<p>A comparison of the training performance, test accuracy, and uncertainty among classifiers in variant classification schemes.</p
This article reviews five approximate statistical tests for determining whether one learning algorit...
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Train and test accuracy for selected classifiers for different projection methods.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
This paper reviews five statistical tests for determining whether one learning algorithm outperforms...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The performances of the different classification algorithms as a function of the number of trials...
Comparison of using different data compositions of synthetic images for training the classifier and ...
This article reviews five approximate statistical tests for determining whether one learning algorit...
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Train and test accuracy for selected classifiers for different projection methods.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
This paper reviews five statistical tests for determining whether one learning algorithm outperforms...
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
<p>Comparison of the recognition rates of the proposed method with some popular classifiers in the l...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>The performances of the different classification algorithms as a function of the number of trials...
Comparison of using different data compositions of synthetic images for training the classifier and ...
This article reviews five approximate statistical tests for determining whether one learning algorit...
<p>Each algorithm trained using selected features and evaluated with 10-fold cross-validation. Value...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
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