Sökning: "logistic regression model"

Visar resultat 21 - 25 av 467 uppsatser innehållade orden logistic regression model.

  1. 21. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Nyckelord :Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Sammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. LÄS MER

  3. 22. Utvärdering av rule of ten för logistisk regression

    Kandidat-uppsats, Umeå universitet/Statistik

    Författare :Tobias Boman; Jakob Vinberg; [2023]
    Nyckelord :;

    Sammanfattning : Tidigare studier har visat att koefficientskattningar för logistisk regression inte är pålitliga när EPV (events per variable, händelser per variabel) är lågt. Baserat på dessa studier har en tumregel på minst 10 EPV föreslagits. Tumregeln kallas ’rule of ten’ och är vad som har undersökts i den här studien. LÄS MER

  4. 23. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Oskar Fransson; [2023]
    Nyckelord :Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

    Sammanfattning : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. LÄS MER

  5. 24. Predicting the Movement of the S&P 500 Index using Machine Learning

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Bakary Bah; [2023]
    Nyckelord :Machine Learning; S P 500 Index; Random Forest; Logistic Regression; Business and Economics;

    Sammanfattning : Predicting the stock market has been a longstanding topic of interest in financial research. It is regarded as a highly challenging but important task given the vital role the financial markets play in shaping the global economies. In this thesis, the goal is to predict the movement of the S&P 500 Index using machine learning methods. LÄS MER

  7. 25. Intergenerational Educational Mobility among Immigrants and Natives in Germany

    Master-uppsats, Lunds universitet/Ekonomisk-historiska institutionen

    Författare :Anastasia Demidova; [2023]
    Nyckelord :Intergenerational Mobility; Migration; Education; Human Capital; Germany; Business and Economics; Social Sciences;

    Sammanfattning : This study examines the intergenerational educational mobility among immigrants and natives in Germany. Three regression models are estimated to investigate potential differences in the transmission of human capital from parents to their children between immigrants and natives. LÄS MER