Skip to content

Readme.md

Latest commit

 

History

History
28 lines (21 loc) · 995 Bytes

Readme.md

File metadata and controls

28 lines (21 loc) · 995 Bytes
Raw

SPSSINC RANFOR

Estimate random forest

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.

Requirements

  • IBM SPSS Statistics 18 or later and the corresponding IBM SPSS Statistics-Integration Plug-in for R.

Installation intructions

  1. Open IBM SPSS Statistics
  2. Navigate to Utilities -> Extension Bundles -> Download and Install Extension Bundles
  3. Search for the name of the extension and click Ok. Your extension will be available.

License

  • Apache 2.0

Contributors

  • JKP, IBM SPSS