Machine Learning Based Suicide Ideation Prediction for Military Personnel

Suicide is increasingly becoming a serious concern for the society. In fact, it is one of the largest cause of deaths in today’s world. Hence it is necessary to stop this menace by developing accurate prediction systems based on available data. The paper primarily analysis the suicide data, identify significant attributes contributing towards suicide attempt and predict future such attempts with significant precision. A comparison between 2 machine learning algorithms: - Decision Tee, and Naïve Bayes for suicide prediction has been made here. The scope of this research is to understand the effectiveness of these algorithms for preventing future suicides.

Keywords: Data Analysis, Machine Learning, Data Prediction, Logistic Regression, Random Forest, Naïve Bayes.