About the parameter "local_random_seed" in XValidation Operator
Hi,
RM is a fantastic tool for data mining research and application. Thanks for your good work. Here I have a problem when I use the 04_XValidation_Nominal.xml sample. Theoretically, when the "sampling_type" parameter is set to be "stratified sampling" and "local_random_seed" is set to be -1, the results should be a little different in different iteration of running, since each time the training sample and test sample are different in each fold validation. In my test, the result has no change. I tried several other example source, it still has no change. Could anybody tell me what's the problem. Thanks again.
RM is a fantastic tool for data mining research and application. Thanks for your good work. Here I have a problem when I use the 04_XValidation_Nominal.xml sample. Theoretically, when the "sampling_type" parameter is set to be "stratified sampling" and "local_random_seed" is set to be -1, the results should be a little different in different iteration of running, since each time the training sample and test sample are different in each fold validation. In my test, the result has no change. I tried several other example source, it still has no change. Could anybody tell me what's the problem. Thanks again.
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setting the "local_random_seed" to -1 means: use the global random seed. The global random seed is initialized everytime you start the process. This is necessary because otherwise you were not able to recompute your results. However, running XValidation two times within the SAME process causes different results.
See this setup here (simply copy and paste in the xml-tab) hope this was helpful
Steffen