AUC scores for selected classifiers (trained using CV_Mixed data) and tested on different versions of independent test set (e.g., TS_Random and TS_Coding).

<p>See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0119721#sec002" target="_blank">Methods</a> Section for more information about these test sets. For each data set, the rank of each classifier is shown in parentheses.</p><p>AUC scores for selected classifiers (trained using CV_Mixed data) and tested on different versions of independent test set (e.g., TS_Random and TS_Coding).</p

Summary of cross-validation data sets.

<p>Summary of cross-validation data sets.</p

Grading scale for classifiers based on their AUC scores.

<p>Grading scale for classifiers based on their AUC scores.</p

AUC scores for Naive Bayes classifier with 4-mer features (NB_4-mer) trained using seven versions of CV data and in each time tested on the seven versions of the independent test data.

<p>Each row corresponds to a specified training set while each column corresponds to a specified test set.</p><p>AUC scores for Naive Bayes classifier with 4-mer features (NB_4-mer) trained using seven versions of CV data and in each time tested on the seven versions of the independent test data.</p

AUC scores for Naive Bayes classifier with DNID features (NB_DNID) trained using seven versions of CV data and in each time tested on the seven versions of the independent test data.

<p>Each row corresponds to a specified training set while each column corresponds to a specified test set.</p><p>AUC scores for Naive Bayes classifier with DNID features (NB_DNID) trained using seven versions of CV data and in each time tested on the seven versions of the independent test data.</p

Performance comparison of BacPP, IPMD, and two variable-window Z-curve models, VWZ1 and VWZ2, trained using Datatset-1 and Datatset-2 (respectively) with four selected classifiers (NB_DNID, RF100_M7, HMM, and meta-predictor) using TS_Mixed independent test set.

<p>Performance comparison of BacPP, IPMD, and two variable-window Z-curve models, VWZ1 and VWZ2, trained using Datatset-1 and Datatset-2 (respectively) with four selected classifiers (NB_DNID, RF100_M7, HMM, and meta-predictor) using TS_Mixed independent test set.</p