Figure 1
From: Automating document classification for the Immune Epitope Database
Comparison of popular text classification algorithms. The performance of four well-known text classification algorithm was evaluated on our dataset via 10-fold cross-validation. The ROC curve shows that the Naïve Bayes classifier performs best on our dataset. The AUC values for the four classifiers are as follows: Naïve Bayes classifier: 0.838; Neural Network: 0.831; Support Vector Machine: 0.825; Decision Tree: 0.809.