Essays about: "Random Forest RF"
Showing result 16 - 20 of 79 essays containing the words Random Forest RF.
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16. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. READ MORE
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17. In-Situ Gold Resource Estimation Using Satellite Remote Sensing and Machine Learning in Defunct Tailing Storage Facilities (South Africa)
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : The mining industry generates billions of tonnes of waste annually, which is often stored in tailings storage facilities (TSF). This waste is generated from the extraction of ore from surface or underground mines, as well as from metallurgical processing and low-grade stockpiles. READ MORE
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18. Identifying the beginning of a kayak race using velocity signal data
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : A kayak is a small watercraft that moves over the water. The kayak is propelled by a person sitting inside of the hull and paddling using a double-bladed paddle. While kayaking can be casual, it is used as a competitive sport in races and even the Olympic games. READ MORE
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19. CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
University essay from Uppsala universitet/Statistiska institutionenAbstract : Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success. It costs five to seven times more toacquire a new customer than it does to retain an existing one. READ MORE
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20. Predicting IPO Underpricing: A study on the predictability of IPO underpricing through machine learning algorithms
University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringAbstract : This paper primarily serves to examine whether a specific subset of variables, derived from publicly available pre-IPO data, can be effectively modeled to predict and classify if an IPO will be underpriced using non-linear machine learning (ML) models. Secondly, we analyze whether the performance of ML-based models is greater compared to conventional linear models. READ MORE