randForest: Random Forest
In lucio617/mlearning:
Description
Usage
Arguments
Note
Examples
Description
Performs Random Forest Classification algorithm for the target variable on the basis of given dataset
Splits the given dataset into training and testing in the ratio of 80:20 respectively
Also generates a confusion matrix toe predict the error of the model
Usage
1
randForest(t, d)
Arguments
t
Target Variable
d
Dataset
Note
Pass the target value with '$' .
Ex- dataset$target(d$t)
Examples
1
randomForest(t,d)
lucio617/mlearning documentation built on Dec. 21, 2021, 12:40 p.m.
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Description Usage Arguments Note Examples
Description
Performs Random Forest Classification algorithm for the target variable on the basis of given dataset Splits the given dataset into training and testing in the ratio of 80:20 respectively Also generates a confusion matrix toe predict the error of the model
Usage
1 | randForest(t, d)
|
Arguments
t |
Target Variable |
d |
Dataset |
Note
Pass the target value with '$' . Ex- dataset$target(d$t)
Examples
1 | randomForest(t,d)
|
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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