Modeling and Multivariate Methods - SAS

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636 Comparing Model Performance Chapter 25 Additional Example of Model Comparison Compare the Models 1. Select Analyze > Modeling > Model Comparison. 2. Select all columns that begin with Prob and click Y, Predictors. 3. Click OK. The Model Comparison report appears (Figure 25.7). Figure 25.7 Initial Model Comparison Report The report shows that the Partition model has slightly higher values for Entropy RSquare and Generalized RSquare and a slightly lower value for Misclassification Rate. 4. Select ROC Curve from the Model Comparison red triangle menu. ROC curves appear for each Type, one of which is shown in Figure 25.8. Figure 25.8 ROC Curve for Medium Examining all the ROC curves, you see that the two models are similar in their predictive ability. 5. Select AUC Comparison from the Model Comparison red triangle menu. AUC Comparison reports appear for each Type, one of which is shown in Figure 25.9.
Chapter 25 Comparing Model Performance 637 Additional Example of Model Comparison Figure 25.9 AUC Comparison for Medium The report shows results for a hypothesis test for the difference between the AUC values (area under the ROC curve). Examining the results, you see there is no statistical difference between the values for any level of Type. You conclude that there is no large difference between the predictive abilities of the two models for the following reasons: • The R Square values and the ROC curves are similar. • There is no statistically significant difference between AUC values.
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Version 10 Modeling and Multivariat
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INDIRECT OR CONSEQUENTIAL DAMAGES O
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6 Emphasis Options for Standard Lea
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8 Models with Crossed, Interaction,
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10 8 Analyzing Screening Designs Us
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12 Examining the Residuals . . . .
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14 Response Frequencies . . . . . .
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16 19 Analyzing Principal Component
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18 Interpreting the Profiles . . .
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20 Discriminant Analysis . . . . .
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Contents Book Conventions. . . . .
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Book C
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28 Learn about JMP Chapter 1 Additi
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30 Learn about JMP Chapter 1 Additi
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Contents Launch the Fit Model Platf
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Contents Example Using Standard Lea
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56 Fitting Standard Least Squares M
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100 Fitting Standard Least Squares
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Contents Overview of Stepwise Regre
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136 Fitting Stepwise Regression Mod
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Contents Example of a Multiple Resp
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158 Fitting Multiple Response Model
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Contents Overview of Generalized Li
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180 Fitting Generalized Linear Mode
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200 Performing Logistic Regression
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Contents Overview of the Screening
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232 Analyzing Screening Designs Cha
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Contents Introduction to the Nonlin
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244 Performing Nonlinear Regression
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Contents Overview of Neural Network
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280 Creating Neural Networks Chapte
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Contents Launching the Platform. .
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296 Modeling Relationships With Gau
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Contents Overview of the Loglinear
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306 Fitting Dispersion Effects with
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Contents Introduction to Partitioni
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318 Recursively Partitioning Data C
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Contents Launch the Platform . . .
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354 Performing Time Series Analysis
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Contents The Categorical Platform .
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386 Performing Categorical Response
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Contents Introduction to Choice Mod
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Contents Launch the Multivariate Pl
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444 Correlations and Multivariate T
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Contents Introduction to Clustering
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462 Clustering Data Chapter 18 The
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464 Clustering Data Chapter 18 Hier
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470 Clustering Data Chapter 18 K-Me
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472 Clustering Data Chapter 18 K-Me
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474 Clustering Data Chapter 18 Norm
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476 Clustering Data Chapter 18 Norm
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478 Clustering Data Chapter 18 Self
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480 Clustering Data Chapter 18 Self
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Contents Principal Components. . .
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484 Analyzing Principal Components
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Contents Introduction . . . . . . .
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494 Performing Discriminant Analysi
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Contents Surface Plots . . . . . .
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538 Plotting Surfaces Chapter 23 La
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544 Plotting Surfaces Chapter 23 Th
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546 Plotting Surfaces Chapter 23 Th
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548 Plotting Surfaces Chapter 23 Pl
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550 Plotting Surfaces Chapter 23 Pl
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Contents Introduction to Profiling
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556 Visualizing, Optimizing, and Si
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Page 640 and 641: 640 References Becker, R.A. and Cle
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Page 652 and 653: Contents The Response Models . . .
Page 654 and 655: 654 Statistical Details Appendix A
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686 Statistical Details Appendix A
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688 Statistical Details Appendix A
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690 Index Birth Death Subset.jmp 46
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694 Index test for curvature 46 Kru
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698 Index reliability analysis 453-
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700 Index Stable 363 Stable Inverti
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702 Index
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Modeling and Multivariate Methods - SAS

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