<p>The metric in mean (standard deviation) of 10 iterations on 15-fold cross-validation test for the proposed classification model using Random Forest.</p
Random forest classification results for the whole dataset with stratified k-fold and oversampling.<...
<p>The number of misclassified samples for each run and the final accuracy using 10-fold cross-valid...
<p>Performance of random forest model for cocaine and saline treatment measured by 5-fold cross vali...
Performance metrics of the final prediction model on the test set using the random forest method.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
Performance metrics of the prediction models using logistic regression and random forest methods wit...
Model performance measures for the indicated outcomes using a random forest algorithm.</p
<p>Standard Deviations of classification results for external cross validation with MLP and their av...
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
<p>Standard Deviations of classification results for external cross validation with J48 and their av...
<p>Standard Deviations of classification results for external cross validation with SMO and their av...
For each validation set the following metrics were calculated: RMSE, Pearson’s correlation coefficie...
Five-fold cross-validation results performed by random forest classifier combined with the proposed ...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Critical performance metrics for each models and cross validation set (standard deviation shown in p...
Random forest classification results for the whole dataset with stratified k-fold and oversampling.<...
<p>The number of misclassified samples for each run and the final accuracy using 10-fold cross-valid...
<p>Performance of random forest model for cocaine and saline treatment measured by 5-fold cross vali...
Performance metrics of the final prediction model on the test set using the random forest method.</p
<p>Performance of the random forest classifier for the positive class in 10-fold cross-validation.</...
Performance metrics of the prediction models using logistic regression and random forest methods wit...
Model performance measures for the indicated outcomes using a random forest algorithm.</p
<p>Standard Deviations of classification results for external cross validation with MLP and their av...
(A) Importance ranking of the included variables. (B) Ten-fold cross-validation of the random forest...
<p>Standard Deviations of classification results for external cross validation with J48 and their av...
<p>Standard Deviations of classification results for external cross validation with SMO and their av...
For each validation set the following metrics were calculated: RMSE, Pearson’s correlation coefficie...
Five-fold cross-validation results performed by random forest classifier combined with the proposed ...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
Critical performance metrics for each models and cross validation set (standard deviation shown in p...
Random forest classification results for the whole dataset with stratified k-fold and oversampling.<...
<p>The number of misclassified samples for each run and the final accuracy using 10-fold cross-valid...
<p>Performance of random forest model for cocaine and saline treatment measured by 5-fold cross vali...