The area under the curve (AUC) was calculated with the multivariate-adjusted logistic regression model. Additionally, mixed-effects analyses were used to clarify the age-related ALM indices decline over 12years (n=1838). Crude Cox proportional hazard models and multivariate-adjusted logistic model (...
auc –Area under the curve. When to Use XGBoost? Consider using XGBoost for any supervised machine learning task when satisfies the following criteria: When you have large number of observations in training data. Number features < number of observations in training data. It performs well when...
Machine learning experts use a metric called area under the curve (AUC) to measure how well their algorithm can sort people into different groups. In this case, researchers programmed the algorithm to decide which people would survive and which would die within the year, and its success was me...
AUC(ss)area under the curve at steady state Copyright 1988-2018AcronymFinder.com, All rights reserved. Suggest new definition Want to thank TFD for its existence?Tell a friend about us, add a link to this page, or visitthe webmaster's page for free fun content. ...
In technical terms, apdf(probability density function)isthe derivativeofa cdf(cumulative distribution function). Furthermore, theAUC(Area Under the Curve)ofa pdfbetween negative infinity and xisequal tothevalue of xonthe cdf. For an in-depth explanation of the relationship between a pdf and a ...
out of 4). Hence, TPR = 2/3 and FPR = 1/4. Eventually, we can calculateTPRandFPRfor each threshold and plot it on a 2-D plane, as shown above. The area under this curve is the ROC-AUC. The more the thresholds, the smoother is the curve and the more accurate the metric is....
MAIN OUTCOMES AND MEASURES: Probability of breast cancer in individuals (area under the receiver operating characteristic curve [AUC]); incidence of breast cancer, fractures, thromboembolic events, coronary heart disease events, stroke, endometrial cancer, and cataracts; and mortality. ...
We will use the shuffled area under the curve, sAUC, score because of its ability to cater for center bias [41]; since some models implicitly incorporate center bias which makes a fair comparison difficult to perform, it is becoming standard to present results with sAUC. Saliency detection ...
aThe method achieved an overall accuracy of 84.5% and the area under the ROC curve(AUC) of 0.822 by Jackknife test, when a subset included 10 optimized features. 正在翻译,请等待... [translate] a薪酬的作用难以发挥,缺乏有效的绩效考核体系; The salary function displays with difficulty, lacks ...
By default, Prism ignores any peaks whose height is less than 10% of the distance from minimum to maximum Y value, but you can change this definition in the area under the curve parameters dialog. You can also tell it to ignore peaks that are very narrow. ...