<p>Note: the values on the new independent dataset are shown in the parentheses.</p
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>The effect of the number of sequence features used on the overall prediction accuracies for the t...
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
<p>The prediction results compared with other methods on the independent testing dataset.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Results of a Friedman test to compare prediction methods across different datasets and feature se...
<p>Comparison of the classification results of original and selected features.</p
<p>Results of a Friedman test to compare feature selection methods in terms of classification accura...
<p>Explicit judgment prediction using different feature sets. (Best viewed in digital format).</p
<p>Prediction results of the original feature set and the optimal feature set.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Comparison of accuracy and feature dimension under different methods based on tree.</p
Predictive accuracies of classifiers against benchmark datasets with varying percentages of retained...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>The effect of the number of sequence features used on the overall prediction accuracies for the t...
<p>Comparison of sensitivity shown by different prediction methods on the independent datasets.</p
<p>The prediction results compared with other methods on the independent testing dataset.</p
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Results of a Friedman test to compare prediction methods across different datasets and feature se...
<p>Comparison of the classification results of original and selected features.</p
<p>Results of a Friedman test to compare feature selection methods in terms of classification accura...
<p>Explicit judgment prediction using different feature sets. (Best viewed in digital format).</p
<p>Prediction results of the original feature set and the optimal feature set.</p
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
Comparison of accuracy and feature dimension under different methods based on tree.</p
Predictive accuracies of classifiers against benchmark datasets with varying percentages of retained...
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
Comparison of the classification accuracies of different algorithms and different feature fusion met...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>The effect of the number of sequence features used on the overall prediction accuracies for the t...
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