The average accuracy, AUPRC, and MCC of the supervised learning models for the main dataset.</p
An average predictive accuracy graph using training datasets for threshold value identification.</p
<p>Accuracy and F<sub>1</sub> score achieved by the final MLP model when predicting the activity ove...
The evaluation results based on four simple machine learning models for two datasets.</p
The average accuracy, AUPRC, and MCC of the supervised learning models for the external dataset.</p
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the main data...
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the external ...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Average training (ten animals) and testing (two unseen animals) accuracy of machine learning mode...
<p>Average AUC obtained from each learning system by MLKNN for each expression dataset.</p
<p>The average precision for active learning versus most confident (MC) prediction selection.</p
<p>Log-weight accuracy rates for the machine learning and linear regression models.</p
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...
An average predictive accuracy graph using training datasets for threshold value identification.</p
<p>Accuracy and F<sub>1</sub> score achieved by the final MLP model when predicting the activity ove...
The evaluation results based on four simple machine learning models for two datasets.</p
The average accuracy, AUPRC, and MCC of the supervised learning models for the external dataset.</p
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the main data...
The 95% confidence intervals of accuracy and MCC of the supervised learning models for the external ...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Average training (ten animals) and testing (two unseen animals) accuracy of machine learning mode...
<p>Average AUC obtained from each learning system by MLKNN for each expression dataset.</p
<p>The average precision for active learning versus most confident (MC) prediction selection.</p
<p>Log-weight accuracy rates for the machine learning and linear regression models.</p
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p
Performance of machine learning models on test set using the original imbalanced training set.</p
Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...
An average predictive accuracy graph using training datasets for threshold value identification.</p
<p>Accuracy and F<sub>1</sub> score achieved by the final MLP model when predicting the activity ove...
The evaluation results based on four simple machine learning models for two datasets.</p
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