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Snippet Name: PREDICTION_DETAILS

Description: PREDICTION_DETAILS is for use with decision tree models and single-feature Adaptive Bayes Network (ABN) models created by the DBMS_DATA_MINING package or with the Oracle Data Mining Java API. It returns an XML string containing model-specific information related to the scoring of the input row. In this release, the return value takes the following form:



where integer is the identifier of a data mining tree node. The form of the output is subject to change. It may be enhanced to provide additional prediction information in future releases.

This example uses all attributes from the mining_data_apply_v view that are relevant predictors for the DT_SH_Clas_sample decision tree model. For customers who work in technical support and are under age 25, it returns the tree node that results from scoring those records with the DT_SH_Clas_sample model.

This example can be found in the demo files $ORACLE_HOME/rdbms/demo/dmdtdemo.sql.

Also see:
» PREDICTION_SET
» PREDICTION_PROBABILITY
» PREDICTION_COST
» PREDICTION_BOUNDS
» PREDICTION
» FEATURE_SET
» FEATURE_ID
» CLUSTER_SET
» CLUSTER_PROBABILITY
» CLUSTER_ID

Comment: (none)

Language: PL/SQL
Highlight Mode: PLSQL
Last Modified: March 07th, 2009

PREDICTION_DETAILS(<schema.model> <mining_attribute_clause>)
 
SELECT cust_id, education,
   PREDICTION_DETAILS(DT_SH_Clas_sample using *) treenode
   FROM mining_data_apply_v
   WHERE occupation = 'TechSup' AND age < 25
   ORDER BY cust_id;
 
   CUST_ID EDUCATION             TREENODE
---------- --------------------- -------------------------
    100234 < Bach.               <Node id="21"/>
    100320 < Bach.               <Node id="21"/>
    100349 < Bach.               <Node id="21"/>
    100419 < Bach.               <Node id="21"/>
    100583 < Bach.               <Node id="13"/>
    100657 HS-grad               <Node id="21"/>
    101171 < Bach.               <Node id="21"/>
    101225 < Bach.               <Node id="21"/>
    101338 < Bach.               <Node id="21"/>
 
9 rows selected.
 


 
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