LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support vector machine. The ROC curves were plotted using the R packages “plotROC” [32] and “ggplot2” [33].</p
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
(A) CAE, TPR vs. FPR. (B) CAE, TNR vs. FNR. (C) Logit on sets, TPR vs. FPR. (D) Logit on sets, TNR v...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
Group 1: Demographic variables only; Group 2: Demographic plus clinical variables; Group 3: Demograp...
<p>QTc, Fridericia’s heart rate corrected QT interval; J-T<sub>peak</sub>c, heart rate corrected J-T...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>We show only the linear-kernel SVM and the Clustered Bayes 44 ROC curves to avoid excessive data ...
(A) CAE, TPR vs. FPR. (B) CAE, TNR vs. FNR. (C) Logit on sets, TPR vs. FPR. (D) Logit on sets, TNR v...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
To get back to a question asked after the last course (still on non-life insurance), I will spend so...
Group 1: Demographic variables only; Group 2: Demographic plus clinical variables; Group 3: Demograp...
<p>QTc, Fridericia’s heart rate corrected QT interval; J-T<sub>peak</sub>c, heart rate corrected J-T...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
<p>ROC curves for the five related methods and the two considered variants. The Random Forests class...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
ROC curves of the feature group AB using Random undersampling and One-SVM-US techniques on the datas...
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