Essays about: "Leave-one-out"
Showing result 1 - 5 of 21 essays containing the word Leave-one-out.
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1. 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
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2. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. READ MORE
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3. The Economic Consequences of Democratization in Benin
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : In the 1990s, several West African countries transitioned from autocracy to democracy, and this wave of democratization originated and spread from Benin. This paper aims to assess the impact of democratization on the economy of Benin through the use of the synthetic control method. READ MORE
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4. Parkinson’s disease tremor assessment: Leveragingsmartphones for symptom measurement
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : Parkinson's disease (PD) is a progressive, chronic neurodegenerative disorder that impacts patients' quality of life. Hand tremor is a hallmark motor symptom of PD. However, current clinical tremor assessment methods are time-consuming and expensive and may not capture the full extent of tremor fluctuations. READ MORE
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5. Supervised classification for human movement data : A comparative study of functional and traditional methods
University essay from Umeå universitet/StatistikAbstract : Functional data analysis (FDA) has a growing importance in statistics, especially in disciplines like biomechanics, where it is common to observe data over time. The objective of this thesis is to employ FDA techniques and compare the classification performance of supervised classification models utilizing functional data with the same models using a discrete summary measurement (max-values) as input. READ MORE