Sökning: "Random Forest Regression"

Visar resultat 1 - 5 av 71 uppsatser innehållade orden Random Forest Regression.

  1. 1. Predicting rifle shooting accuracy from context and sensor data : A study of how to perform data mining and knowledge discovery in the target shooting domain

    Kandidat-uppsats, Högskolan i Jönköping/JTH, Datateknik och informatik; Högskolan i Jönköping/JTH, Datateknik och informatik

    Författare :Max Pettersson; Viktor Jansson; [2019]
    Nyckelord :Interpretability; Target shooting; Regression trees; Feature selection; Cross-validation;

    Sammanfattning : The purpose of this thesis is to develop an interpretable model that gives predictions for what factors impacted a shooter’s results. Experiment is our chosen research method. Our three independent variables are weapon movement, trigger pull force and heart rate. Our dependent variable is shooting accuracy. LÄS MER

  2. 2. Modeling of non-maturing deposits

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Fredrik Stavrén; Nikita Domin; [2019]
    Nyckelord :Financial mathematics; time series analysis; replicating portfolio; risk management; risk analysis; econometric anaylsis; non-maturing deposits; SARIMA; Random forest regression; EBA; BCBS; Finansiell matematik; tidsserieanalys; replikeringsportfölj; riskhantering; riskanalys; Ekonometrisk analys; Icke-tidsbunden inlåning; ARIMA; SARIMA; SARIMAX; Random Forest Regression; EBA; BCBS;

    Sammanfattning : The interest in modeling non-maturing deposits has skyrocketed ever since thefinancial crisis 2008. Not only from a regulatory and legislative perspective,but also from an investment and funding perspective.Modeling of non-maturing deposits is a very broad subject. LÄS MER

  3. 3. Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Valgerdur Tryggvadottir; [2019]
    Nyckelord :Customer churn prediction; whales; data analysis; machine learning; binary classification.; Kund churn prediktering; valar; dataanalys; maskinlärning; binär klas-sificering.;

    Sammanfattning : Paradox Interactive is a Swedish video game developer and publisher which has players all around the world. Paradox’s largest platform in terms of amount of players and revenue is the PC. LÄS MER

  4. 4. Machine Learning for Constraint Programming

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

    Författare :Tianze Wang; [2019]
    Nyckelord :;

    Sammanfattning : It is well established that designing good heuristics for solving Constraint Programming models requires years of domain experience and a huge amount of trial and error. In this thesis project, we conduct an empirical study of whether Machine Learning and Deep Learning techniques have the potential to help the design of constraint solving heuristics. LÄS MER

  5. 5. Fraud or Not?

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Thea Åkerblom; Tobias Thor; [2019]
    Nyckelord :Logistic Regression; K-Nearest Neighbour; classification; random forest; fraud; transactions and statistical learning;

    Sammanfattning : This paper uses statistical learning to examine and compare three different statistical methods with the aim to predict credit card fraud. The methods compared are Logistic Regression, K-Nearest Neighbour and Random Forest. LÄS MER