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How well do the ML functions work?

Topics related to the set of Machine Learning libraries and Matrix processing algorithms

Fri Jan 24, 2014 9:26 pm Change Time Zone

I'm trying to determine how well the following ML functions work on large matrices.

Random Forests,
Decision Trees,
Linear Regression,
Logistic Regression,
Arima, Naïve Bayes,
K-Mean, KD Trees,
Agglomerative/Hierarchical,
SVD,
PCA

If you have used any of the above ML functions with large matrices, would you respond by answering the following questions.

1. How large were the matrices?
2. Did the ML function(s) work as expected?
3. If they didn't work as you expected, e.g. they were too slow or you got errors, how did they malfunction?

Thank you
tlhumphrey2
 
Posts: 260
Joined: Mon May 07, 2012 6:23 pm

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