Mean classification margin
Syntax
mar = meanMargin(B,X,Y)
mar = meanMargin(B,X,Y,'param1',val1,'param2',val2,...)
Description
mar = meanMargin(B,X,Y) computes average
classification margins for predictors X given true
response Y. The Y can be either
a numeric vector, character matrix, cell array of strings, categorical
vector or logical vector. meanMargin averages the
margins over all observations (rows) in X for each
tree. mar is a matrix of size 1-by-NTrees,
where NTrees is the number of trees in the ensemble B.
This method is available for classification ensembles only.
mar = meanMargin(B,X,Y,'param1',val1,'param2',val2,...) specifies
optional parameter name/value pairs:
| 'mode' | String indicating how meanMargin computes
errors. If set to 'cumulative' (default), is a
vector of length NTrees where the first element gives mean margin
from trees(1), second column gives mean margins
from trees(1:2) etc, up to trees(1:NTrees).
If set to 'individual', mar is
a vector of length NTrees, where each element is
a mean margin from each tree in the ensemble . If set to 'ensemble', mar is
a scalar showing the cumulative mean margin for the entire ensemble.
|
| 'trees' | Vector of indices indicating what trees to include in this
calculation. By default, this argument is set to 'all' and
the method uses all trees. If 'trees' is a numeric
vector, the method returns a vector of length NTrees for 'cumulative' and 'individual' modes,
where NTrees is the number of elements in the input
vector, and a scalar for 'ensemble' mode. For example,
in the 'cumulative' mode, the first element gives
mean margin from trees(1), the second element gives
mean margin from trees(1:2) etc. |
| 'treeweights' | Vector of tree weights. This vector must have the same length
as the 'trees' vector. meanMargin uses
these weights to combine output from the specified trees by taking
a weighted average instead of the simple nonweighted majority vote.
You cannot use this argument in the 'individual' mode. |
See Also
TreeBagger.meanMargin
 | mean (ProbDistUnivParam) | | meanMargin (TreeBagger) |  |
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