Machine Learning Prediction Model for Suicidal Rate Among the Continent

Abstract

Suicide is frequently induced by a variety of factors. Above all, it's regarded as a mental illness. Because there is a link between mental illness and suicide. People commit suicide because they are depressed and anxious about their lives. Artificial intelligence and machine learning are two terms that are often used interchangeably. This is regarded as a watershed moment in the history of computing. We'll use machine learning to figure out what percentage of people die by suicide around the world. In this study, we use a variety of classification algorithms to identify each country's suicide predictor level. The Random Forest Classifier is the most accurate model. In our model, the Low class has 100 percent precision and recall, the Medium class has 96 percent precision and recall, and the High class has 90 percent precision and 88 percent recall.