Performance of sparse and non-sparse discriminant models in internal validation compared on the same dataset.</p
The performance of the proposed model at two extreme thresholds with different sparsity.</p
Comparison of the performance of the KISM model on datasets with the state-of-the-art methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Performance comparison between individual models and the ensemble approach in the local and external...
Performance comparison of Bayesian network classifiers using validation dataset.</p
Selected explanatory variables in sparse and non-sparse discriminant models for seed quality evaluat...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Performance comparison of a species-specific predictor using the test dataset.</p
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
The performance of the proposed model at two extreme thresholds with different sparsity.</p
Comparison of the performance of the KISM model on datasets with the state-of-the-art methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...
Performance of sparse and non-sparse discriminant models in internal validation compared on the same...
Performance comparison between individual models and the ensemble approach in the local and external...
Performance comparison of Bayesian network classifiers using validation dataset.</p
Selected explanatory variables in sparse and non-sparse discriminant models for seed quality evaluat...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Performance comparison of a species-specific predictor using the test dataset.</p
Comparison of unassisted and model-assisted performance metrics of clinical experts on the validatio...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparing performance of the proposed methods built with different number of individual models.</p
<p>The performance of models on an independent datasets, these models were developed on standard dat...
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Overall performance comparison against each classifier for Drebin Dataset.</p
The performance of the proposed model at two extreme thresholds with different sparsity.</p
Comparison of the performance of the KISM model on datasets with the state-of-the-art methods.</p
<p>The performance of different classifiers associated with the attribute selection methods assessed...