Classification Learner and Regression Learner: Please help!
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Hello Everyone,
I am trying to use the classification learner app. I have 2 sets of data, one considered "good" and one "bad". I am trying to create a model (either an SVM or regression). But I do not know how and I keep getting poor accuracy. The data is signals. Each set of signal data is around 500 signals. Each one of these signals is represented by a row of 2000 numbers. How can I train a model to tell the difference between good and bad signals and use it to filter through other signal data?
9 commentaires
Walter Roberson
le 21 Mar 2019
Calculate the correlation between the mean of the good signals and each individual signal, and use that correlation as the input.
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