Fig. 3: FastMapSVM’s performance on identifying phases for station TA.109C in STEAD. | Communications Engineering

Fig. 3: FastMapSVM’s performance on identifying phases for station TA.109C in STEAD.

From: Classifying seismograms using the FastMap algorithm and support-vector machines

Fig. 3: FastMapSVM’s performance on identifying phases for station TA.109C in STEAD.The alternative text for this image may have been generated using AI.

Shows the “violin plot” for F1, accuracy, precision, and recall score distributions obtained by the learned model for classifying P- and S-wave phase arrivals at station TA.109C in the STEAD over 100 trials. The bottom, middle, and top horizontal bars represent the minimum, mean, and maximum values, respectively, for each distribution. Shaded blue regions show kernel density estimates for the distributions.

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