<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cross validation.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
<p>Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p
<p>OSWLDA, OPCALDA and OLDA were trained on 8100 ERPs. Then the data set A was classified by those c...
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
<p>Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets...
Performance of different modules on training sets using 5-fold cross-validation.</p
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Performance comparison of Bayesian network classifiers using validation dataset.</p
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
<p>Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p
<p>OSWLDA, OPCALDA and OLDA were trained on 8100 ERPs. Then the data set A was classified by those c...
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
<p>Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets...
Performance of different modules on training sets using 5-fold cross-validation.</p
<p>The prediction results compared with other methods on the training dataset using 10-fold cross-va...
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Performance comparison of Bayesian network classifiers using validation dataset.</p
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
<p>Accuracies are mean accuracies of test set performance over ten folds. (* 0.001</p
<p>OSWLDA, OPCALDA and OLDA were trained on 8100 ERPs. Then the data set A was classified by those c...
DOI
Add to ORKG