Dear All ,
I’m new in KNIME , I need your help , Please look at the below screen-shot work-flow:
In order to improve the performance of Decision tree model , I select in the feature selection method : Backward feature elimination
I got through the work flow , Until I reach the finals step of the score I got the following score:
I used the Filter selection loop to know the best features use to optimize the accuracy of the model (decision tree) to the best mark until I get the following result:
Of course I go to select the features based on the recommendation (best score) of the feature selection loop but finally I got another bad performance results again as the following:
I share with you the content of the workflow and the DB here :
https://drive.google.com/drive/folders/1mkPLgEmeprgVC7EOM1jiHKCsfYqcnZC7?usp=sharing
Can any one tell me how to reach the best performance level (82 %) as it shown above ?
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