fn_error {scorecardModelUtils} | R Documentation |
The function takes the input dataframe with observed and predicted columns and computes mean absolute error, mean squared error and root mean squared error terms.
fn_error(base, observed_col, predicted_col)
base |
input dataframe |
observed_col |
column / field name of the observed event |
predicted_col |
column / field name of the predicted event |
An object of class "fn_error" is a list containing the following components:
mean_abs_error |
mean absolute error between observed and predicted value |
mean_sq_error |
mean squared error between observed and predicted value |
root_mean_sq_error |
root mean squared error between observed and predicted value |
Arya Poddar <aryapoddar290990@gmail.com>
data <- iris
data$Species <- as.character(data$Species)
suppressWarnings(RNGversion('3.5.0'))
set.seed(11)
data$Y <- sample(0:1,size=nrow(data),replace=TRUE)
data$Y_pred <- sample(0:1,size=nrow(data),replace=TRUE)
fn_error_list <- fn_error(base = data,observed_col = "Y",predicted_col = "Y_pred")
fn_error_list$mean_abs_error
fn_error_list$mean_sq_error
fn_error_list$root_mean_sq_error