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Performed feature engineering, cross-validation (5 fold) on baseline and cost-sensitive (accounting for class imbalance) Decision trees and Logistic Regression models and compared performance. Used appropriate performance metrics i.e., AUC ROC, Average Precision and Balanced Accuracy. Outperformed baseline model.

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Name		Name	Last commit message	Last commit date
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.DS_Store		.DS_Store
README.md		README.md
countries.csv		countries.csv
currency_details.csv		currency_details.csv
image.png		image.png
revolut_fraudsters_detection.ipynb		revolut_fraudsters_detection.ipynb
transactions.csv		transactions.csv
users.csv		users.csv

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revolut-fraudsters-detection

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Performed feature engineering, cross-validation (5 fold) on baseline and cost-sensitive (accounting for class imbalance) Decision trees and Logistic Regression models and compared performance. Used appropriate performance metrics i.e., AUC ROC, Average Precision and Balanced Accuracy. Outperformed baseline model.

cross-validation performance-metrics logistic-regression decision-trees feature-engineering average-precision auc-roc-score balanced-accuracy-scores class-imbalance-problem

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