diplomsko delo
Miha Biček (Avtor), Janez Demšar (Mentor)

Povzetek

Grafični gradnik za merjenje kvalitete klasifikatorja s pomočjo krivulj

Ključne besede

strojno učenje;ROC;ocenjevanje klasifikatorjev;klasifikator;vizualizacija;računalništvo;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [M. Biček]
UDK: 004(043.2)
COBISS: 7148884 Povezava se bo odprla v novem oknu
Št. ogledov: 846
Št. prenosov: 222
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: [Widget for measuring classifier performance based on curves]
Sekundarni povzetek: In machine learning we are often faced with a task of evaluating and comparing classifiers based on their performance. Alongside scalar measures various graphical methods are being used. Graphical methods such as Receiver Operating Characheristic Curve (ROC) or Precision-Recall (PR) are already well known and used in the machine learning community. This thesis explores the options of using alternative graphical methods to help us explore and compare classifiers. The first chapter describes two of most commonly used graphical methods along with the algorithm to produce the set of points for this methods. Later on it depicts examples of two less conventional methods that could be used along side ROC and PR curve. End of this chapter covers methods that help us estimate the measure of variance. The second chapter begins with a description of a generic algorithm that can be used to define methods to evaluate and compare classifiers. Afterwards it describes an implementation of this algorithm as a widget in a data mining software called Orange. It also describes the user interface of the widget and some guidelines how to use it. The third chapter gives some examples how the widget could be used. The fourth chapter is the conclusion of the thesis. It consists of assessing if the goals of the thesis were met and pointing out some flaws of the widget.
Sekundarne ključne besede: data mining;ROC;clasification;visualization;computer science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo
Komentar na gradivo: Univerza v Ljubljani, Fakulteta za računalništvo in informatiko
Strani: 45 str.
ID: 23868202