Which algorithm can I use in Weka to find best parameters that will maximize the output?

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Which algorithm can I use in Weka to find best parameters that will maximize the output?

Ayşe Arslan
Hello,

I am working on parallel I/O operations, trying to improve I/O performance which is measured with obtained bandwidth. In my project, there are different configuration parameters, my aim is to find configuration set that will give best "bandwidth" value.

My 4 configuration parameters can take different values as follows:
parameter1 : automatic, enable, disable
parameter2 : automatic, enable, disable
parameter3 : 1, 2, 4, 6, 8, 10, 12, 16
parameter4 : 1048576, 2097152, 4194304, 8388608, 16777216, 33554432

I have 54 different data size.

So I want to measure bandwidth for all these combinations for all data sizes. This is computationally expensive function, but I do. Then for each file type (depending on data size) I extract configuration set that gives best bandwidth.

Finally I get such a log after execution for each combination, a long log file includes all configuration possibilities and obtained bandwidth with that configuration.

{"file_type":38","operation_type":"collective","bytes":120000000,"duration":0.240724,"bandwidth":475.402854,"conf_set":[{"parameter1":"automatic"},{"parameter2":"automatic"},{"parameter3":"1"},{"parameter4":"2097152"}]

In Weka, how can I work on the data? I have no class attribute. I am trying to  find parameter set that give best bandwith value. Any ideas?

Thank you,
Ayse

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