simple, non-parametric and generic test of the equivalence of receiver operating characteristic (ROC) curves based on a modified Kolmogorov-Smirnov (KS) test.
Bradley, Andrew P., Bradley, A. P.
core +1 more source
Cadernos de Saúde Pública, 2018 The goals of this study were to develop reference values for waist circumference (WC) in Brazilian children between 6-10 years old and to evaluate the WC performance in predicting cardiovascular risk factors and metabolic syndrome (MetS) in children ...
Alynne Christian Ribeiro Andaki +5 more
doaj +1 more source
BioData Mining, 2023 Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard metric to evaluate binary classifications in ...
Davide Chicco, Giuseppe Jurman
doaj +1 more source
ROC-AUC and ML calibration plot.
, 2023 (A) ROC-AUC, area under the receiver operating characteristic curve. (B) Calibration plot of machine learning models.
Ruben D. Zapata (17262726) +8 more
core +1 more source
Empirical and Kernel Estimation of the ROC Curve
Acta Universitatis Lodziensis. Folia Oeconomica, 2015 The paper presents chosen methods for estimating the ROC (Receiver Operating Characteristic) curve, including parametric and nonparametric procedures.
Aleksandra Katarzyna Baszczyńska
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