Classifier utility visualization by distance-preserving projection of high dimensional performance data

Nathalie Japkowicz; Pritika Sanghi; Peter Eric Tischer

Classifier utility visualization by distance-preserving projection of high dimensional performance data

Nathalie Japkowicz, Pritika Sanghi, Peter Eric Tischer

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II
Editors	Chris Drummond, William Elazmeh, Nathalie Japkowicz, Sofus A Macskassy
Place of Publication	Menlo Park CA USA
Publisher	Association for the Advancement of Artificial Intelligence (AAAI)
Pages	16 - 21
Number of pages	6
ISBN (Print)	9781577353324
Publication status	Published - 2007
Event	AAAI Workshop Evaluation Methods for Machine Learning - Ottawa Canada, Menlo Park CA USA Duration: 1 Jan 2007 → …

Conference

Conference	AAAI Workshop Evaluation Methods for Machine Learning
City	Menlo Park CA USA
Period	1/01/07 → …

Cite this

Japkowicz, N., Sanghi, P., & Tischer, P. E. (2007). Classifier utility visualization by distance-preserving projection of high dimensional performance data. In C. Drummond, W. Elazmeh, N. Japkowicz, & S. A. Macskassy (Eds.), Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II (pp. 16 - 21). Association for the Advancement of Artificial Intelligence (AAAI).

Japkowicz, Nathalie ; Sanghi, Pritika ; Tischer, Peter Eric. / Classifier utility visualization by distance-preserving projection of high dimensional performance data. Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II. editor / Chris Drummond ; William Elazmeh ; Nathalie Japkowicz ; Sofus A Macskassy. Menlo Park CA USA : Association for the Advancement of Artificial Intelligence (AAAI), 2007. pp. 16 - 21

@inproceedings{ea957c5bb625424ab71c40511a1d597d,

title = "Classifier utility visualization by distance-preserving projection of high dimensional performance data",

author = "Nathalie Japkowicz and Pritika Sanghi and Tischer, {Peter Eric}",

year = "2007",

language = "English",

isbn = "9781577353324",

pages = "16 -- 21",

editor = "Chris Drummond and William Elazmeh and Nathalie Japkowicz and Macskassy, {Sofus A}",

booktitle = "Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II",

publisher = "Association for the Advancement of Artificial Intelligence (AAAI)",

address = "United States of America",

note = "AAAI Workshop Evaluation Methods for Machine Learning ; Conference date: 01-01-2007",

}

Japkowicz, N, Sanghi, P & Tischer, PE 2007, Classifier utility visualization by distance-preserving projection of high dimensional performance data. in C Drummond, W Elazmeh, N Japkowicz & SA Macskassy (eds), Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II. Association for the Advancement of Artificial Intelligence (AAAI), Menlo Park CA USA, pp. 16 - 21, AAAI Workshop Evaluation Methods for Machine Learning, Menlo Park CA USA, 1/01/07.

Classifier utility visualization by distance-preserving projection of high dimensional performance data. / Japkowicz, Nathalie; Sanghi, Pritika; Tischer, Peter Eric.
Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II. ed. / Chris Drummond; William Elazmeh; Nathalie Japkowicz; Sofus A Macskassy. Menlo Park CA USA: Association for the Advancement of Artificial Intelligence (AAAI), 2007. p. 16 - 21.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Classifier utility visualization by distance-preserving projection of high dimensional performance data

AU - Japkowicz, Nathalie

AU - Sanghi, Pritika

AU - Tischer, Peter Eric

PY - 2007

Y1 - 2007

M3 - Conference Paper

SN - 9781577353324

SP - 16

EP - 21

BT - Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II

A2 - Drummond, Chris

A2 - Elazmeh, William

A2 - Japkowicz, Nathalie

A2 - Macskassy, Sofus A

PB - Association for the Advancement of Artificial Intelligence (AAAI)

CY - Menlo Park CA USA

T2 - AAAI Workshop Evaluation Methods for Machine Learning

Y2 - 1 January 2007

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Japkowicz N, Sanghi P, Tischer PE. Classifier utility visualization by distance-preserving projection of high dimensional performance data. In Drummond C, Elazmeh W, Japkowicz N, Macskassy SA, editors, Proceedings of the 2007 AAAI Workshop Evaluation Methods for Machine Learning II. Menlo Park CA USA: Association for the Advancement of Artificial Intelligence (AAAI). 2007. p. 16 - 21