Con_DT: Construct Decision Tree model with pruning
In Dforest: Decision Forest
Description
Usage
Arguments
Value
See Also
Description
Construct Decision Tree model with pruning
Usage
1
Con_DT(X, Y, min_split = 10, cp = 0.01)
Arguments
X
dataset
Y
data_Labels
min_split
minimum number of node in each leaf
cp
pre-defined Complexity Parameter (CP) rpart program
Value
Decision Tree Model with pruning
Implemented by rpart
See Also
Dforest documentation built on May 2, 2019, 6:38 a.m.
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Description Usage Arguments Value See Also
Description
Construct Decision Tree model with pruning
Usage
1 | Con_DT(X, Y, min_split = 10, cp = 0.01)
|
Arguments
X |
dataset |
Y |
data_Labels |
min_split |
minimum number of node in each leaf |
cp |
pre-defined Complexity Parameter (CP) rpart program |
Value
Decision Tree Model with pruning Implemented by rpart
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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