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Mental Health Predictive Analysis Using Machine-Learning Techniques,n Tree (DT), Random Forest (RF) and K-Nearest Neighbor’s (KNN). For this study, the dataset is taken from the Kaggle Repository. On comparing the performance of these models using Accuracy, Precision, Area under the Curve (AUC), we find that Decision Tree is the best-suited model with Kaggle dataset yielding the accuracy of 82%.

airborne

Book 2020s purpose the actual execution with all its steps is described in chapter 3. Next, chapter 4 looks at the follow-ups, which are often neglected or even completely forgotten. Chapter 5 describes from a participant’s point of view the reasons for participating in a hackathon and which aspects guarante