Sökning: "Model comparision."

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Model comparision..

  1. 1. Teacher characteristics and choicesand their effects on reading achievement: A comparision between Sweden and Quebec

    Master-uppsats, Göteborgs universitet/Institutionen för pedagogik och specialpedagogik

    Författare :Andrea Barber; [2024-01-12]
    Nyckelord :PIRLS 2011; reading achievement; SEM; cross-country comparison; teacher and classroom factors;

    Sammanfattning : Purpose. The purpose of this study is to compare teacher and classroom factors that are believed to affect students’ reading achievement scores at the fourth grade level by using PIRLS 2011 dataset. LÄS MER

  3. 2. Comparision of Machine Learning Algorithms on Identifying Autism Spectrum Disorder

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Naga Sai Gayathri Aravapalli; Manoj Kumar Palegar; [2023]
    Nyckelord :Autism Spectrum Disorder ASD ; Classification; Data pre-processing; Feature selection; Machine learning algorithms; Random Forest Classifier; Support Vector Classifier.;

    Sammanfattning : Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmen-tal disorder that affects social communication, behavior, and cognitive development.Patients with autism have a variety of difficulties, such as sensory impairments, at-tention issues, learning disabilities, mental health issues like anxiety and depression,as well as motor and learning issues. LÄS MER

  4. 3. Classifying High-Growth Manufacturing Firms on the Swedish Stock Market:A Comparative Study Between the Logistic Regression, Support Vector Machine and Artificial Neural Network

    Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :William Fridström; [2023]
    Nyckelord :Machine Learning; Econometrics; Firm Growth; Binary Classification; Prediction; Model comparision.; Business and Economics;

    Sammanfattning : This is a comparative study between two modern machine learning algorithms, the Support Vector Machine and Artificial neural network, and one traditional econometric model, the Logistic regression. The main objective is to compare their performance by classifying high-growth companies. LÄS MER

  5. 4. Comparison of Machine learningalgorithms on Predicting Churn withinMusic streaming service

    Kandidat-uppsats, Blekinge Tekniska Högskola

    Författare :Lahari Gaddam; Sree Lakshmi Hiranmayee Kadali; [2022]
    Nyckelord :Churn Prediction; Classification Algorithms; Machine Learning; Music Stream; Supervised Learning.;

    Sammanfattning : Background: Customer churn prediction is one of the most popular part of bigbusinesses and often help the companies in customer retention and revenue generation.Customer churn may lead to huge loss of revenue and is important to analyzeand determine the cause for churn. LÄS MER

  7. 5. Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :THOMAS BINDER; [2019]
    Nyckelord :segmentation; deep learning; convolutional neural networks; machine learning; artificial intelligence;

    Sammanfattning : The analysis of glandular morphology within histopathology images is a crucial step in determining the stage of cancer. Manual annotation is a very laborious task. It is time consuming and suffers from the subjectivity of the specialists that label the glands. LÄS MER