<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10% data.</p
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>Cross-validated performance estimates for single-source and multi-source models.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Performance of LBtope models on Lbtope_Confirm and Lbtope_positive_fbcpred_negative datasets.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Performance metrics of the prediction models using logistic regression and random forest methods wit...
Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>Cross-validated performance estimates for single-source and multi-source models.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Performance of LBtope models on Lbtope_Confirm and Lbtope_positive_fbcpred_negative datasets.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
Performance metrics of the prediction models using logistic regression and random forest methods wit...
Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all...
<p>Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>The correct rates (%) were derived with systematically varying number of labels (L), number of sa...
<p>Cross-validated performance estimates for single-source and multi-source models.</p
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