Results of five-fold cross-validation for U-Net and the proposed model in the test dataset.</p
<p>Results of cross-validation and predictive ability of the full-spectrum model and GA-PLS model.</...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
<p>It highlights the two nested loops. The outer cross-validation loop provides 10 performance estim...
Cross-validation test results for the context-specific algorithms under study.</p
Performance of different modules on training sets using 5-fold cross-validation.</p
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 classification results obtained through 5-fold cross validation with respect to dif...
<p>Cross-validation results on the Wheat (CIMMYT) dataset, averaged across 4 traits.</p
<p>K-fold cross-validation results for top resource selection function models.</p
The best score for each species model is highlighted in green. Models are displayed vertically in ro...
Cross-validation feature selection evaluation results for buffer_overflow data.</p
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
The obtained classification reports for the test sets after performing the cross-validation on the c...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Results of cross-validation and predictive ability of the full-spectrum model and GA-PLS model.</...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
<p>It highlights the two nested loops. The outer cross-validation loop provides 10 performance estim...
Cross-validation test results for the context-specific algorithms under study.</p
Performance of different modules on training sets using 5-fold cross-validation.</p
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 classification results obtained through 5-fold cross validation with respect to dif...
<p>Cross-validation results on the Wheat (CIMMYT) dataset, averaged across 4 traits.</p
<p>K-fold cross-validation results for top resource selection function models.</p
The best score for each species model is highlighted in green. Models are displayed vertically in ro...
Cross-validation feature selection evaluation results for buffer_overflow data.</p
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
The obtained classification reports for the test sets after performing the cross-validation on the c...
<p>10-Fold Cross Validation Accuracies of the classifiers applied to the Artificial dataset.</p
<p>Results of cross-validation and predictive ability of the full-spectrum model and GA-PLS model.</...
Detailed learning curves, confusion matrices, and AUC-ROC curves of each repeated 5 × 5-fold cross-v...
<p>It highlights the two nested loops. The outer cross-validation loop provides 10 performance estim...
DOI
Add to ORKG