RMSE: Root Mean Square Error
In OptimClassifier: Create the Best Train for Classification Models

RMSE is a commonly used error metric to measure the performance of regression models, but it is also possible to use it in a classification system. The RMSE measures the standard deviation of the predictions from the ground-truth. This is the relationship between RMSE and classification.

1	RMSE(yhat, y, type.of = c("numeric", "text", "scalable"))

`yhat`	A predicted value vector
`y`	A real value vector
`type.of`	Type of response variable, either: `numeric` for the numerical response variables, `text` for the class response variables without growing relationship or `scalable` for the class response variables without growing relationship.