I have a data set with around 130000 records. The records divided in two class of target variable,0 & 1. 1 contains only 0.09% of total proportion.
I'm running my analysis in R-3.5.1 on Windows 10. I used SMOTE algorithm to work with this imbalanced data set.
I used following code to handle imbalanced data set
library(DMwR) data_code$target=as.factor(data_code$target) #Converted to factor as # SMOTE works with factor data type smoted_data <- SMOTE(target~., data_code, perc.over=100)
But after executing the code,I'm seeing the count for 0 is 212 & 1 is also 212 which is significant reduction of my sample size.Can you suggest me how do I handle this imbalanced data set with SMOTE without changing my data size