Be Positive!

[1]  Peter A. Flach The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics , 2003, ICML.

[2]  Peter Ingwersen,et al.  Information seeking research needs extension toward tasks and technology , 2004, Inf. Res..

[3]  Johannes Fürnkranz,et al.  ROC ‘n’ Rule Learning—Towards a Better Understanding of Covering Algorithms , 2005, Machine Learning.

[4]  Robert C. Holte,et al.  Cost curves: An improved method for visualizing classifier performance , 2006, Machine Learning.

[5]  Tom Fawcett,et al.  ROC Graphs: Notes and Practical Considerations for Data Mining Researchers , 2003 .

[6]  Andrew Turpin,et al.  Do batch and user evaluations give the same results? , 2000, SIGIR '00.

[7]  Peter A. Flach,et al.  Learning Decision Trees Using the Area Under the ROC Curve , 2002, ICML.

[8]  Tom Fawcett,et al.  Robust Classification for Imprecise Environments , 2000, Machine Learning.

[9]  Mehryar Mohri,et al.  AUC Optimization vs. Error Rate Minimization , 2003, NIPS.

[10]  David J. Hand,et al.  A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.

[11]  D. Mossman Three-way ROCs , 1999, Medical decision making : an international journal of the Society for Medical Decision Making.

[12]  Pedro M. Domingos,et al.  Tree Induction for Probability-Based Ranking , 2003, Machine Learning.

[13]  Adeolu O. Adewuyi,et al.  China-Nigeria economic relations , 2008 .

[14]  Peter A. Flach,et al.  Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves , 2003, ICML.

[15]  Andrew Turpin,et al.  Why batch and user evaluations do not give the same results , 2001, SIGIR '01.

[16]  Tom Fawcett,et al.  PAV and the ROC convex hull , 2007, Machine Learning.

[17]  Bianca Zadrozny,et al.  Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers , 2001, ICML.

[18]  Falk Scholer,et al.  User performance versus precision measures for simple search tasks , 2006, SIGIR.

[19]  Johannes Fürnkranz,et al.  An Analysis of Rule Evaluation Metrics , 2003, ICML.

[20]  Peter A. Flach,et al.  A Simple Lexicographic Ranker and Probability Estimator , 2007, ECML.

[21]  James Allan,et al.  When Will Information Retrieval Be "Good Enough"? User Effectiveness As a Function of Retrieval Accuracy , 2005 .