Example of Discover Best Model (Binary Response) - Minitab
Open the sample data, HeartDiseaseBinaryBestModel.MWX. Choose Predictive Analytics Module > Automated Machine Learning > Discover Best Model (Binary Response). In Response, enter …
Overview of Discover Best Model (Continuous Response) - Minitab
To find the best model to predict a continuous response, choose Predictive Analytics Module > Automated Machine Learning > Discover Best Model (Continuous Response).
Using stepwise regression and best subsets regression - Minitab
Stepwise regression is an automated tool used in the exploratory stages of model building to identify a useful subset of predictors. The process systematically adds the most significant …
Enter your data for Discover Best Model (Continuous Response)
Predictive Analytics Module > Automated Machine Learning > Discover Best Model (Continuous Response)
Select an alternative model for - Minitab
Run Predictive Analytics Module > Automated Machine Learning > Discover Best Model (Binary Response). Select Select Alternative Model in the results.
Select the prediction results to display for - Minitab
Run Predictive Analytics Module > Automated Machine Learning > Discover Best Model (Binary Response). Click Predict > Results.
Specify the validation method for Discover Best Model (Binary …
Predictive Analytics Module > Automated Machine Learning > Discover Best Model (Binary Response) > Validation
Types of predictive analytics models in Minitab Statistical Software
Models from predictive analytics provide insights for a wide range of applications, including manufacturing quality control, drug discovery, fraud detection, credit scoring, and churn …
Overview of Fit Model and Discover Key Predictors for TreeNet ...
Fit Model Use Fit Model to build a single gradient boosted classification tree model for a categorical response with many continuous and categorical predictor variables. The results are …
Example of Automated Capability Analysis - Minitab
The engineers want to explore different options to find a reasonable method to estimate the capability of the process. Open the sample data, TileWarping.MWX. Choose Stat > Quality …