Essays about: "SMOTE"

Showing result 6 - 10 of 33 essays containing the word SMOTE.

  1. 6. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ehsan Nazeriha; [2023]
    Keywords : GAN; Deep Learning; Variational Autoencoder; Anomaly Detection; SMOTE; GAN; Djupinlärning; Variational Autoencoder; Anomali detektering; SMOTE;

    Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE

  3. 7. The use of Machine Learning to predict adverse birth outcomes: Empirical real world evidence from a human cohort study in Adama, Ethiopia

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Stephanie Bol; [2023]
    Keywords : Machine Learning; Adverse birth outcomes; Stillbirth; Neonatal death; Adama; Ethiopia; Oversampling; Undersampling; Random Forest; Technology and Engineering;

    Abstract : Since Ethiopia has a high number of recorded adverse birth outcomes, the city of Adama was subjected to a study (Flanagan et al., 2022) that gathered data from 2085 pregnancies. This thesis utilizes that data to investigate the usage of machine learning in environmental epidemiology. READ MORE

  4. 8. Imbalanced Predictions

    University essay from Lunds universitet/Statistiska institutionen

    Author : Stella Säfström; [2022]
    Keywords : Imbalanced data; cost-sensitive learning; SMOTE; random undersampling; Mathematics and Statistics;

    Abstract : The aim of the thesis is to evaluate solutions to the class imbalance problem using real world data sets with varying degrees of class imbalance. The analysis is limited to binary classification. Three large data sets relating to credit card fraud, vehicle insurance and heart disease are used for the analysis. READ MORE

  5. 9. Classification of Error Messages in Semi-Structured Log Files Using Machine Learning Algorithms

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Salman Khan; [2022]
    Keywords : ;

    Abstract : In Ericsson, newly developed applications are tested in an in-house testing framework. When an error occurs in the testing phase, manual inspection of errors in the log files and manual classification of these errors into production (PROD) or environment (ENV) classes cost a lot of time. READ MORE

  6. 10. Classification of Premium and Non-Premium Products using XGBoost and Logistic Regression

    University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Author : Francisco Erazo; Stephany Rojas Gerena; [2022]
    Keywords : XGBoost; Logistic Regression; Classification Algorithms; Food and Beverage; Cost-Sensitive Analysis; SMOTE; Business and Economics;

    Abstract : In the past few years, many industries have become interested in premium product segmentation to achieve higher unit margins. In this paper, we applied machine learning algorithms to predict whether a product is premium or non-premium. READ MORE