## How well do the ML functions work?

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

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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