CODEWITHSUNDEEP
rstatistical-sampling
Hattori
Hattori

Reputation: 11

How to solve error "Too few observations." when using ROSE to balancing data in R?

I try to use ROSE library on R to rebalancing target variable in my dataset. Here is my information of my dataset.

I would like to undersampling the dataset to make the percentage of minor class increase to 5%.

Here is my code :

df_Under <- ovun.sample(Target ~ ., data = df, method = "under", N =5580, seed = 1)

However, after run the code above, I got the following error message.

"Error in (function (formula, data, method, subset, na.action, N, p = 0.5,  :Too few observations."

I tried play with other method of ROSE such as "over" and "both" but there are the same error occurs.

How can I fixed this problem ?

Kind regards,

Upvotes: 1

Views: 3669

Answers (3)

Hardat Nanda
Hardat Nanda

Reputation: 21

I was facing the same problem. The problem was actually in the dataset which had columns (variables) with NA/Nan.

Please try running the code after NA removal.

Let me know if this helps.

Upvotes: 2

maira khan
maira khan

Reputation: 43

data.balanced.under <- ovun.sample(Target ~ ., data = df, method = "under",p= 0.5)$data

this will solve your problem

Upvotes: 0

MHammer
MHammer

Reputation: 1314

I believe you want your code to use p = 0.05 (5%) not p = 0.5 (50%) like you have (which is the function's default) and to over sample to bring up the sample size of the minority class like you mentioned in your post:

df_Under <- ovun.sample(Target ~ ., data = df, method = "over", N =5580, seed = 1, p = 0.05)

Upvotes: 0

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