Minitab – Additional Modules You can complement your Minitab software by the following optional, chargeable additional modules: Predictive Analytics Module With this module, users can extend the CART®technology already integrated in Minitab by the algorithms TreeNet® and Random Forest® ffor machine learning. Both tree-based algorithms are especially useful for mapping nonlinear relations and can handle fuzzy data, which other methods face difficulties with. Both algorithms, TreeNet as well as Random Forest, are very accurate and easy to interpret. The Automated Machine Learning (AutoML) helps Minitab to select and display the model best suited from the algorithms CART (Classification and Regression Tree), TreeNet and Random Forest for predictive analytics. More about Minitab’s additional modulel: Predictive Analytics Healthcare Module The Healthcare module provides experts in healthcare and hospital management with a guided data analysis. The focus here lies on improving typical performance indicators. No statistical knowledge is necessary to select the appropriate analysis method. More about Minitab’s additional module: Healthcare Insurance Module The Insurance Module offers insurance experts a guided data analysis, so they can focus on improving key perfomance indicators without the need to learn additional statstics. More about Minitab’s additional module: Insurance Measurement System Analysis Module The Measurement System Analysis Module enables Minitab users to solve the most common MSA challenges without the need for additional statistical knowledge by providing a guided data analysis. More about Minitab’s additional module: Measurement System Analysis Sample Size Module The Sample Size module provides a guided data analysis to estimate the required sample size to determine whether the analysis, which should be perfomed, will have enough power to meet the needs. More about Minitab's additional module: Sample Size
