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Title:Uporaba algoritmov strojnega učenja za ugotavljanje stopnje stresa na podlagi digitalnih navad : zaključno delo
Authors:ID Dovč, Bor (Author)
ID Kavšek, Branko (Mentor) More about this mentor... This link opens in a new window
Files:.pdf DIP_Dovc_Bor_2026.pdf (492,47 KB)
MD5: 3AA7A8609C9DF8BEAA36FA27EAE86B23
 
Language:Slovenian
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FAMNIT - Faculty of Mathematics, Science and Information Technologies
Keywords:strojno učenje, napovedni modeli, digitalne navade, stopnja stresa, klasifikacija, regresija, CSV format, ARFF format, WEKA, ZeroR, Naivni Bayes, Random Forest, J48, Linearna regresija, SMOreg, M5P, zaključno delo
Place of publishing:Koper
Place of performance:Koper
Publisher:B. Dovč
Year of publishing:2026
Year of performance:2026
Number of pages:1 spletni vir (1 datoteka PDF (X, 38 str., [2] str. pril.))
PID:20.500.12556/RUP-23162 This link opens in a new window
UDC:004.8
COBISS.SI-ID:282342403 This link opens in a new window
Note:Sistemske zahteve: Adobe Acrobat Reader
Publication date in RUP:21.06.2026
Views:17
Downloads:1
Metadata:XML DC-XML DC-RDF
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Secondary language

Language:English
Title:Using machine learning algorithms for stress level prediction based on digital behavior patterns
Keywords:mchine learning, predictive models, digital habbits, stress level, classification, regression, linear regression, thesis


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