Using machine learning to predict UK and Japanese secondary students' life satisfaction in PISA 2018.

Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches.

Objective: Using ML algorithms, the current study predicts secondary students' life satisfaction from individual-level variables.