bbstats

Correlation does not equal causation.

Nonsense.

The final output of a random forest regression for example is just the average of all the final prediction nodes of the individual trees, which thanks to bootstrapping are decorrelated. So - adding more trees does not tend to alter predictions very much.

The fact that SVM was the #2 algo in these results, and that linear methods beat out all the other methods means there's something going awry.