Sökning: "Decision Tree"
Visar resultat 16 - 20 av 342 uppsatser innehållade orden Decision Tree.
16. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. LÄS MER
17. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. LÄS MER
18. Building Predictive Models for Stock Market Performance : En studie om maskininlärning och deras prestanda
Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : Today it is important for investors to identify which stocks that will result in positive returns in order for the right decision to be made when trading on the stock market. For decades it has been an area of interest for academics, and it is still challenging due to many difficulties and problems. LÄS MER
19. Ett byggprojekts miljöpåverkan : En fallstudie om minskning av avfallsmängd och CO₂-utsläpp på ett byggprojekt
Kandidat-uppsats, Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknikSammanfattning : Introduction: Within the construction industry, approx. 40% of Sweden's entire amount of waste and over 20% of greenhouse gas emissions are produced. Thus, it is interesting to investigate a construction project's environmental impact from these two aspects. LÄS MER
20. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER