Model Effects
The Model Effects tab contains the following elements:
• | Hierarchical Clustering |
This analysis clusters the frequency of occurrence of each individual predictor across the CVMC iterations of all of the methods as well as an overall frequency. Predictors occurring at the top of the display occur most frequently and are likely the best predictors for the response. Study the Heat Map and Dendrogram to see which methods chose which predictors most frequently. Darker shades of gray indicate higher frequencies. The column dendrogram reveals which method behaved similarly in terms of choosing predictors. The row dendrogram reveals which predictors entered methods with similar frequencies.
See Hierarchical Clustering for more information.