Research Article | Open Access
A COMPARATIVE STUDY ON DIFFERENT MACHINE LEARNING ALGORITHM IN PREDICTING THE PROFITABILITY OF COMPANIES
Pal Deka Dr. Manash Pratim Barman ,Dr. Jutimala Bora ,Dr. Toralima Bora
Pages: 1381-1391
Abstract
Predicting about the performance of companies with respect to its profitably is very important for the small investors. In this study, an attempt has been made to classify and predict companies listed under National Stock Exchange of India by using different machine learning techniques. A Sample of companies belonging to six different sectors are selected randomly which are classified into three clusters by using Kmeans clustering methods. Different evaluative techniques such as accuracy score, ROC curve and F1-score has been used to compare the machine learning algorithms. From the results, the Decision tree classifier is found to
be the best fitted model
Keywords
NSE, K-means clustering, machine learning algorithm, ROC-curve