Bagging: Bagging
In msats5/capstoneProject:
Description
Usage
Format
Examples
Description
An implmentation of the bagging ensemble method.
Usage
1
Format
An object of class R6ClassGenerator of length 24.
Examples
1
2
3
4
clf <- Bagging$new(10)
clf$train(100, monks1_train[, -c(1,8)], monks1_train[,1])
preds <- clf$predict(monks1_test[, -c(1,8)])
accuracy <- sum(preds == monks1_test[,1])/nrow(monks1_test)
msats5/capstoneProject documentation built on May 18, 2019, 12:27 p.m.
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Description Usage Format Examples
Description
An implmentation of the bagging ensemble method.
Usage
1 |
Format
An object of class R6ClassGenerator of length 24.
Examples
1 2 3 4 | clf <- Bagging$new(10)
clf$train(100, monks1_train[, -c(1,8)], monks1_train[,1])
preds <- clf$predict(monks1_test[, -c(1,8)])
accuracy <- sum(preds == monks1_test[,1])/nrow(monks1_test)
|
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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