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[Solved] What is the final model of Meta-Cost
Learner III
Hi,
I did build a classifier using MetaCost -> Tree2Rules -> Decision Tree to push the accuracy to 99% for one class and leave the other at 50% . I want to implement the if-statements in my source code so I took the last submodel of MetaCost in the result view.
It seems that none of the presented submodels of MetaCost represent the final model. When I check the performance of a submodel it never leads to the values which I obtain when using the MetaCost model directly. It also does not seem to be an average of all subModels.
Any way to get the if-statements from the final model?
-----> Solved ... I downloaded the source code and found it... I need to consider all models and the confidences of the rules ...
I did build a classifier using MetaCost -> Tree2Rules -> Decision Tree to push the accuracy to 99% for one class and leave the other at 50% . I want to implement the if-statements in my source code so I took the last submodel of MetaCost in the result view.
It seems that none of the presented submodels of MetaCost represent the final model. When I check the performance of a submodel it never leads to the values which I obtain when using the MetaCost model directly. It also does not seem to be an average of all subModels.
Any way to get the if-statements from the final model?
-----> Solved ... I downloaded the source code and found it... I need to consider all models and the confidences of the rules ...
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