In the field of fraud prediction, with transactional fraud raising every day; investors, board, management and business heads are keen to look at possibilities of detecting fraudulent transactions before they pass through the system. Machine learning algorithms bring efficiency in identifying potentially fraudulent transactions. Certain factors require critical consideration while adopting machine learning for fraud prediction. Through this article find out how these factors are vital in making an effort towards creating machine learning driven fraud prediction meaningful. Artificial intelligence has evolved into mainstream businesses over the past few years.