Predictive analysis on startup acquisition status

Abstract

Start-up companies are newly established companies in a survival struggle. These organisations generally start with brilliant ideas and succeed. Every year, several start-ups start with ideas, but only a very small percentage of these ideas end up lasting. Multiple factors and values affect their survival. Henceforth a concept to forecast if the start-up will be successful or not in the long run is developed. Based on an analysis and forecast, the acquisition status of a startup is determined. This would make it easier for investors to put money into a startup business. By treating the skewed data without under-sampling or oversampling, this is accomplished. To attain more accuracy and performance, a novel model is suggested.