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I took a look at how you encode categorical variables in the transactions dataset, such as 'MCC', 'Marchant Name', etc. and it seems that for all of them, you use LabelEncoder. This creates a false order and I was wondering if it affects learning and performance? Shouldn't you use a one-hot encoding?
The text was updated successfully, but these errors were encountered:
I took a look at how you encode categorical variables in the transactions dataset, such as 'MCC', 'Marchant Name', etc. and it seems that for all of them, you use LabelEncoder. This creates a false order and I was wondering if it affects learning and performance? Shouldn't you use a one-hot encoding?
The text was updated successfully, but these errors were encountered: