Data mining-related command compilation: Classification (xtclassify)

As forxtclassify, numerical attribute, category attribute and character string pattern attribute as explanatory attribute from the data which it has, it is the command which forms the taxonomic model by the decision tree. In order to manage this command, below regarding the taxonomic model, it is necessary to understand the kind of story which is the table of contents.

Two divergences (binary split)
Entropy gain
Error-based Pruning

• The taxonomic model by the decision tree?
• Precision of the model is presumed
• The basic application of xtclassify
• How doing, as for the decision tree being constructed?
  • Divergence rule
  • Pruning
  • Example 3
  • Treatment of NULL data
  • Example 4
• The model formation which is based on character string pattern attribute
  • About BONSAI
  • Example 5
  • The expansion of BONSAI
  • Example 6
• Output of the model with PMML
  • Example 7
• The unknown data is estimated
• The decision tree is expressed with rule gathering