RF.boot.err.Func: Application of Random Forest method
In jjsayleraxio/JTIMLmaster: An application of ML methods

Description Usage Arguments Details Value

View source: R/RF_boot_err_Func.R

Returns the estimated accurasy measures of Sensitivity, Specificity, and Misclassification using Confusion matrix.

1	RF.boot.err.Func(train, test, depVar, ntree = 300)

`train`	A data frame of training data set
`test`	A data frame of a testing data
`depVar`	An outcome variable
`ntree`	A numeric value of # of trees to build

A random forest model is trained using a training data set and estimate accuracy measures using a test data set. The number of tree is defined by a user and the default value of it is 300.

A list of RF.fit RF fitted object, RF.err a matrix of the estimated accurasy measures of Sensitivity, Specificity, Misclassification for Training set, Testing set and overall one, importance_measure as a matrix form of Mean.Decrease.Accuracy and Mean.Decrease.Gini

jjsayleraxio/JTIMLmaster documentation built on Nov. 4, 2019, 2:57 p.m.