Results 21 to 30 of about 474,933 (300)

Do unbalanced data have a negative effect on LDA? [PDF]

open access: yes, 2008
For two-class discrimination, Xie and Qiu [The effect of imbalanced data sets on LDA: a theoretical and empirical analysis, Pattern Recognition 40 (2) (2007) 557–562] claimed that, when covariance matrices of the two classes were unequal, a (class ...
Titterington, D.M., Xue, J.H.
core   +1 more source

[Area under the curve)] The classification performance using AUC (area under the curve) and accuracy analysis for each group.

open access: yes, 2023
[Area under the curve)] The classification performance using AUC (area under the curve) and accuracy analysis for each group.
Kazım Kılıç (16985977)   +5 more
core   +1 more source

Area under curve (AUC) values of qualitative parameters of glottis.

open access: yes, 2023
Area under curve (AUC) values of qualitative parameters of glottis.
Adeena Khan (17304816)   +3 more
core   +1 more source

A modified Wald interval for the area under the ROC curve (AUC) in diagnostic case-control studies [PDF]

open access: yesBMC Medical Research Methodology, 2014
The area under the receiver operating characteristic (ROC) curve, referred to as the AUC, is an appropriate measure for describing the overall accuracy of a diagnostic test or a biomarker in early phase trials without having to choose a threshold. There are many approaches for estimating the confidence interval for the AUC.
Kottas, Martina   +2 more
openaire   +3 more sources

Degree-Based Similarity Indexes for Identifying Potential miRNA-Disease Associations

open access: yesIEEE Access, 2020
Identifying disease-associated miRNAs is helpful to explore the pathogenesis of diseases. However, without foreknowledge of the experimentally valid disease-associated miRNAs information, the development of promising and affordable approaches for ...
Yajie Meng   +3 more
doaj   +1 more source

Application of SHAP on CatBoost classification for identification of variabels characterizing food insecurity occurrences in Aceh Province households

open access: yesJurnal Natural, 2023
Classification is the process of building a model that can distinguish between different classes of data. The model aims to predict the class of testing data based on patterns or relationships learned from training data.
MUHAMMAD SUBIANTO   +4 more
doaj   +1 more source

Receiver operating characteristic curve with area under the curve (AUC) signifying model robustness.

open access: yes, 2022
Receiver operating characteristic curve with area under the curve (AUC) signifying model robustness.
Anil K. Bisht (12890220)   +4 more
core   +1 more source

Relationship between Vancomycin Area Under the Concentration-Time Curve (AUC) and Nephrotoxicity in Adults [PDF]

open access: yesOpen Forum Infectious Diseases, 2017
Abstract Background While recent data correlate vancomycin’s ratio of the area under the 24 hour time-concentration curve (AUC0−24h) to the pathogen’s minimal inhibitory concentration (MIC) of > 400 mg*hours/L with a favorable clinical outcome, data are sparse to correlate vancomycin AUC0−24h ...
David Allen, Mary Townsend, Richard Drew
openaire   +1 more source

Area Under Curve Receiver Operator Characteristic (AUC/ROC).

open access: yes, 2023
Area Under Curve Receiver Operator Characteristic (AUC/ROC) of the model achieving the highest accuracy (Fig 8, Model H) on the test set. (PNG)
David Harris-Birtill (4521286)   +5 more
core   +1 more source

Performances of depression detection through deep learning-based natural language processing to mandarin chinese medical records: Comparison between civilian and military populations

open access: yesTaiwanese Journal of Psychiatry, 2022
Objective: A certain portion of patients with depression is under-diagnosed and has attracted the attention in the field of natural language processing (NLP).
Tai- Yu Chen   +3 more
doaj   +1 more source

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