Essays about: "K-Fold Cross Validation Test"
Showing result 1 - 5 of 8 essays containing the words K-Fold Cross Validation Test.
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1. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE
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2. Viewership forecast on a Twitch broadcast : Using machine learning to predict viewers on sponsored Twitch streams
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Today, the video game industry is larger than the sports and film industries combined, and the largest streaming platform Twitch with an average of 2.8 million concurrent viewers offers the possibility for gaming and non-gaming brands to market their products. READ MORE
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3. Discovering and masking environmental features in modern sandboxes
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The awareness of cyber attacks in businesses is increasing with the rising number of cyber incidents for businesses. With nearly 350 000 new malware detected per day, there is a big incentive to allocate resources to company infrastructure to mitigate malware. These solutions require scalability not to become bottlenecks and expensive. READ MORE
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4. Friends character classification personality quiz
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The purpose of this project was to create a personality quiz based on the scientifical method and machine learning that determine which character in the TV-series Friends that the person taking the quiz is the most similar to. The manuscripts from all the episodes were used to extract features and create a split training/test dataset. READ MORE
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5. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. READ MORE