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Title:
Delno nadzorovan meta klasifikator v programskem jeziku Python : diplomsko delo
Authors:
ID
Mirnik, Ingrid
(Author)
ID
Karakatič, Sašo
(Mentor)
More about this mentor...
Files:
UN_Mirnik_Ingrid_2021.pdf
(2,43 MB)
MD5: 574B8AA51A71417F966B83A136CAC015
PID:
20.500.12556/dkum/9fa19163-e3be-4259-8699-c90eb13959ae
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V zaključnem delu se ukvarjamo z razvojem delno nadzorovanega meta klasifikatorja in njegovim delovanjem. Namen zaključenega dela je predstaviti koristnost delno nadzorovane klasifikacije ter uporabo te na praktičnem primeru. Rešitev smo razvili s pomočjo programskega jezika Python in scikit-learn knjižnice. Pri preverjanju delovanja klasifikatorja smo se omejili na tri različne podatkovne množice, katerim se deleži označenih podatkov spreminjajo glede na test. Primerjali smo rezultate nadzorovanih in delno nadzorovanih klasifikatorjev, ki so se vrnili podobni. Ugotovili smo, da med rezultati nadzorovanih in delno nadzorovanih klasifikatorjev ni bistvene razlike, razen v časovni zahtevnosti, ki je občutno večja pri delno nadzorovanih klasifikatorjih.
Keywords:
Python
,
delno nadzorovana klasifikacija
,
strojno učenje
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[I. Mirnik]
Year of publishing:
2021
Number of pages:
VII, 56 str.
PID:
20.500.12556/DKUM-79798
UDC:
004.434:004.8(043.2)
COBISS.SI-ID:
93977859
Publication date in DKUM:
18.10.2021
Views:
1009
Downloads:
88
Metadata:
Categories:
KTFMB - FERI
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:
MIRNIK, Ingrid, 2021,
Delno nadzorovan meta klasifikator v programskem jeziku Python : diplomsko delo
[online]. Bachelor’s thesis. Maribor : I. Mirnik. [Accessed 24 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=79798
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Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
02.09.2021
Secondary language
Language:
English
Title:
Semi-supervised meta classifier in the Python programming language
Abstract:
In this thesis, we are dealing with the development of a semi-supervised meta classifier and its operation. The purpose is to present the usefulness of semi-supervised classification and its usage on a practical example. We developed the solution using Python programming language and the scikit-learn library. When testing the classifier, we limited ourselves to three distinctive data sets, which labeled data proportions change with different tests. We compared the results of supervised and semi-supervised classifiers, which came back similar. We disclosed no notable difference between the results of supervised and semi-supervised classifiers, except the time complexity, which is significantly higher for semi-supervised classifiers.
Keywords:
Python
,
semi-supervised classification
,
machine learning
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