Instance spaces for machine learning classification
type: Item
instance of: scholarly article
title: Instance spaces for machine learning classification
zbMATH Open document ID: 1457.68235
author: Laura Villanova
author: Davaatseren Baatar
author: Mario Andrés Muñoz
author: Kate A. Smith-Miles
published in: Machine Learning
publication date: 2018-04-03T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6855214
zbMATH Keywords: classification
zbMATH Keywords: meta-learning
zbMATH Keywords: test data
zbMATH Keywords: instance space
zbMATH Keywords: performance evaluation
zbMATH Keywords: algorithm footprints
zbMATH Keywords: test instance generation
zbMATH Keywords: instance difficulty
describes a project that uses: Kernlab
describes a project that uses: PYTHIA
describes a project that uses: R
describes a project that uses: UCI-ml
describes a project that uses: KEEL
describes a project that uses: e1071
describes a project that uses: OpenML
describes a project that uses: GAUSS
describes a project that uses: UCI++
describes a project that uses: rpart
describes a project that uses: MASS (R)
describes a project that uses: kknn
describes a project that uses: JStatCom
describes a project that uses: WEKA
describes a project that uses: ElemStatLearn
describes a project that uses: ReliefF
MaRDI profile type: Publication
full work available at URL: s10994-017-5629-5
OpenAlex ID: W2775947831
Wikidata QID: Q62033260
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cites work: PYTHIA
DOI: 10.1007/S10994-017-5629-5
description: scientific article; zbMATH DE number 6855214