Download
1 / 24
310 likes | 990 Views
Chapter 9: Special Topics. Chapter 9: Special Topics. Chapter 9: Special Topics. Ensemble Models. Combine predictions from multiple models to create a single consensus prediction. Creating Ensemble Models. This demonstration illustrates creating ensemble models.
E N D
Ensemble Models Combine predictions from multiple models to create a single consensus prediction. ...
Creating Ensemble Models This demonstration illustrates creating ensemble models. It is a continuation of the demonstration from the end of Chapter 7.
Input Selection Alternatives Sequential selection Univariate + forward selection (R-square) Tree-like selection (Chi-square) Variable Importance in the Projection (VIP) Split search selection
Using the Variable Selection Node This demonstration illustrates how to use the Variable Selection node with the R-square setting.
Using Partial Least Squares for Input Selection This demonstration illustrates the use of partial least squares (PLS) for input selection.
Using the Decision Tree Node for Input Selection This demonstration illustrates selecting inputs for flexible predictive models using decision trees.
40% Categorical Input Consolidation x EFGHI Combine categorical input levels that have similar primary outcome proportions. ABCDJ x x2 HI EFG x J ABCD 70% 55% 60%
Consolidating Categorical Inputs This demonstration illustrates how to use a tree model to group categorical input levels and create useful inputs for regression and neural network models.
Surrogate Models neural network decision boundary surrogate decision boundary Approximate an inscrutable model’s predictions with a decision tree. ...
Describing Decision Segments with Surrogate Models This demonstration illustrates using a decision tree to isolate cases found solicitation-worthy by a neural network model.
What Is SAS Rapid Predictive Modeler? • A task for SAS Enterprise Guide 4.3 and the SAS Add-In for Microsoft Office 4.3 for Excel • A way to construct useful predictive models quickly
RPM Key Capabilities • Prebuilt basic, intermediate, and advanced models • “Load your data and go!” • Presents customizable results as simple, easy-to-understand reports • Allows models to be refined in SAS Enterprise Miner
Running a Basic RPM Model This demonstration illustrates how to run a basic RPM model in SAS Enterprise Guide 4.3.
Running an Intermediate RPM Model (Self-Study) This demonstration illustrates how to run an intermediate model in SAS Enterprise Guide 4.3.
Opening an RPM Model in SAS Enterprise Miner This demonstration illustrates how to open an RPM model in SAS Enterprise Miner.
Registering an RPM Model This demonstration illustrates how to register an RPM model in the SAS Metadata Repository.
Scoring in SAS Enterprise Guide with a Registered Model This demonstration illustrates how to score a registered RPM model in SAS Enterprise Guide.
