<p>First model (-∙-) includes standing bouts (AUC = 0.81), second model (─) includes walking speed<sub>calc</sub> (AUC = 0.88); third model (- -) includes walking speed<sub>calc</sub> and the number of standing bouts (AUC = 0.96); fourth model (∙∙∙) includes walking speed<sub>calc</sub>, the number of standing bouts and the eating time (AUC = 0.96). NRS = numerical rating system according to Flower and Weary [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0155796#pone.0155796.ref038" target="_blank">38</a>]. AUC = area under the receiver operating characteristics curve.</p
<p>The area under the curve (AUC) is 0.76, suggesting a strong ability to discriminate between true ...
<p>The Receiver’s Operating Characteristic Curves obtained for animal model classifiers.</p
The objective of this study was to develop and validate a mathematical model to detect clinical lame...
<p>Results of univariable logistic regression and receiver operating characteristics analysis of a c...
<p>ROC: receiver operating characteristic. AUC: area under the curve. Walking conditions: UP = Usual...
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p>Receiver Operating Characteristic curve (ROC) curve associated with the logistic regression model...
<p>(A) Parameters of each model. (B) The ROC curve of a model consisting of rs9351963+MMC+ Amrubicin...
The hypothesis was that sensors currently available on farm that monitor behavioral and physiologica...
<p>Based on the L1-regularized logistic regression model with six proteins, a receiver operating cha...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>Each ROC curve displays the sensitivity versus one minus specificity for each logistic regression...
(a) Nankeen Kestrel data set, (b) Straw-necked Ibis data set, (c) Cattle Egret data set.</p
Lameness is still an important problem in modern dairy farming. Human observation of locomotion, by ...
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
<p>The area under the curve (AUC) is 0.76, suggesting a strong ability to discriminate between true ...
<p>The Receiver’s Operating Characteristic Curves obtained for animal model classifiers.</p
The objective of this study was to develop and validate a mathematical model to detect clinical lame...
<p>Results of univariable logistic regression and receiver operating characteristics analysis of a c...
<p>ROC: receiver operating characteristic. AUC: area under the curve. Walking conditions: UP = Usual...
The curves represent the average curves for the 20 ANN and 20 logistic models. The area under the RO...
<p>Receiver Operating Characteristic curve (ROC) curve associated with the logistic regression model...
<p>(A) Parameters of each model. (B) The ROC curve of a model consisting of rs9351963+MMC+ Amrubicin...
The hypothesis was that sensors currently available on farm that monitor behavioral and physiologica...
<p>Based on the L1-regularized logistic regression model with six proteins, a receiver operating cha...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>Each ROC curve displays the sensitivity versus one minus specificity for each logistic regression...
(a) Nankeen Kestrel data set, (b) Straw-necked Ibis data set, (c) Cattle Egret data set.</p
Lameness is still an important problem in modern dairy farming. Human observation of locomotion, by ...
<p>Receiver operating characteristic (ROC) curves for different machine learning models.</p
<p>The area under the curve (AUC) is 0.76, suggesting a strong ability to discriminate between true ...
<p>The Receiver’s Operating Characteristic Curves obtained for animal model classifiers.</p
The objective of this study was to develop and validate a mathematical model to detect clinical lame...