Essays about: "Klassificerare"
Showing result 1 - 5 of 148 essays containing the word Klassificerare.
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1. The deductibles impact on the risk premium
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : 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. READ MORE
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2. Double Machine Learning for Insurance Price Optimization
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : 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. READ MORE
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3. Predicting Myocardial Injury After Noncardiac Surgery
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Myocardial injury is the leading cause of death in Europe following non-cardiac surgery. Its causes, diagnosis, and treatment are still under investigation by the scientific community. Some research groups have hypothesized a connection between myocardial injury and hypotension during surgery. READ MORE
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4. Monthly heatwave prediction in Sweden based on Machine Learning techniques with remote sensing data
University essay from KTH/Hållbar utveckling, miljövetenskap och teknikAbstract : Heatwave events as a kind of extreme climate event, have plagued the human race for the past few years. It severely influences people’s life quality, sometimes even leads to some serious diseases. In order to alleviate the possible damages heatwave events can do, some targeted actions are necessary and forecasting heatwaves is one of them. READ MORE
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5. Predicting user churn using temporal information : Early detection of churning users with machine learning using log-level data from a MedTech application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : User retention is a critical aspect of any business or service. Churn is the continuous loss of active users. A low churn rate enables companies to focus more resources on providing better services in contrast to recruiting new users. READ MORE