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Update README.md
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@ShayanHodai
ShayanHodai authored Jun 1, 2024
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Expand Up @@ -19,6 +19,10 @@ Time feature is scaled by StandardScaler -> range between 0 to 1
And Amount feature is scaled by RobustScaler -> deals better with outliers
![Example Image](images/two_features.png)

# Random undersampling
To overcome the class imbalance in the dataset and create a balanced dataset, I reduce the number of instances in the majority class. This ensures that the machine learning model can learn to recognize patterns in both classes more effectively.
After undersampling, the shape of the balanced dataset would be (984, 31)

correlation of fraud/normal transactions with non-redundant features
![Example Image](images/corr2.png)

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