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machine-learningclassificationwekanaivebayes

Weka, which classifier to use, for two categorical and 10 numerical attributes

I would like to ask, I have 10 columns with sound parameters and after 2 columns with which two instrument was recorded in this moment.

After I have data with 10 columns of sound parameters and I need to predict which single instrument was used.

I know about data pre processing and so on, but I would like to double check if I'm choosing the right classified. For the example I provided, would be appropriate to use, Naïve Bayes or Linear Regression or SVN?? I just confused which will be more appropriate for this particular example.

Solution

  • It's hard to predict which one will work best on your data.

    Every data set is different. Sometimes A is better, sometimes B.

    Therefore, try all of them, and use cross-validation to check which worked best.