Predicting stress levels in the Stress-Lysis dataset using Sliding Window approach

The present study aims to explore the utilization of a depression symptom database, employing classical machine learning techniques, with a focus on the Random Forest algorithm alongside other methodologies, to assess and diagnose stress levels.