代码搜索结果

### Name: getTree ### Title: Extract a single tree from a forest. ### Aliases: getTree ### Keywords: tree ### ** Examples data(iris) ## Look at the third trees in the forest. getTree(random

### Name: rfImpute ### Title: Missing Value Imputations by randomForest ### Aliases: rfImpute rfImpute.formula rfImpute.default ### Keywords: regression classif tree ### ** Examples data(iris

### Name: varImpPlot ### Title: Variable Importance Plot ### Aliases: varImpPlot ### Keywords: regression classif tree ### ** Examples set.seed(4543) data(mtcars) mtcars.rf

### Name: treesize ### Title: Size of trees in an ensemble ### Aliases: treesize ### Keywords: regression classif ### ** Examples data(iris) iris.rf

### Name: importance ### Title: Extract variable importance measure ### Aliases: importance importance.default importance.randomForest ### Keywords: regression classif tree ### ** Examples se

### Name: partialPlot ### Title: Partial dependence plot ### Aliases: partialPlot partialPlot.default partialPlot.randomForest ### Keywords: classif regression tree ### ** Examples data(airqu

### Name: grow ### Title: Add trees to an ensemble ### Aliases: grow grow.default grow.randomForest ### Keywords: regression classif ### ** Examples data(iris) iris.rf

### Name: MDSplot ### Title: Multi-dimensional Scaling Plot of Proximity matrix from ### randomForest ### Aliases: MDSplot ### Keywords: classif tree ### ** Examples set.seed(1) data(iris

### Name: <mark>r</mark>andomFo<mark>r</mark>est ### Title: Classification and <mark>R</mark>eg<mark>r</mark>ession with <mark>R</mark>andom Fo<mark>r</mark>est ### Aliases: <mark>r</mark>andomFo<mark>r</mark>est <mark>r</mark>andomFo<mark>r</mark>est.fo<mark>r</mark>mula <mark>r</mark>andomFo<mark>r</mark>est.default ### p<mark>r</mark>int.<mark>r</mark>andomFo<mark>r</mark>est ### Keywo<mark>r ...

### Name: tuneRF ### Title: Tune randomForest for the optimal mtry parameter ### Aliases: tuneRF ### Keywords: classif tree ### ** Examples data(fgl, package="MASS") fgl.res