Sökning: "Random Forest"

Visar resultat 1 - 5 av 473 uppsatser innehållade orden Random Forest.

  1. 1. Bära eller brista? En systematisk litteraturöversikt av aroniabärets effekt på blodtrycket hos friska vuxna

    Kandidat-uppsats, Göteborgs universitet/Institutionen för medicin

    Författare :Maria Larsson; Torsten Sällström; [2021-08-06]
    Nyckelord :Aronia; polyfenoler; antocyaniner; kardiovaskulär sjukdom; blodtryck; SBT; DBT; Chokeberries; polyphenols; anthocyanins; cardiovascular disease; hypertension; SBP; DBP;

    Sammanfattning : Abstract in EnglishTitle: Berries under pressure. A systematic review of randomized controlled trials of the effect of Aronia melanocarpa on blood pressure in generally healthy adults. LÄS MER

  2. 2. Classification of role stereotypes for classes in UML class diagrams using machine learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Jobaer Ahmed; Maoyi Huang; [2021-03-03]
    Nyckelord :role-stereotypes; machine learning algorithm; classification; data analysis; data mining; UML class diagram; software design; software engineering;

    Sammanfattning : Software development process is becoming inherently complex in recent decades.To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach can be understanding the software design for instance, the UML models earlier in the softwaredevelopment process. LÄS MER

  3. 3. Carta ex Machina: Testing object-based machine learning and unsupervised classification in land use change detection mapping in the semi-arid governorate of Sidi Bouzid, Tunisia

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

    Författare :Kristian Emil Havnsgaard Paludan; [2021]
    Nyckelord :Change detection; Land use mapping; LANDSAT MSS; LANDSAT TM; GEOBIA; Random Forest classification; ISODATA cluster classification; Object-based classification; Semi-arid agriculture; Irrigation mapping; Earth and Environmental Sciences;

    Sammanfattning : Sidi Bouzid, Tunisia is an inland governorate in Tunisia that has undergone a rapid agricultural and urban development since the Tunisian independence in 1952 from being a rural and largely nomadic region into a hub of irrigated agriculture. In 2010 Mohamed Bouazizi sparked the Tunisian revolution by lighting himself on fire int he city of Sidi Bouzid, with some blaming the inequality and water scarcity created by this rapid expansion in the irrigation farming as an important cause (Bayat, 2017; Malka, 2018). LÄS MER

  4. 4. Property Valuation by Machine Learning and Hedonic Pricing Models : A Case study on Swedish Residential Property

    Master-uppsats, KTH/Fastigheter och byggande

    Författare :Kanha Teang; Yiran Lu; [2021]
    Nyckelord :Real estate valuation; Machine learning; Hedonic Pricing Models; Random Forest; Stockholm; Fastighetsvärderingar; Maskininlärning; hedoniska prissättningsmodeller; Random Forest; Stockholm;

    Sammanfattning : Property valuation is a critical concept for a variety of applications in the real estate market such as transactions, taxes, investments, and mortgages. However, there is little consistency in which method is the best for estimating the property value. LÄS MER

  5. 5. Comparison of Logistic Regression and an Explained Random Forest in the Domain of Creditworthiness Assessment

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

    Författare :Marcus Ankaräng; Jakob Kristiansson; [2021]
    Nyckelord :Classification; Creditworthiness; Explainable Artificial Intelligence; Logistic Regression; Machine Learning; Random Forest; SHAP; XAI;

    Sammanfattning : As the use of AI in society is developing, the requirement of explainable algorithms has increased. A challenge with many modern machine learning algorithms is that they, due to their often complex structures, lack the ability to produce human-interpretable explanations. LÄS MER