|Oracle® Database SQL Reference
10g Release 2 (10.2)
|PDF · Mobi · ePub|
This function is for use with decision tree classification models created by the
DBMS_DATA_MINING package or with the Oracle Data Mining Java API. It is not valid with other types of models. It returns a measure of cost for a given prediction as an Oracle
If you specify the optional
class parameter, then the function returns the cost for the specified class. If you omit the
class parameter, then the function returns the cost associated with the best prediction. You can use this form in conjunction with the
PREDICTION function to obtain the best pair of prediction value and cost.
MODEL indicates that the scoring should be performed by taking into account the cost matrix that was associated with the model at build time. If no such cost matrix exists, then the database returns an error.
mining_attribute_clause behaves as described for the
PREDICTION function. Please refer to mining_attribute_clause.
The following example finds the ten customers living in Italy who are least expensive to convince to use an affinity card.
This example and the prerequisite data mining operations can be found in the demo file
$ORACLE_HOME/rdbms/demo/dmdtdemo.sql. General information on data mining demo files is available in Oracle Data Mining Administrator's Guide. The example is presented here to illustrate the syntactic use of the function.
WITH cust_italy AS ( SELECT cust_id FROM mining_data_apply_v WHERE country_name = 'Italy' ORDER BY PREDICTION_COST(DT_SH_Clas_sample, 1 COST MODEL USING *) ASC, 1 ) SELECT cust_id FROM cust_italy WHERE rownum < 11; CUST_ID ---------- 100081 100179 100185 100324 100344 100554 100662 100733 101250 101306 10 rows selected.