Avoidance of Suicidal Bombing Attack in Pakistan Using Machine Learning Models

Suicide attack of terrorists fear is a standout amongst the most horrendous difficulties for Pakistan as the nation has been the essential and most regular focus of suicide terrorism in the whole world during ongoing years. Suicide is a genuine psychological issue that needs our consideration, and to control and avoid, it is not a simple task. In this paper, we propose a suicidal attack early detection system, for predicting the suicidal acts using data that can automatically analyze the circumstances related to those attacks. Then, we explore tools of machine learning to extract useful information for classification algorithms. Experimental results show that our method for analyzing the suicidal attack data by applying machine learning models verify the effectiveness of performance to control further suicidal attempts.