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KNN with parameter tuning and LOG process....Not getting confusion matrix for all k
vbsingh
I am using KNN for multiclass problem . I am applying optimized grid search for parameter tuning and using log process for getting every cucle results. But I am getting only accuracy results and different values of K. How can i get the confussion matrix for all possible values of K in KNN..Please suggest and guide...
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Telcontar120
This isn't possible with the log operator and optimize operator alone, I think you are going to need to use a loop and store the confusion matrix from each model run separately.
varunm1
Hello
@vbsingh
If you are just optimizing on K-Value, please look at the below process, where there are a couple of macros and store operators to store performance in the repository folder. This way, you can store the performance of each k value. You can import the process attached to your RM and change the store operator repository entry, but be sure to add the macro name in the current process of the store operator in the name.
Optimize_Parameters_Store.rmp
varunm1
@vbsingh
by the way, uncheck the "enable parallel execution" in optimize parameter operator.
All comments
vbsingh
How to get confusion matrix for all k values through grid search...
Telcontar120
This isn't possible with the log operator and optimize operator alone, I think you are going to need to use a loop and store the confusion matrix from each model run separately.
vbsingh
But I need parameter optimization too...
varunm1
Hello
@vbsingh
If you are just optimizing on K-Value, please look at the below process, where there are a couple of macros and store operators to store performance in the repository folder. This way, you can store the performance of each k value. You can import the process attached to your RM and change the store operator repository entry, but be sure to add the macro name in the current process of the store operator in the name.
Optimize_Parameters_Store.rmp
vbsingh
Great I am trying it......
varunm1
@vbsingh
by the way, uncheck the "enable parallel execution" in optimize parameter operator.
vbsingh
plz send the .properties file also
varunm1
Here is the zip folder with all the related files, you just need to unzip in your local repository of rapidminer folder and run it.
vbsingh.zip
vbsingh
Hi
varunm1
,
Thanks for sharing your operator.. It was great help. But i have one problem with J48 since there is two parameter ...so there is overlapping in result.. how to change the name of the result..and get entire result.
vbsingh
What should be the range for J48 machine learning technique while using optimize operator
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