I have a data set that is imbalanced and would like to weight the samples to compensate, however I can't find code to implement this in R though I believe there is a feature in the randomForest
package to do this.
Here's a sample dataset :
id buy=1/noBuy=0 timeOnSite(sec.) clicksOnSite estAge
1 0 150 12 44
2 0 342 56 23
3 0 33 11 18
4 1 167 34 27
5 0 95 3 52
6 0 254 98 26
7 0 982 4 36
8 0 72 6 22
9 1 259 62 48
10 0 438 104 24
...
I'm trying to predict the buy/noBuy column but the real data is even more imbalanced than this. Anyone know of an example written in R to deal with a similar situation?