Machine Learning Based Attrition Prediction

The use of machine learning techniques and models has become widespread with diverse industries using them to glean greater insights from available data. Probabilistic estimation models are used in many cases, often in combination with other methods such as regression and decision trees. The current paper utilizes probabilistic estimation to predict attrition from the human resource database of a company with close to 1500 employees. The initial model is adaptively refined to improve the prediction capability of the model.