M_Breiman: Breiman Importance
In MiriamEsteve/EAT: Efficiency Analysis Trees
Description
Usage
Arguments
Value
Description
This function evaluates the importance of each predictor by the notion of surrogate splits.
Usage
1
M_Breiman(object, digits)
Arguments
object
An EAT object.
digits
Decimal units.
Value
Dataframe with one column and the importance of each variable in rows.
MiriamEsteve/EAT documentation built on Jan. 18, 2022, 6:55 p.m.
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Description Usage Arguments Value
Description
This function evaluates the importance of each predictor by the notion of surrogate splits.
Usage
1 | M_Breiman(object, digits)
|
Arguments
object |
An EAT object. |
digits |
Decimal units. |
Value
Dataframe with one column and the importance of each variable in rows.
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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