true positive rate (TPR)
CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens
... For the CRISPRko downsample simulations (Additional file 1: Figure S12), MAGeCK RRA had a nearly perfect ROC-AUC for all levels of downsampling, with CRIS- PhieRmix close behind. Similarly, MAGeCK RRA had the highest TPR ...
13
Binormal Precision-Recall and ROC Classification and Variable Selection
... the true positive rate (TPR, sensitivity) against the false posi- tive rate (FPR, 1- specificity ) as the cutoff value is ...the positive group and the negative group follow two ...
82
An efficient automated multimodal contour segmentation of multimodal brain tumor image using dynamic sparse field
... The proposed Automated Multimodal Contour Segmentation (AMCS) is adaptive because it has different scanning region points with the help of tumor volume, curvature, global and local regions. Segmentation accuracy on ...
5
Early warning indicators for banking crises: a conditional moments approach
... This paper presents a novel methodology to calculate thresholds in an early warning signalling framework for extracting signals useful to predict the occurrence of banking crises. The conditional moments based ...
24
Defend Against Adaptive Stenographic Attack using Mx Quadrtree Neighbor Finding Mechanism
... The Table and Graph implies that MX Quadtree Feature Extraction method works better when compared to rest of steganalysis methods used for extraction with different feature extraction techniques and different embedding ...
7
COMPARISON OF SQL INJECTION DETECTION TECHNIQUES WHICH USES CHI-SQUARE TEST
... In this section we comparatively evaluate the techniques presented in the previous section. In order to carry out this experiment we have developed a web application using ASP.NET and integrate the detection techniques ...
5
Accurate preterm labor diagnosis using a CD55 TLR4 combination biomarker model
... false positive rate (1-specificity) versus true positive rate (sensitivity) across the full range of classi- fication thresholds, avoiding the selection of a single value as the ...
5
In search of future excellence: the information value of bibliometric indicators in predicting doctoral students' future research performance
... To estimate the information value of the probit model (Table 1) in terms of predicting future excellence, we generated a ROC curve by plotting the true positive rate (i.e. the fraction [r] ...
13
Prevalence, statistical thresholds, and accuracy assessment for species distribution models
... Received: 16 July 2012 – Revised: 19 March 2013 – Accepted: 22 April 2013 – Published: 13 May 2013 Abstract. For species distribution models, species frequency is termed prevalence and prevalence in samples should be ...
7
IMPLEMENTATION IN DECISION SUPPORT SYSTEM OF ONTOLOGICAL APPROACH TO EXTRACTION OF DATA ABOUT INFORMATION OBJECTS FROM NEWS FLOW
... In this work we have proposed and evaluated a new approach for classification of mammograms. This approach is based on Gentle AdaBoost. Our main contribution in this proposition is that the strong classifier is ...
6
Evaluation of two diagnostic methods of scrub typhus with Bayes rule
... (true positive rate) - this is the portion of the people with the rickettsia infection, who will have positive ELISA test results, computed by [TP/(TP+FN)], and the specificity (true ...
5
Classification of Malicious URLS for Web Using Ripper Algorithm
... the true positive rate of this algorithms proportion of examples which were classified the last rule, among all examples which truly have rules, ...executables). True Negatives rate is ...
5
GRAPH BASED TEXT REPRESENTATION FOR DOCUMENT CLUSTERING
... traffic rate on MANET, the result are used in the next step to construct spanning tree network ...error rate they experience, node density and their true positive rate on detecting ...
9
Automated peak detection method for behavioral event identification : detecting Balaenoptera musculus and Grampus griseus feeding attempts
... a true- positive detection rate of about ...false-positive rate of about ...had true-positive detection rates of about ...median true-positive rate of ...
10
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward
... expected true positive rate when uniformly averaging over all false positive rates) can not just be interpreted as an estimate of the probability that a random positive is ranked higher ...
7
Three dimensional CT angiography in the detection and characterization of intracranial berry aneurysms
... false-positive rate in those who have no ...specificity, positive predictive value, and negative predic- tive value of 3-D CTA are better when applied to all patients than when applied to all ...
7
Uniaxial tension test on Rubber at constant true strain rate
... constant true strain rate tension tests for a wide range of strain rate while achieving large ...constant true strain rate in a part of the ...strain rate field (see ...
5
NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer
... of performance metrics derived from contingency tables that captured the relationship between the prediction status assigned by the method and labels from the ground truth data (Fig. 3, and Additional file 2: Table S1). ...
14
Lab Practical Study Guide
... Does a positive on the CAMP test mean that a bacteria is a true beta or a true gamma hemolyser.. iii?[r] ...
6
Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments
... Actually, the objective of classification tasks is the prediction of the value of a variable of interest on unseen instances. In this way, rules present dependencies between them in order to perform a proper ...
15