CORElearn - Classification, Regression, Feature Evaluation and Ordinal Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00333133" target="_blank" >RIV/67985807:_____/09:00333133 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CORElearn - Classification, Regression, Feature Evaluation and Ordinal Evaluation
Original language description
CORElearn is machine learning suite ported to R from standalone C++ package. It contains several model learning techniques in classification and regression, for example classification and regression trees with optional constructive induction and models in the leafs, random forests, kNN, naive Bayes, and locally weighted regression. It is especially strong in feature evaluation algorithms where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g.,Gini, information gain, MDL, DKM, ... Its additional strength is ordEval algorithm and its visualization used for ordinal features and class.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET100300517" target="_blank" >1ET100300517: Methods for Intelligent Systems and Their Applications in Datamining and Natural Language Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
CORElearn
Technical parameters
rozšiřující balík pro statistické prostředí R psaný především ve jazyce C++
Economical parameters
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Owner IČO
67985807
Owner name
Ústav informatiky AV ČR, v.v