Doh, forgot to mention the drools-change module supports PMML. Helps if I join the dots up :)
On 5 June 2012 20:55, Michael Anstis <michael.ans...@gmail.com> wrote: > There's an experimental module called > https://github.com/droolsjbpm/drools-chance > > There are various sources on the internet about using PMML for Score > Cards: e.g. > http://adapasupport.zementis.com/2010/02/scorecards-in-pmml-primer.html > > Might be worth looking at - I'm sure Davide Sotty would welcome feedback. > > With kind regards, > > Mike > > > On 5 June 2012 18:40, Wolfgang Laun <wolfgang.l...@gmail.com> wrote: > >> Thanks! >> >> This would not be implemented at "the Engine level"; it would be a (more >> or less) complex >> framework similar to what there is now (in Drools) for decision tables. >> But the evaluation for such >> a scorecard is much less predictable than the one for a decision table, >> which can be >> defined in terms of Drools Rule Language conditions, constraints and >> actions. >> >> If there is a more or less straightforward way of defining constraints >> and actions from a scorecard, >> it might not be so much different from the approach used for decision >> tables. But is there a >> commonly agreed-upon way of deriving the those from a scorecard? Is there >> a commonly >> agreed-upon abstract structure for S.C. as there is one for spreadsheets? >> >> -W >> >> >> >> On 5 June 2012 19:28, vinodkiran <vinodki...@usa.net> wrote: >> >>> Score Models / Scorecards >>> >>> The Score Model / Scorecards is a common model used in scoring - a type >>> of >>> statistical approach, per Predictive Analytics - to allow a subjective >>> score >>> to be defined against some criteria for some decisioning purpose (eg >>> credit >>> scoring). >>> >>> A scorecard represents an assessment, opinion, or prediction about the >>> customer or prospect. In other decision metaphors such as decision >>> tables or >>> decision trees, the values for rule conditions and actions are set by the >>> user. In a scorecard, the properties and values for rule conditions and >>> the >>> rule action are generated using the values entered in the scorecard. The >>> attribute scores are summed to return an overall score and the resulting >>> score. This overall score is then available for use by other rulesets, >>> functions, decision tables, and decision trees. >>> >>> >>> http://books.google.co.in/books?id=9AqRlUOaoVIC&pg=PA142&lpg=PA142&dq=%22score+model%22+BRMS&source=bl&ots=aUu8DyFp_t&sig=nbfyKFGaUhw762__pQTUMTE5xis&hl=en&sa=X&ei=wEDOT76XKcGzrAe84ZWqDA&ved=0CE0Q6AEwAQ#v=onepage&q=%22score%20model%22%20BRMS&f=false >>> >>> >>> -- >>> View this message in context: >>> http://drools.46999.n3.nabble.com/scorecard-metaphor-in-drools-tp4017756p4017758.html >>> Sent from the Drools: Developer (committer) mailing list mailing list >>> archive at Nabble.com. >>> _______________________________________________ >>> rules-dev mailing list >>> rules-dev@lists.jboss.org >>> https://lists.jboss.org/mailman/listinfo/rules-dev >>> >> >> >> _______________________________________________ >> rules-dev mailing list >> rules-dev@lists.jboss.org >> https://lists.jboss.org/mailman/listinfo/rules-dev >> >> >
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