-
1
-
-
0345438685
-
ROC graphs: Notes and practical considerations for data mining researchers
-
HP Laboratories
-
T. Fawcett, "ROC graphs: notes and practical considerations for data mining researchers", HP Technical Report HPL-2003-4, HP Laboratories, 2003.
-
(2003)
HP Technical Report
, vol.HPL-2003-4
-
-
Fawcett, T.1
-
2
-
-
1942421135
-
The geometry of ROC space: Understanding machine learning metrics through ROC isometrics
-
P. A. Flach, "The geometry of ROC space: understanding machine learning metrics through ROC isometrics", Proceedings of the ICML-04, 2004.
-
(2004)
Proceedings of the ICML-04
-
-
Flach, P.A.1
-
3
-
-
14844342344
-
The many faces of ROC analysis in machine learning
-
P. A. Flach, "The many faces of ROC analysis in machine learning", ICML-2004 Tutorial, Notes available at:http://www.cs.bris.ac.uk/ flach/ICML04tutorial/index.html
-
ICML-2004 Tutorial
-
-
Flach, P.A.1
-
4
-
-
0003562954
-
A simple generalisation of the area under the ROC curve for multiple class classification problems
-
D. Hand and R. J. Till, "A simple generalisation of the area under the ROC curve for multiple class classification problems", Machine Learning, Vol. 45, 171-186, 2001.
-
(2001)
Machine Learning
, vol.45
, pp. 171-186
-
-
Hand, D.1
Till, R.J.2
-
5
-
-
84880794162
-
AUC: A statistically consistent and more discriminating measure than accuracy
-
C. X. Ling, J. Huang and H. Zhang, "AUC: a statistically consistent and more discriminating measure than accuracy", Proceedings of IJCAI-03, 2003.
-
(2003)
Proceedings of IJCAI-03
-
-
Ling, C.X.1
Huang, J.2
Zhang, H.3
-
6
-
-
0002900357
-
The case against accuracy estimation for comparing induction algorithms
-
J. Shavlik, editor
-
F. Provost, T. Fawcett, and R. Kohavi, "The case against accuracy estimation for comparing induction algorithms," in J. Shavlik, editor, Proceedings of ICML-98, pp. 445-453, 1998.
-
(1998)
Proceedings of ICML-98
, pp. 445-453
-
-
Provost, F.1
Fawcett, T.2
Kohavi, R.3
-
7
-
-
0035283313
-
Robust classification for imprecise environments
-
F. Provost and T. Fawcett, "Robust classification for imprecise environments", Machine Learning. Vol. 42, 203-231, 2001.
-
(2001)
Machine Learning
, vol.42
, pp. 203-231
-
-
Provost, F.1
Fawcett, T.2
-
8
-
-
0042346121
-
Tree induction for probability-based ranking
-
F. Provost and P. Domingos, "Tree induction for probability-based ranking",Machine Learning. 52, 199-215, 2003.
-
(2003)
Machine Learning
, vol.52
, pp. 199-215
-
-
Provost, F.1
Domingos, P.2
-
9
-
-
0003259364
-
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
-
[9] B. Zadrozny and C. Elkan, "Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers", Proceedings of ICML-01, 2001.
-
(2001)
Proceedings of ICML-01
-
-
Zadrozny, B.1
Elkan, C.2
|