Sökning: "binary classification."

Visar resultat 16 - 20 av 231 uppsatser innehållade orden binary classification..

  1. 16. Maskininlärning & Random Forest: Överträffar traditionella kreditmodeller

    Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Simon Johansson; [2023]
    Nyckelord :Altman Z-Score; Random Forest; Machine Learning; Bankruptcy prediction; Business and Economics;

    Sammanfattning : The Altman Z-Score model is one of the most famous models för predicting bankruptcy and measuring financial distress for companies. It uses multivariate discriminant analysis to classify companies in three different groups based on their calculated Z-Score. LÄS MER

  3. 17. Impact of Cell Type Selection on Binary Classification of Cervical Cancer using Convolutional Neural Networks : A Compatibility Analysis of Herlev and SIPaKMeD

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

    Författare :Elias Ram; Elias Stihl; [2023]
    Nyckelord :;

    Sammanfattning : Cervical cancer is one of the most common forms of cancer today, affecting women worldwide. Machine learning classifiers could potentially be utilized to aid in the diagnosis of cervical cancer, making screening more cost-effective. LÄS MER

  4. 18. Machine Learning based Predictive Data Analytics for Embedded Test Systems

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Fayad Al Hanash; [2023]
    Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

    Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER

  5. 19. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

    Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Levi Jan Zuiverloon; [2023]
    Nyckelord :Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

    Sammanfattning : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. LÄS MER

  7. 20. A Rank Score Model of Variants Prioritization for Rare Disease

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Nanxing Liu; [2023]
    Nyckelord :machine learning; variants; rare disease;

    Sammanfattning : The diagnosis of genetic illnesses has undergone a revolution with advancements in sequencing technology. Next-generation sequencing (NGS) has become a standard practice in genetic diagnostics, enabling the identification of various genetic variations. LÄS MER