Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification

<table>Box plot graph showing the distribution of values of the distance between hypocenter and sensors (ER10 and NR10 represented distance between hypocenter and sensors for earthquake and nuclear earthquake, resp.).</table>

Abstract and Applied Analysis

fig2

Figure 2

Figure 2: Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification 

Figure 2 | Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification 