<p>TP = True positives, FP = False positives, Precision = TP/(TP+FP),</p><p> </p
<p>Note: The first, the second and the third rows respectively represents the correlation coefficien...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Performance on predictor and outcome variables for the total study sample (N = 17).</p
<p>Performance of AVPpred and EAPpred models on independent test set V<sup>26p+26n</sup>.</p
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>Experimental results on testing datasets (P = Precision, R = Recall, F = F-Score).</p
Number of true positives (TP) and false positives (FP) found in the different simulations: with and ...
Model-based accuracy of screening and diagnostic tests per category compared to the modelled true st...
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Parameter tests for within the models for each of the four RQA measures R→O condition.</p
<p>Five tests of the accuracy of our model predictions, comparing values predicted by our model with...
<p>Boxplot showing the distribution of recall, precision and AUC values for 1000 prediction models g...
Parameter tests for within the models for each of the four RQA measures R→O condition.</p
Parameter tests for within the models for each of the four RQA measures O→R condition.</p
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
<p>Note: The first, the second and the third rows respectively represents the correlation coefficien...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Performance on predictor and outcome variables for the total study sample (N = 17).</p
<p>Performance of AVPpred and EAPpred models on independent test set V<sup>26p+26n</sup>.</p
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>Experimental results on testing datasets (P = Precision, R = Recall, F = F-Score).</p
Number of true positives (TP) and false positives (FP) found in the different simulations: with and ...
Model-based accuracy of screening and diagnostic tests per category compared to the modelled true st...
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Parameter tests for within the models for each of the four RQA measures R→O condition.</p
<p>Five tests of the accuracy of our model predictions, comparing values predicted by our model with...
<p>Boxplot showing the distribution of recall, precision and AUC values for 1000 prediction models g...
Parameter tests for within the models for each of the four RQA measures R→O condition.</p
Parameter tests for within the models for each of the four RQA measures O→R condition.</p
Sensitivity and specificity of the prediction model, with samples above the cut-off of 50% probabili...
<p>Note: The first, the second and the third rows respectively represents the correlation coefficien...
<p>Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....
<p>Performance on predictor and outcome variables for the total study sample (N = 17).</p
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