Bankruptcy Prediction of companies is becoming increasingly significant in recent times as it enables stakeholders to act quickly and reduce their financial losses. To create bankruptcy prediction models, many machine learning techniques have been applied using financial features. However, there have been comparatively less research on how non-financial features like Corporate Governance indices can be used to predict a company’s performance. Hence, this thesis is motivated by the need of further research within bankruptcy prediction influenced by Governance indices using traditional machine learning models and neural networks as there has been very less research using only the governance indices as the contributing features.