This procedure builds random forests of classification or regression trees. It also supports unsupervised mode, in which case proximities are calculated. The companion procedure SPSSINC RANPRED calculates predictions for new data using the forest built by this procedure. Note: this version is a major rewrite of the older SPSSINC RANFOR procedure and no longer requires the Python plug-in.
Note: "Random Forest" is a trademark of Breiman and Cutler.
- IBM SPSS Statistics 18 or later and the corresponding IBM SPSS Statistics-Integration Plug-in for R.
- Open IBM SPSS Statistics
- Navigate to Utilities -> Extension Bundles -> Download and Install Extension Bundles
- Search for the name of the extension and click Ok. Your extension will be available.
- Apache 2.0
- JKP, IBM SPSS