<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10% data.</p
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
<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%...
<p>Performance of LBtope models on Lbtope_Confirm and Lbtope_positive_fbcpred_negative datasets.</p
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Performances of different methods for predicting B-cell epitopes evaluated on the DiscoTope datas...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>The feature vectors are obtained by one-versus-one CSP methods. The performance of BLDA and EBLDA...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>Each plot follows the performance of a regression model as complexity increases. For lasso (top p...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
<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%...
<p>Performance of LBtope models on Lbtope_Confirm and Lbtope_positive_fbcpred_negative datasets.</p
Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p
<p>These models were developed using 5-fold cross-validation on 90% data and tested on remaining 10%...
Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p
<p>Performances of different methods for predicting B-cell epitopes evaluated on the DiscoTope datas...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The performance of our method LBtope on ABCpred dataset and performance of ABCpred on dataset Lbt...
<p>The feature vectors are obtained by one-versus-one CSP methods. The performance of BLDA and EBLDA...
Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...
<p>Each plot follows the performance of a regression model as complexity increases. For lasso (top p...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
<p>The upper panel illustrates the combination of the inner cross-validation loop, which is used to ...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
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