<p>The average performances of different individual feature-based models, evaluated on IMMA2 by 20 independent runs of the 10-CV.</p
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Evaluation of the performances of the different prediction models on all the pendulums.</p
<p>Performance of AVPpred and EAPpred models on independent test set V<sup>26p+26n</sup>.</p
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
A. Quantification of the effect of COBRA (Constraint-Based Reconstruction and Analysis)—based featur...
<p>Performance of Selected Features in PaceRegression Models (<i>n</i> = 547).</p
<p>Comparison of predictive performances of single feature classes. All values are taken from SVM pr...
<p>Performance comparisons between three different models using breast cancer datasets.</p
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Performance of different discrimination models on NIPT prediction using ten selected features.</p
Performance comparison between individual models and the ensemble approach in the local and external...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Evaluation of the performances of the different prediction models on all the pendulums.</p
<p>Performance of AVPpred and EAPpred models on independent test set V<sup>26p+26n</sup>.</p
<p>The average AUC scores of individual feature-based models using different values for λ, evaluated...
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
A. Quantification of the effect of COBRA (Constraint-Based Reconstruction and Analysis)—based featur...
<p>Performance of Selected Features in PaceRegression Models (<i>n</i> = 547).</p
<p>Comparison of predictive performances of single feature classes. All values are taken from SVM pr...
<p>Performance comparisons between three different models using breast cancer datasets.</p
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Segmentation performance of different models in terms of Se, Sp, Acc and Auc.</p
Performance of different discrimination models on NIPT prediction using ten selected features.</p
Performance comparison between individual models and the ensemble approach in the local and external...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Evaluation of the performances of the different prediction models on all the pendulums.</p
<p>Performance of AVPpred and EAPpred models on independent test set V<sup>26p+26n</sup>.</p
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