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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Benchmark Data-sets for Concept Drift where important predictors (independent variables) cha... [closed]
I'm currently searching the web and literature for streaming classification datasets with concept drift. … My question is.. what other REAL streaming datasets out there express concept drift in classification problems. …
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Benchmark Data-sets for Concept Drift where important predictors (independent variables) cha...
I ended up using the simulated hyperplane dataset but used the dimension weights over time as a measure of true feature importance
Code to generate hyperplane data and dimension weights
My Paper
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Machine learning for multi-level response
When you are dealing with many class problems like this, some of the classes will likely be not well represented. If you are really interested in getting these "not-well-represented" classes right, a …