Sökning: "random undersampling"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden random undersampling.

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

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

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

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

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

    Sammanfattning : 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. LÄS MER

  4. 3. Imbalanced Predictions

    Magister-uppsats, Lunds universitet/Statistiska institutionen

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

    Sammanfattning : 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. LÄS MER

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

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

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

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER