tree.control {tree} | R Documentation |
The produces default values of mincut
and minsize
, and
ensures that mincut
is at least half minsize
.
tree.control(nobs, mincut = 5, minsize = 10, mindev = 0.01)
nobs |
The number of observations in the training set. |
mincut |
The minimum number of observations to include in either child node. This is a weighted quantity; the observational weights are used to compute the `number'. The default is 5. |
minsize |
The smallest allowed node size: a weighted quantity. The default is 10. |
mindev |
The within-node deviance must be at least this times that of the root node for the node to be split. |
To produce a tree that perfectly fits the data, set mindev = -1
and minsize = 2
.
mincut |
The maximum of the input or default mincut and 1 |
minsize |
The maximum of the input or default minsize and 2. |
nmax |
A estimate of the maximum number of nodes that might be grown. |
nobs |
The input nobs . |
The intepretation of mindev
given here is that of Chambers and
Hastie (1992, p. 415), and apparently not what is actually implemented
in S. It seems S uses an absolute bound.
B. D. Ripley