Building Trust in Machine Learning Models (using LIME in Python)

The value is not in software, the value is in data, and this is really important for every single company, that they understand what data they've got. More and more companies are now aware of the power of data. Machine Learning models are increasing in popularity and are now being used to solve a wide variety of business problems using data. Having said that, it is also true that there is always a trade-off between accuracy of models & its interpretability. In general, if accuracy has to be improved, data scientists have to resort to using complicated algorithms like Bagging, Boosting, Random Forests etc. which are "Blackbox" methods.