<ul><li>Energy modulators (EM) are safety-critical components used to control shocks and impulses in a load path, commonly found in parachute systems.</li><li>Random Forest algorithm is used for data classification and can handle large datasets accurately, even with missing values.</li><li>Random forests create decision trees from random samples of data and combine them to make predictions.</li><li>A random forest analysis identified five key variables associated with damage and anomalous behavior in the parachute energy modulator system.</li></ul>

Statistical Analysis Using Random Forest Algorithm Provides Key Insights into Parachute Energy Modulator System

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