yh_C50: C50 Prediction
In gencve: General Cross Validation Engine
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Given training data and test examples, the C50 predictions for the test data are produced and
the misclassification rate is returned.
Usage
1
yh_C50(dfTr, dfTe)
Arguments
dfTr
dataframe with last column for the output. The output must be a factor.
dfTe
dataframe for test data. Must have columns corresponding to the training columns except
the test output is not needed.
Value
tba. Not fully implemented yet.
Author(s)
A. I. McLeod
See Also
yh_CART,
yh_RF,
yh_svm,
yh_NB,
yh_kNN,
yh_lda,
yh_logistic,
yh_qda
Examples
1
yh_C50(SinghTrain, SinghTest)#0.235
gencve documentation built on May 2, 2019, 6:08 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Given training data and test examples, the C50 predictions for the test data are produced and the misclassification rate is returned.
Usage
1 | yh_C50(dfTr, dfTe)
|
Arguments
dfTr |
dataframe with last column for the output. The output must be a factor. |
dfTe |
dataframe for test data. Must have columns corresponding to the training columns except the test output is not needed. |
Value
tba. Not fully implemented yet.
Author(s)
A. I. McLeod
See Also
yh_CART,
yh_RF,
yh_svm,
yh_NB,
yh_kNN,
yh_lda,
yh_logistic,
yh_qda
Examples
1 | yh_C50(SinghTrain, SinghTest)#0.235
|
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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