Sökning: "Regression Tree"

Visar resultat 1 - 5 av 199 uppsatser innehållade orden Regression Tree.

1. 1. Android Malware Detection Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Rahul Sai Kesani; [2024]
   Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

   Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

3. 2. Decision Trees for Classification of Repeated Measurements

   Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Författare :Julianna Holmberg; [2024]
   Nyckelord :Repeated Measurement Data; Growth Curve Model; Linear Discriminant Analysis; Decision Tree; Bootstrap Aggregating; CART; CART-LC;

   Sammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER

4. 3. From Tree Huggers to Money Makers: How ESG Scores Boost Corporate Financial Performance in the EU

   Kandidat-uppsats,

   Författare :Martin Ekendahl; Philippa Hedström; [2023-06-29]
   Nyckelord :ESG score; financial performance; stakeholder theory; the EU; fixed effects model;

   Sammanfattning : This thesis examines the relationship between Environmental, Social, and Governance (ESG) scores and financial performance as measured by both accounting- and market-based measures; Return on Assets and Tobin's Q. The study takes a particular focus on the European Union (EU), more specifically on companies operating in the region and the union's strong commitment to achieving the Sustainable Development Goals (SDGs) and more general efforts towards a more sustainable future. LÄS MER

5. 4. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures

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

   Författare :Camille Finlinson Porter; [2023-03-22]
   Nyckelord :enzyme; protein; amino acid; protein structure; optimal catalytic temperature;

   Sammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER

7. 5. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Tobias Andersson; Mattias Mentes; [2023]
   Nyckelord :Probability of Default; Machine Learning; Stress Testing; Logistic Regression; Decision Tree; Random Forest; Artificial Neural Network;

   Sammanfattning : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. LÄS MER