The best about this tool is that it helps to know what you have done wrong in order to improve your model performance by analyzing historical patterns found during training time. It also provides guidance if something needs improvement or not with its different charts for visualization purposes such as confusion matrix, precision-recall curves etc. I don't like how easy it would be to make mistakes while using them because they lack transparency when an issue occurs which could lead us into bad results after many hours/days working hard at improving our model performance. If you need more complex analytics support than just accuracy assessment then there's no better solution available today. We use prediction modeling tools to help predict customer behavior related topics where we take advantage of machine learning algorithms. This software has helped me solve some analytical issues regarding customers' behaviors using predictive analysis methods (support vector machines). Our target audience is mainly composed of individuals who want to develop new products using big data sets without having professional.