Fig. 5From: Segmentation characteristics of deep, low-frequency tremors in Shikoku, Japan using machine learning approachesSingle feature selected by 1st Fisher score and the corresponding classification rate on different tests (vertical bar) and SFS-based classification rate (square). The bars in brown are the test under Fisher criterion on experiment 1; blue on experiment 2; light coral on experiment 3; light green on experiment 4; dark green on experiment 5. The sequences of tests on each experiment are in Table 1. The bars in black are the classifications with low p-values and Fisher scores. The number above each circle denotes the total number of features in each subset for each test that met the optimum classification rateBack to article page