Comments (2)
GoogleCodeExporter
commented on August 14, 2024
the forest retains all the trees. technically there is no best tree as all the
trees are from the same distribution and thus will perform equally good.
the issue might lie with your OS. if its 32bit then it doesnot allow more than
2 GB of space per process and in this case matlab
i do know that the forest matrices are huge and grow proportionally to the
number of examples you have. But on my 64 bit machine with 12gb ram i can grow
500 trees for data exceeding 200K examples with > 500 features
Original comment by abhirana on 7 Mar 2011 at 5:53
from randomforest-matlab.
GoogleCodeExporter
commented on August 14, 2024
Original comment by abhirana on 31 Mar 2012 at 8:39
- Changed state: Done
from randomforest-matlab.
Related Issues (20)
- weak learner HOT 1
- Compiling on Mac Lion HOT 6
- Compiled mexmaci64 for OSX 10.8.2 (Mountain Lion) HOT 2
- about the unbalanced data HOT 32
- Segmentation violation problem HOT 2
- Hierarchical sampling of data? HOT 3
- memory leak in HOT 1
- probability of classes for highly skewed dataset HOT 2
- Feature Normalization HOT 1
- sampsize problem
- score values from random forest HOT 1
- MATLAB crashes after tens of thousands runs !! HOT 3
- Compilation Problems with Matlab 2014a on Mac HOT 7
- How to get individual tree predictions for regression HOT 2
- use library (gcc) in matlab and error with compile of mex HOT 1
- NaN data HOT 4
- multivariate label output in regression analysis
- Matlab (randomly) crash after a number of runs HOT 5
- Directions for Bagging Regression HOT 2
- Quantifying Fractal Dimension HOT 1
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