<p>The assessment results of the proposed model in comparison with the all other thirteen methods based on the five binary-class data sets by applying the six commonly used performance evaluation criteria.</p
<p>It shows the comparison results of the regression based on classification, SVM direct regression,...
The experimental results between different methods are reported in this table. (XLSX)</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The symbol “*” implies that the Friedman's test was statistically significant (P-V<0.05).</p><p>T...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
The evaluation metrics computed from best result of the BHCNet-6 in each magnification factor and co...
<p>Assessment of the performance of PB-kPRED and comparison with other previously reported methods.<...
<p>Results of model performance evaluation using different validation methods.</p
<p>Evaluation results for different combinations of binarization and learning methods on the four ne...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Overall performance results for the benchmark dataset using four different methods and consensus ...
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>It shows the comparison results of the regression based on classification, SVM direct regression,...
The experimental results between different methods are reported in this table. (XLSX)</p
<p>Classification performances of the proposed method according to the number applied base classifie...
<p>The assessment results of the proposed model in comparison with the all other thirteen methods ba...
Comparing performance of the proposed methods built with different number of individual models.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The symbol “*” implies that the Friedman's test was statistically significant (P-V<0.05).</p><p>T...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
The evaluation metrics computed from best result of the BHCNet-6 in each magnification factor and co...
<p>Assessment of the performance of PB-kPRED and comparison with other previously reported methods.<...
<p>Results of model performance evaluation using different validation methods.</p
<p>Evaluation results for different combinations of binarization and learning methods on the four ne...
<p>The performances of the different classification algorithms as a function of the number of trials...
<p>Overall performance results for the benchmark dataset using four different methods and consensus ...
<p>Performance evaluation of various classifier and feature selection methods.</p
<p>It shows the comparison results of the regression based on classification, SVM direct regression,...
The experimental results between different methods are reported in this table. (XLSX)</p
<p>Classification performances of the proposed method according to the number applied base classifie...