Prediction of causes of Accidents using logistic Regression Algorithm

Abstract

The predictive analytics is an analytic technic which used to predict of unknown future or current events of a specific domain. Predictive analytics is such important where it can generate much valuable information of any organization to make business decision for future work. Today there are many incidents happens around us which perhaps couldn’t think of how it could have been happened as the related party who really engaged or impacted in to the incident might not be able to reach or some time it’s kind of incident where its mortal hence couldn’t survive of their life. One of such incident I could think of is, road motor vehicle accident happens and its cause is still hidden. But in many developed countries uses some high technic road camera to tackle these kinds of information of road motor vehicle accident or any other accident, but still it’s not practical to install such camera to all over the country in any country in the world.

This research provides a comprehensive road motor vehicle accident cause predictive model with high accuracy and reliable as it will be trained with more than six hundred thousand of large already collected dataset before it predicts any given accident information to predict the cause. This solution will be used supervised machine leaning algorithm is Logistic regression algorithm which has been identified specially by its performance, minimal error rate in cross validating of each attribute in accident data attributes and its cause.