Figure 1. The overall framework of TPP predictors using machine learning methods. The 1st phase is dataset preparation to form training and independent datasets. The 2nd phase is feature extraction and feature optimization. The 3rd phase is to train and evaluate a prediction model. The independent dataset is used to validate the effectiveness and robustness of the prediction model. Finally, the optimal prediction model is selected to establish a web server.