ARC Code TI: IND: Creation and Manipulation of Decision Trees from Data

IND is applicable to most data sets consisting of independent instances, each described by a fixed length vector of attribute values. An attribute value may be a number, one of a set of attribute specific symbols, or omitted. One of the attributes is delegated the 'target' and IND grows trees to predict the target. Prediction can then be done on new data or the decision tree printed out for inspection.

Data and Resources

Field Value
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • geo
  • geoss
  • national
  • north-america
  • united-states
isopen False
license_id us-pd
license_title us-pd
maintainer Dennis Koga
maintainer_email dennis.koga@nasa.gov
metadata_created 2025-12-01T07:40:50.811454
metadata_modified 2025-12-01T07:40:50.811458
notes IND is applicable to most data sets consisting of independent instances, each described by a fixed length vector of attribute values. An attribute value may be a number, one of a set of attribute specific symbols, or omitted. One of the attributes is delegated the 'target' and IND grows trees to predict the target. Prediction can then be done on new data or the decision tree printed out for inspection.
num_resources 1
num_tags 8
title ARC Code TI: IND: Creation and Manipulation of Decision Trees from Data