Sökning: "Random regression forests"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden Random regression forests.

1. 1. Regression and time estimation in the manufacturing industry

   Kandidat-uppsats, Uppsala universitet/Statistik, AI och data science

   Författare :Walter Bjernulf; [2023]
   Nyckelord :regression; linear regression; regression trees; random forests; cross validation; variable selection; conformal prediction;

   Sammanfattning : 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. LÄS MER

3. 2. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

   Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Humphry Takang Bate; [2023]
   Nyckelord :;

   Sammanfattning : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. LÄS MER

4. 3. Explainable Machine Learning in Cardiovascular Diagnostics

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexander Gutell; Ludvig Skare; [2023]
   Nyckelord :;

   Sammanfattning : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. LÄS MER

5. 4. Estimating the Impact of Website Changes on Conversion Rates

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Författare :Jan Jarco; [2023]
   Nyckelord :website design; causal inference; observational study; average treatment effects; double machine learning; Business and Economics;

   Sammanfattning : This study sought to evaluate the historical impact of changes to an ordering page of an online travel agency on its conversion rates. Data gathered from the website over a year, detailing aspects such as travel dates, prices, itineraries, number of passengers, travel time, and carriers, was analyzed. LÄS MER

7. 5. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

   Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Alexander Wirdemo; [2023]
   Nyckelord :Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

   Sammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER