Essays about: "random undersampling"

Showing result 1 - 5 of 14 essays containing the words random undersampling.

  1. 1. Test Case Selection from Test Specifications using Natural Language Processing

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Alok Gupta; [2023]
    Keywords : Cloud RAN; Telecommunication; Test Automation; Artificial Intelligence; Machine Learning; Natural Language Processing; Keyword Extraction; Prediction;

    Abstract : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. READ MORE

  3. 2. 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. 3. 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. 4. Predicting purchase intentions of customers by using web data : To identify potential customer groups during sales processes in the real estate sector

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Olle Kåhre Zäll; [2022]
    Keywords : Web Usage Mining; Classification; Purchase Intentions; Time On the Market;

    Abstract : This master thesis aims to investigate the possibilities of predicting purchase intentions of customers during their sales processes in the real estate sector. Also, the web activity of customers on a real estate company’s web site is used as the basis for the forecasting. READ MORE

  6. 5. Predicting Customer Satisfaction in the Context of Last-Mile Delivery using Supervised and Automatic Machine Learning

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

    Author : Carl Höggren; [2022]
    Keywords : Last-mile Delivery; Customer Satisfaction; Supervised Machine Learning; Automatic Machine Learning; Imbalanced Datasets; Sista-milen Leveranser; Kundnöjdhet; Övervakad Maskininlärning; Automatiserad Maskininlärning; Obalanserade Dataset;

    Abstract : The prevalence of online shopping has steadily risen in the last few years. In response to these changes, last-mile delivery services have emerged that enable goods to reach customers within a shorter timeframe compared to traditional logistics providers. READ MORE