Essays about: "ROC-AUC"
Showing result 1 - 5 of 28 essays containing the word ROC-AUC.
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1. Explainable Artificial Intelligence and its Applications in Behavioural Credit Scoring
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Credit scoring is critical for banks to evaluate new loan applications and monitor existing customers. Machine learning has been extensively researched for this case; however, the adoption of machine learning methods is minimal in financial risk management. READ MORE
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2. Prediction of dementia based on older adults’ sleep disturbances using machine learning: a controlled experiment.
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Sleep disturbances can indicate an increased risk of dementia. This study examines whether machine learning can predict this association and which sleep disturbance factors impact dementia. Methods. READ MORE
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3. Sustainable Recipe Recommendation System: Evaluating the Performance of GPT Embeddings versus state-of-the-art systems
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: The demand for a sustainable lifestyle is increasing due to the need to tackle rapid climate change. One-third of carbon emissions come from the food industry; reducing emissions from this industry is crucial when fighting climate change. READ MORE
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4. Machine Learning based Predictive Data Analytics for Embedded Test Systems
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE
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5. Semi-supervised anomaly detection in mask writer servo logs : An investigation of semi-supervised deep learning approaches for anomaly detection in servo logs of photomask writers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not learn the anomaly class directly and should have better generalization capability as new kinds of anomalies are introduced at test time. READ MORE