Assessment of Machine Learning Techniques for Gold Price Predictions

Machine learning techniques will critically investigate the collected data and it generates the patterns which help to make better decisions.This study applied machine learning techniques such as linear, Random forest and support vector regressions on gold price predictions. These three are very popularmethods to find the variations and patterns in the data. This paper is focused on identifying the suitable machine learning technique among the selected three methods for future gold price predictions.Time series data of latest 240 months gold prices in rupees is selected for the study. Linear regression, Random forest regression and support vector regression using python are applied to develop the models for price predictions. Among the three methods linear regression is found as a suitable method for the collected data to predict the future gold prices.