What I did:
Collected over 60 UCI data set.
Currently, 105 UCI data set is available. However, about 70 data sets are applicable to classcification.
Very fortunately, I think, that I've found some interesting patterns for 3 or 4 meta features.
The problem I got:
For some data set, MLP ate too much time. Even I used three computers, I haven't got MLP results yet for 6-7 data sets.
What I will do next time.
There are many things to be done.
1. Cluster data set based on the vector of accuracies.
2. Examine meta features per cluster
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