STATISTICAL AND MACHINE TECHNIQUES FOR ASSESSING THE STATUS OF STARTUPS

We are in the midst of an entrepreneurial revolution that is spreading to nearly every nook and corner on the planet. Even countries plagued with political strife or in the midst of a deep recession are seeing a surge in start-up activity. In this paper, we have used some of the statistical and data mining techniques for predicting the status of startups. Sections 3, 4, 5 and 6deal with Logistic Regression, Decision Trees, Ensemble Learning and Boosting methods respectively for finding some of the factors that determining the successes or failures of the Startups and comparison of the methods.