I recently started using MEKA GUI and I have a data set similar to your example music.arff. However the 10 fold cross validation of my data set does not terminate or takes longer than 3 hours. Although a default train/split takes roughly half a minute.
My data set has
3600 instances
about 1500 numeric attributes
Goal: classify the first three attributes (labels)
Configuration
Binary Relevance
J48 -C 0.25 -M 2
Cross Validation 10 Fold
My questions are:
Is this an expected computing time?
If yes, is it because I have that many attributes?
What can I do to increase performance?
[SOLVED]
Used the same configurations again later and it worked. Maybe reopening the MEKA GUI after changing data sets solved this issue.
Hello,
I recently started using MEKA GUI and I have a data set similar to your example music.arff. However the 10 fold cross validation of my data set does not terminate or takes longer than 3 hours. Although a default train/split takes roughly half a minute.
My data set has
Configuration
My questions are:
[SOLVED]
Used the same configurations again later and it worked. Maybe reopening the MEKA GUI after changing data sets solved this issue.