Sökning: "obalanserade data"
Visar resultat 16 - 20 av 29 uppsatser innehållade orden obalanserade data.
16. Data Augmentation in Solving Data Imbalance Problems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This project mainly focuses on the various methods of solving data imbalance problems in the Natural Language Processing (NLP) field. Unbalanced text data is a common problem in many tasks especially the classification task, which leads to the model not being able to predict the minority class well. LÄS MER
17. Tackling imbalanced data in Random Forest to predict free-to-fee transitions of a subscription SaaS-application
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis we investigate different methods to tackle imbalanced data when using Random Forest for classification. The data comes from a subscription SaaS-application, namely Mentimeter, which allows users to create interactive presentations. LÄS MER
18. Kunskap - nyckeln till hälsa vid premenstruella besvär : En kvantitativ studie om samband mellan hälsa, självupplevda premenstruella besvär och kunskap om hälsopromotiva livsstilsval
Kandidat-uppsats, Luleå tekniska universitet/Hälsa, medicin och rehabiliteringSammanfattning : Bakgrund: Menstruerande individer kan uppleva sämre hälsa under upp till två veckor av en menstruationscykel, som ett resultat av exempelvis känslighet för skiftande eller obalanserade hormonnivåer. Sämre hälsa är inte ett normalt tillstånd för menstruerande individer och en onormal ägglossning kan ses som en indikation på ohälsa. LÄS MER
19. Active Phase Balancing and Battery Systems for Peak Power Reduction in Residential Real Estate : An Economic Feasibility Study
Master-uppsats, KTH/Industriell ManagementSammanfattning : Research has shown that three-phase balancing alone can improve the operation of secondary distribution networks and that the addition of energy storage to the phase balancing power electronics further helps to alleviate the negative effects of phase unbalances. However, less attention has been paid to the economic potential of said technologies and particularly for loadside implementation. LÄS MER
20. Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns. LÄS MER