Sökning: "Decision Tree"

Visar resultat 21 - 25 av 342 uppsatser innehållade orden Decision Tree.

  1. 21. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :August Thomasson; [2023]
    Nyckelord :visibility forecast; fog; machine learning; numerical weather predicition; XGBoost; Random Forest; siktprognos; dimma; maskininlärning; numerisk vädermodell; XGBoost; Random Forest;

    Sammanfattning : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. LÄS MER

  3. 22. Evaluating the user experience of different representations of organizational structures

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ida Bergman; [2023]
    Nyckelord :;

    Sammanfattning : Information overload is a widely recognized problem in the workplace, with an overwhelmingamount of information being presented from several sources constantly. By being able tovisually represent organizational structures in an efficient way, it can significantly aid in makingthe data easier to consume, utilize and incorporate in future decision making. LÄS MER

  4. 23. Effectivisation of keywords extraction process : A supervised binary classification approach of scraped words from company websites

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Josef Andersson; Max Fremling; [2023]
    Nyckelord :Machine learning; keyword classification; unbalanced data; word embedding;

    Sammanfattning : In today’s digital era, establishing an online presence and maintaining a well-structured website is vitalfor companies to remain competitive in their respective markets. A crucial aspect of online success liesin strategically selecting the right words to optimize customer engagement and search engine visibility. LÄS MER

  5. 24. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

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

    Författare :Thomas Eriksson Mueller; Viktor Fornstad; [2023]
    Nyckelord :Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

    Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER

  7. 25. Sentence based risk classifier using NLP and machine learning

    Kandidat-uppsats, Högskolan i Halmstad

    Författare :David Tran; Hugo Starck; [2023]
    Nyckelord :;

    Sammanfattning : This project was inspired by the company Dizparc and has a focus onclassification systems together with certain applications of natural languageprocessing. Classification systems are a very extensively researched areadating back to the latter half of the 1900s with multiple different ways of theproblems presented up until its more modern takes in today’s age. LÄS MER