Essays about: "variabelselektion"

Showing result 1 - 5 of 14 essays containing the word variabelselektion.

1. 1. 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)

   Author : Love Marcus; [2023]
   Keywords : User churn; Customer attrition; Artificial neural networks; Log-level analysis; Random forests; Decision trees; Användarbortfall; Kundbortfall; Artificiella neurala nätverk; logganalys; Slumpskogar; Beslutsträd;

   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

3. 2. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isac Lorentz; [2023]
   Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

   Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE

4. 3. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Erik Persson; [2022]
   Keywords : Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

   Abstract : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. READ MORE

5. 4. Assessing the influence of macroeconomic variables on property prices in Sweden

   University essay from KTH/Matematisk statistik

   Author : Sebastian Johansson Parastatis; Alexander Falk; [2022]
   Keywords : regression analysis; applied mathematics; macroeconomics; mathematical statistics; Multiple linear regression; regressionsanalys; tillämpad matematik; makroekonomi; matematisk statistik; multipel linjär regression;

   Abstract : This paper examines the impact of several macroeconomic variables on property prices in Sweden. Linear regression is used to construct severalmathematical models relating the macroeconomic variables to property prices. READ MORE

6. 5. Predicting Subprime Customers' Probability of Default Using Transaction and Debt Data from NPLs

   University essay from KTH/Matematisk statistik

   Author : Lai-Yan Wong; [2021]
   Keywords : Credit Scoring Model; Probability of Default; Payment Behaviour; Subprime Customer; Non-performing Loan; Logistic Regression; Regularization; Feature Selection; Kreditvärdighetsmodell; Sannolikhet för Fallissemang; Betalningsbeteende; Högriskkunder; Nödlidandelån; Logistik Regression; Regularisering; Variabelselektion;

   Abstract : This thesis aims to predict the probability of default (PD) of non-performing loan (NPL) customers using transaction and debt data, as a part of developing credit scoring model for Hoist Finance. Many NPL customers face financial exclusion due to default and therefore are considered as bad customers. READ MORE