Performance evaluation of machine learning algorithms for predicting liquefaction-induced lateral displacement.

Key Points

• The aim is to evaluate different machine learning algorithms for their effectiveness in predicting lateral displacement caused by liquefaction.
• Utilized multiple machine learning algorithms for prediction.
• Conducted sensitivity analysis to determine key influencing parameters.
• Analyzed performance through metrics such as accuracy and precision.
• Identified specific algorithms exhibiting high sensitivity to liquefaction parameters.
• Results indicate varying levels of accuracy across different machine learning models.