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DETECTION DES FRAUDES avec XGBoost
We have a dataset containing bank transactions, and we aim to compare different algorithms for predicting fraud. After testing various models, we found that XGBoost is one of the best approximations for this task. XGBoost is a boosting model based on decision trees.


How to reduce the input dimensions to capture the main sources of variance, helping us better understand the relationships between the explanatory variables.