MANAGING AND MITIGATING HOUSING - PRICE PREDICTIONS USING A GENETIC ALGORITHM: A CASE OF KING COUNTY IN WASHINGTON, U.S.A

The current research aims to establish the effects of using machine learning algorithms to optimize predictions of housing prices. For the purpose of the study, dataset from the King County, Washington, United States of America is used. The conclusions the research expects to draw are to find a optimized algorithm to measure the success of housing price prediction during an increasingly hyper turbulent environment that are increasingly becoming more common. The approach is by applying a comparison mechanism between features selection and feature extraction in the predictions.