Fig. 2. Prediction accuracy of different spatial methods.

Linear SVM (A), RBF SVM (B), and Random Forests (C) are performed on the top of each spatial representation method across 13 data, respectively. Each method is run for 5 times. The accuracy is measured using tenfold cross-validation. Error bars are based on mean and 95% confidence interval. Source data are provided as a Source Data file.