Essays about: "Cross validation"
Showing result 6 - 10 of 304 essays containing the words Cross validation.
-
6. Regression and time estimation in the manufacturing industry
University essay from Uppsala universitet/Statistik, AI och data scienceAbstract : In this thesis an analysis is performed on operation times for different sized products in a manufacturing company. The thesis will introduce and summarise most of the theory needed to perform regression and also cover a worked example where three different regression models are learned, evaluated and analysed. READ MORE
-
7. Cable Shape Optimization - Drag Reduction of Cables Used in Marine Applications
University essay from KTH/Teknisk mekanikAbstract : It is important to understand the aerodynamic properties of tensioned cables (e.g. used in suspension bridges and yacht riggings), both for drag reduction and vibrational suppression purposes. READ MORE
-
8. Predicting heart failure emergency readmissions
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Recent progress in treatment interventions has resulted in increased survival rates and longevity for diagnosed heart failure patients. However, heart failure still remains one of the leading causes of rehospitalization worldwide, where emergency readmissions continue to be a common occurrence. READ MORE
-
9. A Predictive Analysis of Customer Churn
University essay from KTH/Matematisk statistikAbstract : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. READ MORE
-
10. Robustness Against Non-Normality : Evaluating LDA and QDA in Simulated Settings Using Multivariate Non-Normal Distributions
University essay from Uppsala universitet/Statistiska institutionenAbstract : Evaluating classifiers in controlled settings is essential for empirical applications, as extensive knowledge on model-behaviour is needed for accurate predictions. This thesis investigates robustness against non-normality of two prominent classifiers, LDA and QDA. READ MORE