What is Class Imbalance and how to fix class imbalance in Datasets

Demystifying Class Imbalance in Datasets — with R

Photo by Gustavo Torres on Unsplash

Class Imbalance is when the prediction/Target classes are largely skewed, or few of the classes have distinctly lower sample size than the dominant prediction classes.

Data Understanding

Here we are using Kaggle data to explain class imbalance and explain how to handle it. Here is the link to data , we are using Credit card fraud detection.

Let’s have a look to our data.

data <- read_csv("../input/creditcard.csv") head(data)

Let’s have a look to our target column

prop.table(table(data$Class))