Sökning: "Binary logistic regression"
Visar resultat 16 - 20 av 152 uppsatser innehållade orden Binary logistic regression.
16. The Predictive Power of Implied Volatility in Option Pricing
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : During the last few years, financial derivatives have been growing in trading volume. There seem to be a high demand and supply of derivatives on the market and one common derivative is the option contract. The option contract is frequently the subject of studies and many different pricing models have been created for options. LÄS MER
17. The incidence of post-operative colic in adult equine patients undergoing elective non-abdominal surgery at SLU and potential risk factors
Master-uppsats, SLU/Dept. of Clinical SciencesSammanfattning : Post-operative colic (POC) is a well-recognised complication in horses undergoing abdominal surgery but there are few studies describing the prevalence and incidence of colic in horses after non-abdominal surgery. Recently, the benefits of fasting horses pre-operatively have been questioned. LÄS MER
18. A Hybrid Approach to Hate Speech Detection
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : An interesting question is to what extent can background knowledge help in the context of text classification. To address this in more detail, can a traditional rulebased classifier help boost the accuracy of learned models? We explore this here for detecting hate speech and offensive language in online text. LÄS MER
19. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. LÄS MER
20. Machine Learning to predict student performance based on well-being data : a technical and ethical discussion
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The data provided by educational platforms and digital tools offers new ways of analysing students’ learning strategies. One such digital tool is the wellbeing platform created by EdAider, which consists of an interface where students can answer questions about their well-being, and a dashboard where teachers and schools can see insights into the well-being of individual students and groups of students. LÄS MER