Sökning: "linear classifier"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden linear classifier.

1. 1. The deductibles impact on the risk premium

   Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Ludvig Bergman; [2023]
   Nyckelord :deductible; insurance mathematics; non-life insurance pricing; Försäkringsmatematik; självrisk; självrisker;

   Sammanfattning : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. LÄS MER

3. 2. Double Machine Learning for Insurance Price Optimization

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Jakob Kristiansson; [2023]
   Nyckelord :DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

   Sammanfattning : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. LÄS MER

4. 3. 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 datavetenskap

   Författare :Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Nyckelord :Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Sammanfattning : 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

5. 4. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Magnus Gerde; [2023]
   Nyckelord :Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

   Sammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER

7. 5. A Hybrid Approach to Hate Speech Detection

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Simon Rickardsson; [2023]
   Nyckelord :;

   Sammanfattning : 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