Prediction of occurrence of extreme events using machine learning

Machine learning models play a vital role in the prediction task several fields of study. In this work, we utilize ability machine algorithms to predict occurrence extreme events nonlinear mechanical system. Extreme are rare that occur ubiquitously nature. We consider four models, namely Logistic Regression, Support Vector Machine, Random Forest and Multi-Layer Perceptron our task. train these using training set data compute performance each model test data. show performs better among considered The persistent behaviour is cross-checked with randomly shuffled