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» Cost Curve Evaluation of Fault Prediction Models
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DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 6 months ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic
JMLR
2010
133views more  JMLR 2010»
13 years 2 days ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
13 years 9 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 5 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo
DSN
2007
IEEE
13 years 11 months ago
On the Selection of Error Model(s) for OS Robustness Evaluation
The choice of error model used for robustness evaluation of Operating Systems (OSs) influences the evaluation run time, implementation complexity, as well as the evaluation preci...
Andréas Johansson, Neeraj Suri, Brendan Mur...