Selection of a machine learning algorithm for OSHA fatalities

Traditional programming has already cleared its path to machine learning. With the abundance of data that is available in different applications and fields, it has grown exponentially in the past years. With the available data, machine learning models can predict the output. The different models that have been used have transformed a wide range of real-world applications. Workplace safety is one of the most important factors that make an organization successful. Every organization has a plan that describes what employees should do in order to prevent injury, but still, accidents happen at the workplace. Accident related data is available with the Occupational Safety and Health Administration (OSHA). There are different machine learning algorithms that are used to predict the required output. In this paper, the authors are investigating different machine learning algorithms and their accuracy to the predicted results.