Prediction of Water Consumption Using Machine Learning Algorithm

Abstract

Machine Learning has been successfully implemented in the real-world problems, its use in real world problems is to extract and identify valuable and new knowledge from the given data. In this paper a model which can predict water consumption by a person annually is developed. These days, water scarcity is major problem in metropolitan cities, so the main goal is to predict the water usage for upcoming years. The prediction of water consumption per year is crucial for conservation of water for future generations. In this regard, on regular basis important data and information are gathered and in order to maintain the quality set they are considered at appropriate authorities and standard. We collect the data of water usage by a person in the past few years, and integrate the data and utilise it. The gratification of the analysis of water consumption is attained by converting this data into knowledge. The supervised algorithms are used to predict the amount of water consumed and based on their accuracy predicted, user-friendly characteristics and ease of learning the performance of the learning methods were evaluated.