The obtained classification reports while evaluating the best model on the testing sets.</p
<p>p-values obtained with Wilcoxon test comparing the best classifier for each FSS method with the o...
Results of the descriptive statistics for the supplier criteria being evaluated.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
The obtained classification reports for the test sets after performing the cross-validation on the c...
The obtained classification reports for the test sets after performing the cross-validation on the K...
The results from the external validation of the models including model AD sizes for the test set.</p
The evaluation results based on four pretraining language models for two datasets.</p
<p>Results of model performance evaluation using different validation methods.</p
The evaluation results based on four simple machine learning models for two datasets.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Quantitative evaluation of the general classification models (Generic Classif.) applied on individua...
The evaluation results for the experimental group and the control group across other indicators.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Evaluation of generated models based on 10 BestFirst attributes obtained using CfsSubsetEval modu...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>p-values obtained with Wilcoxon test comparing the best classifier for each FSS method with the o...
Results of the descriptive statistics for the supplier criteria being evaluated.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p
The obtained classification reports for the test sets after performing the cross-validation on the c...
The obtained classification reports for the test sets after performing the cross-validation on the K...
The results from the external validation of the models including model AD sizes for the test set.</p
The evaluation results based on four pretraining language models for two datasets.</p
<p>Results of model performance evaluation using different validation methods.</p
The evaluation results based on four simple machine learning models for two datasets.</p
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Quantitative evaluation of the general classification models (Generic Classif.) applied on individua...
The evaluation results for the experimental group and the control group across other indicators.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
<p>Evaluation of generated models based on 10 BestFirst attributes obtained using CfsSubsetEval modu...
<p>The performance of different classifiers associated with the attribute selection methods assessed...
<p>p-values obtained with Wilcoxon test comparing the best classifier for each FSS method with the o...
Results of the descriptive statistics for the supplier criteria being evaluated.</p
<p>The classification performances of the 3 best classifiers for the 3 datasets.</p