I am developing a small project where I have hundreds of runs of time-series data as represented in the figure http://i.imgur.com/8ABDo9b.png (the figure represents the mean of those runs, for two conditions described by four features. Single run data is noisy).
What are the best methods to classify some test runs of this type of data (time-series, 4 features, 2 categories) ?
I can use some runs to train the methods and the remaining runs to test different methods.
Thanks in advance.
Best regards, pica_foices
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