Topic: "predictors-performance"
Brunopaes/mooncake
This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.
Language: Jupyter Notebook - Size: 122 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 3
tech-espm/pgt-mooncake Fork of Brunopaes/mooncake
This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.
Language: Jupyter Notebook - Size: 65.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
