Ensemble predictions for out-of-bag observations
Syntax
Y = oobPredict(B)
Y = oobPredict(B,'param1',val1,'param2',val2,...)
Description
Y = oobPredict(B) computes predicted responses
using the trained bagger B for out-of-bag observations
in the training data. The output has one prediction for each observation
in the training data. The returned Y is a cell array of strings for
classification and a numeric array for regression.
Y = oobPredict(B,'param1',val1,'param2',val2,...) specifies
optional parameter name/value pairs:
| 'trees' | Array of tree indices to use for computation of responses.
Default is 'all'. |
| 'treeweights' | Array of NTrees weights for weighting votes
from the specified trees. |
See Also
CompactTreeBagger.predict, OOBIndices
 | OOBPermutedVarDeltaMeanMargin property (TreeBagger) | | ordinal class |  |
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