Road Mishap Risk Assessment using Machine Learning скачать в хорошем качестве

Road Mishap Risk Assessment using Machine Learning

This demo introduces the possibility of road accidents severity based on the provided dataset which creates awareness in the society and gives insights to the government about safety precaution need to be taken in accident-prone areas. The proposed prediction model will be built based on different machine learning algorithms on the basis of available data determines the accident severity, most frequent accidents in a particular region based on road conditions, age groups, and so many other factors. Development of Artificial Intelligence technologies pushing personalized analysis and predictions. Several processing techniques as undersampling and oversampling were tried. Our main aim is to predict the serious and fatal severity with high precision and F1 score. Six different classifiers were tried on this dataset. Random forest classifier worked best for our dataset. The prediction in the UI is based on that model. Github: https://github.com/fjpatil/Road_Misha...