Essays about: "Model comparision."
Showing result 1 - 5 of 12 essays containing the words Model comparision..
-
1. Teacher characteristics and choicesand their effects on reading achievement: A comparision between Sweden and Quebec
University essay from Göteborgs universitet/Institutionen för pedagogik och specialpedagogikAbstract : 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. READ MORE
-
2. Comparision of Machine Learning Algorithms on Identifying Autism Spectrum Disorder
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE
-
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
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : 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. READ MORE
-
4. Comparison of Machine learningalgorithms on Predicting Churn withinMusic streaming service
University essay from Blekinge Tekniska HögskolaAbstract : 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. READ MORE
-
5. Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : 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. READ MORE