[PDF] Top 20 Generalization Bounds for the Area Under the ROC Curve
Has 10000 "Generalization Bounds for the Area Under the ROC Curve" found on our website. Below are the top 20 most common "Generalization Bounds for the Area Under the ROC Curve".
Generalization Bounds for the Area Under the ROC Curve
... For the case of linear ranking functions on R , for which we could compute the bipartite rank- shatter coefficients exactly, we have shown that our uniform convergence bound is considerably tighter than a recent uniform ... See full document
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A modified Wald interval for the area under the ROC curve (AUC) in diagnostic case-control studies
... (ROC) curve and in particular the area under this curve, are appropriate for evaluating the overall accuracy of the diagnostic test ...The ROC curve is a plot of ... See full document
9
Area under ROC curve of energy detection over generalized fading channels
... the area under the ROC curve (AUC) ...the ROC curves since any determined probability of detection is valid for specific P f a values; ... See full document
7
Predictive factors of hysterectomy in the City of Ilam: The area under the receiver operating characteristic (ROC) curve model approach.
... Data were analyzed using SPSS software, version 17 for windows (IBM Inc., NY, US).Frequency, mean and standard deviation (SD) were used to describe data. To compare age, number of pregnancy in case and control groups ... See full document
5
Biomarker selection for medical diagnosis using the partial area under the ROC curve
... In the presence of multiple biomarkers, a traditional method of medical diagnosis is to fit a multiple logistic re- gression model to the data set. An example of this is the study of outcome prediction of aneurysmal ... See full document
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Low mid-upper arm circumference identifies children with a high risk of death who should be the priority target for treatment
... greater area under the ROC curve than other anthropometric ...[41] ROC curve analyses do not distinguish statistically between WHZ and MUAC risks of death for many of the ... See full document
12
Discrimination between Neoplastic and Nonneoplastic Brain Lesions by Use of Proton MR Spectroscopy: The Limits of Accuracy with a Logistic Regression Model
... the area under the ROC curve, Az, between the LR model and the other interpretations were examined with CORROC2 software ...in ROC curve area were considered signficant ... See full document
7
Correlation of Spot Urine Protein:Creatinine Ratio with 24-hour Urinary Protein in Preeclampsia: A Cross Sectional Study
... Sensitivity, specificity, predictive values of random urine P:C ratio at various cut-off values were evaluated using 24 hour urine total protein level as the gold standard. A receiver operator characteristics ... See full document
9
IJCSMC, Vol. 2, Issue. 4, April 2013, pg.88 – 94 RESEARCH ARTICLE
... Abstract— This paper presents a method to build binary classifier using supervised neural network. Support Vector Machine (SVM), which is based on the concept of maximum margin, is also used to build binary classifier, ... See full document
7
Original Article Liver cirrhosis: evaluation by using proper hepatic artery to splenic artery diameter ratio and Gd-EOB-DTPA-enhanced MR
... (ROC) curve analysis was used to identify the optimal cutoff values and area under the curve (AUC) values which aimed to differentiate from patients with non-cirrhotic liver group, MELD ... See full document
8
What is an ROC curve?
... The area under the ROC curve (AUC) is a global measure of a test’s ability to discriminate whether a specific condition is present or not ...(unpublished) ROC curve for ACS ... See full document
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Recognition and prediction of leukemia with Artificial Neural
... by roc and regression ...plot ROC curve, area under ROC curve was ...summery area under the ROC curve, performance of training and re- gression ... See full document
5
Rapid flood inundation mapping using social media, remote sensing and topographic data
... and area under curve ROC (AUROC) analysis was used to assess the performance of the individual data sources derived from Landsat-8 MNDWI and Flickr analysis, and the posterior probability ... See full document
18
Bipartite Ranking: a Risk-Theoretic Perspective
... Bipartite ranking problems (Freund et al., 2003; Agarwal et al., 2005; Clémençon et al., 2008; Kotlowski et al., 2011) have received considerable attention from the machine learning community. In such problems, we have ... See full document
102
Estimation of auc for constant shape bi-weibull failure time distribution
... (ROC) curve is commonly used for evaluating the discriminatory ability of a ...measure Area Under the ROC Curve (AUC) and intrinsic measures Sensitivity and ...AUC under ... See full document
10
Validation of the Edinburgh Postnatal Depression Scale against both DSM 5 and ICD 10 diagnostic criteria for depression
... and area under the ROC curve (AUC) were computed directly from the reweighted data and the calculations were done for all relevant cutoff ... See full document
12
The geriatric nutritional risk index independently predicts adverse outcomes in patients with pyogenic liver abscess
... largest area under receiver operating characteristic (ROC) curve than albumin, BMI, platelet, prothrombin time and hemoglobin in death prediction (area under ROC curves ... See full document
8
Discrimination of Milk Adulterated with Urea Using Voltammetric Electronic Tongue coupled with PCA-LSSVM
... For this work, the area under the ROC curve is only 0.847 when response current data of the Pt electrode is adopted; the area under the ROC curve is 0.986 when the total response current[r] ... See full document
13
Quantitative approach using multiple single parameters versus visual assessment in dobutamine stress echocardiography
... Methods: Prospective analysis included data of 151 patients (age 61.8 ± 9.2) who underwent dobutamine stress echocardiography for known (n = 35) or suspected coronary artery disease (CAD) (n = 36) or symptomatic chest ... See full document
10
Diagnostic significance of circulating long noncoding RNA PCAT6 in patients with non-small cell lung cancer
... All data are presented as mean ± SD from at least three sepa- rate experiments and analyzed by using the GraphPad Prism V.6.00 software (GraphPad Software, La Jolla, CA, USA). Comparison between two groups for ... See full document
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