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*  Biometrics
The value of the EER can be easily obtained from the ROC curve. The EER is a quick way to compare the accuracy of devices with ... Receiver operating characteristic or relative operating characteristic (ROC): The ROC plot is a visual characterization of the ... different ROC curves. In general, the device with the lowest EER is the most accurate. Failure to enroll rate (FTE or FER): the ...
*  Receiver operating characteristic
Curves and the Regression ROC (RROC) curves. In the latter, RROC curves become extremely similar to ROC curves for ... Given the success of ROC curves for the assessment of classification models, the extension of ROC curves for other supervised ... Curves Applet. Sometimes, the ROC is used to generate a summary statistic. Common versions are: the intercept of the ROC curve ... Gini Coefficient the area between the full ROC curve and the triangular ROC curve including only (0,0), (1,1) and one selected ...
*  List of RNA-Seq bioinformatics tools
Includes a tool for grading and generating ROC curves from resultant sam files. Open-source, written in pure Java; supports all ...
*  Detection theory
... such as the area under the ROC-curve. Bias is the extent to which one response is more probable than another. That is, a ...
*  Gini coefficient
SSRN 636661 . Hand, David J.; Till, Robert J. (2001). "A Simple Generalisation of the Area Under the ROC Curve for Multiple ... Diversity index Economic inequality Great Gatsby curve Human Poverty Index Income inequality metrics Kuznets curve Pareto ... If (Xk, Yk) are the known points on the Lorenz curve, with the Xk indexed in increasing order (Xk - 1 < Xk), so that: Xk is the ... Sometimes the entire Lorenz curve is not known, and only values at certain intervals are given. In that case, the Gini ...
*  Data mining
A number of statistical methods may be used to evaluate the algorithm, such as ROC curves. If the learned patterns do not meet ...
*  Gene expression programming
More exotic fitness functions that explore model granularity include the area under the ROC curve and rank measure. Also ...
*  Receiver Operating Characteristic Curve Explorer and Tester
As a rule of thumb, the fewer the biomarkers that one uses to maximize the AUC of the ROC curve, the better. ROCCET's ROC curve ... An image of different ROC curves is shown in Figure 1. ROC curves provide a simple visual method for one to determine the ... ROC) curve. ROC curves plot the sensitivity of a biomarker on the y axis, against the false discovery rate (1- specificity) on ... The AUC (area under the curve) of the ROC curve reflects the overall accuracy and the separation performance of the biomarker ( ...
*  Net reclassification improvement
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med ... Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115(7):928-935. Pencina MJ ...
*  Diagnostic odds ratio
The value a can be used to plot a summary ROC (SROC) curve. Consider a test with the following 2×2 confusion matrix: We ... Moses, L. E.; Shapiro, D; Littenberg, B (1993). "Combining independent studies of a diagnostic test into a summary ROC curve: ...
*  MedCalc
Procedures for method evaluation and method comparison include ROC curve analysis, Bland-Altman plot, as well as Deming and ...
*  One-shot learning
The image below shows an ROC curve, measuring the probability of detection over the probability of false detection, as well as ... Such a model might include 6 or 7 parts, several mixture components, representations for curve contours, or ability to handle ...
*  Allergy
Statistical methods, such as ROC curves, predictive value calculations, and likelihood ratios have been used to examine the ...
*  Brier score
... and is related to the area under the ROC Curve. The Brier Score, and the CAL + REF decomposition, can be represented ... 2.0.CO;2. Hernandez-Orallo, J.; Flach, P.A.; Ferri, C. (2011). "Brier curves: a new cost-based visualisation of classifier ... graphically through the so-called Brier Curves, where the expected loss is shown for each operating condition. This makes the ...
*  Docking (molecular)
The area under the receiver operating characteristic (ROC) curve is widely used to evaluate its performance. Resulting hits ...
*  Predictive genomics
... denotes area under the ROC curve. In the applications of predictive genomics below, these complex diseases either lack or are ... Currently, although AUC (Area Under the ROC) is the de facto metric in comparing and evaluating the performance of predictive ...
*  John Clibbens
Journal of Intellectual Disability Research Merwood, A., McBrien, J. & Clibbens, J. (in preparation): ROC curve analysis of the ...
*  Youden's J statistic
The index is defined for all points of an ROC curve, and the maximum value of the index may be used as a criterion for ... Powers, David M W (2011). "Evaluation: From Precision, Recall and F-Score to ROC, Informedness, Markedness & Correlation". ... Youden's index is often used in conjunction with receiver operating characteristic (ROC) analysis. ... and it is also equivalent to the Area under the Curve subtended by a single operating point. Youden's index is also known as ...
*  PASS Sample Size Software
Survival Analysis Variances ROC Curves Equivalence Normality Tests Confidence Intervals Conditional Power Proportions - 1 or 2 ...
*  List of MeSH codes (H01)
... roc curve MeSH H01.548.832.852 --- sensitivity and specificity MeSH H01.548.832.901 --- statistical distributions MeSH H01.548. ...
*  List of MeSH codes (G03)
... roc curve MeSH G03.850.520.445.850 --- single-blind method MeSH G03.850.520.450 --- epidemiologic study characteristics MeSH ... area under curve MeSH G03.850.520.830.250 --- cluster analysis MeSH G03.850.520.830.250.675 --- small-area analysis MeSH ...
*  Sensitivity analysis
... decision theory Interval FEM Perturbation analysis Probabilistic design Probability bounds analysis Robustification ROC curve ...
*  List of MeSH codes (N05)
... roc curve MeSH N05.715.360.780.730 --- single-blind method MeSH N05.715.360.825 --- technology assessment, biomedical MeSH ...
*  Chemometrics
... or a full ROC curve). A recent report by Olivieri et al. provides a comprehensive overview of figures of merit and uncertainty ... doi:10.1016/S0003-2670(03)00724-4. de Juan, A.; Tauler, R. (2006). "Multivariate Curve Resolution (MCR) from 2000: Progress in ... Sylvestre, E. A.; Lawton, W. H.; Maggio, M. S. (1974). "Curve Resolution Using a Postulated Chemical Reaction". Technometrics. ... In chemometric parlance, multivariate curve resolution seeks to deconstruct data sets with limited or absent reference ...
*  ELKI
ROC curve) Scatter plot Histogram Parallel coordinates (also in 3D, using OpenGL) Other: Apriori algorithm Dynamic time warping ...
*  Detection error tradeoff
... yielding tradeoff curves that are more linear than ROC curves, and use most of the image area to highlight the differences of ... "The DET Curve in Assessment of Detection Task Performance", Proc. Eurospeech '97, Rhodes, Greece, September 1997, Vol. 4, pp. ...