NN.boot.err.Func: Application of Neural Network method
In jjsayleraxio/JTIMLmaster: An application of ML methods

Description Usage Arguments Details Value

View source: R/NN_boot_err_Func.R

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

1 2	NN.boot.err.Func(train, test, depVar, hidden = 3, linear.output = FALSE)

`train`	??
`test`	??
`depVar`	??
`hidden`	A numeric value of # of hidden layers
`linear.output`	??

A Neural Network 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 NN.err a matrix of the estimated accurasy measures of Sensitivity, Specificity, and Misclassification for Training set, Testing set and overall one.

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