I am working on regression machine learning techniques and calculating AUC (plotting REC) by using below paper link: http://homepages.rpi.edu/~bennek/papers/rec.pdf
My Code;
REC <- function(y_val , y_predval){
initilizing the lists
Accuracy <- "[]"
initializing the values for Epsilon
Begin_Range <- 0 End_Range <- 1.5 Interval_Size <- 0.01
List of epsilons
Epsilon <- seq(Begin_Range , End_Range , Interval_Size)
Main Loops
for (i in range(length(Epsilon))){
count <- 0.0
for (j in range(length(y_val))){
if ((y_val[j] - y_predval[j]) / sqrt((y_val[j]) **2 + (y_predval[j])**2 ) < Epsilon[i]){
count <- count + 1
}
append(count/length(y_val))
}
### Calculating Area Under Curve using Simpson's rule
AUC <- sintegral(Accuracy , Epsilon ) / End_Range
### returning epsilon , accuracy , area under curve
return (Epsilon , Accuracy , AUC)
} }
AUC <- REC(y_val, y_predval)
Error in np_array(y_val[j])^2 : non-numeric argument to binary operator
