Sökning: "Precision and Recall"
Visar resultat 1 - 5 av 367 uppsatser innehållade orden Precision and Recall.
1. Android Malware Detection Using Machine Learning
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER
2. Tiaminbrist på idisslare : hur vanligt är det med symtom i Sverige?
Master-uppsats, SLU/Dept. of Animal Environment and HealthSammanfattning : Tiamin är ett vattenlösligt vitamin essentiellt för många djur, inklusive människor. Idisslare producerar normalt tillräckligt med tiamin via mikrober i våmmen, men brist kan ändå uppstå vid särskilda förhållanden. LÄS MER
3. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. LÄS MER
4. The influence of data annotation process requirements on performance criteria of ML models
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The data annotation process is a critical step in the development of machine learning (ML) models, as it entails labeling data to help supervised learning. This study investigates the impact of data annotation process requirements on the performance of ML models. LÄS MER
5. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the efficacy of ChatGPT in generating software requirements and compares its performance to human participants through an experimental study. The study addresses three main research questions (RQs), examining how ChatGPT-generated requirements align with human-written requirements, the variation in quality between different versions of ChatGPT using two additional sub-questions that look at improvement in quality from feedback and consistency of quality when the same prompt is queried multiple times, and the capacity of the Content at Scale AI detector in identifying AI-generated requirements. LÄS MER