preds_dwt = model_dwt.predict(fset_dwt)
print("Built-in cesium features: training accuracy={:.2%}, test accuracy={:.2%}".format(
accuracy_score(preds_cesium[train], eeg["classes"][train]),
accuracy_score(preds_cesium[test], eeg["classes"][test])))
print("Guo et al. features: training accuracy={:.2%}, test accuracy={:.2%}".format(
accuracy_score(preds_guo[train], eeg["classes"][train]),