Signal detection theory: valuable tools for evaluating inductive learning
Proceedings of the sixth international workshop on Machine learning
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
C4.5: programs for machine learning
C4.5: programs for machine learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Discretization: An Enabling Technique
Data Mining and Knowledge Discovery
Learning Decision Trees Using the Area Under the ROC Curve
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Toward Bayesian Classifiers with Accurate Probabilities
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Tree Induction for Probability-Based Ranking
Machine Learning
Journal of Artificial Intelligence Research
Preface: Special issue on "ROC Analysis in Pattern Recognition"
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Exploiting AUC for optimal linear combinations of dichotomizers
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Extracting Actionable Knowledge from Decision Trees
IEEE Transactions on Knowledge and Data Engineering
Metadata and its impact on libraries: Book Reviews
Journal of the American Society for Information Science and Technology
IEEE Transactions on Knowledge and Data Engineering
Rule Extraction from Support Vector Machines: A Sequential Covering Approach
IEEE Transactions on Knowledge and Data Engineering
Domain-Driven, Actionable Knowledge Discovery
IEEE Intelligent Systems
Maximizing the area under the ROC curve by pairwise feature combination
Pattern Recognition
An adaptive anomaly detector for worm detection
SYSML'07 Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques
Detection of stock price movements using chance discovery and genetic programming
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Instance weighting versus threshold adjusting for cost-sensitive classification
Knowledge and Information Systems
When Overlapping Unexpectedly Alters the Class Imbalance Effects
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Selection of Experts for the Design of Multiple Biometric Systems
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
An Improved Model Selection Heuristic for AUC
ECML '07 Proceedings of the 18th European conference on Machine Learning
An experimental comparison of performance measures for classification
Pattern Recognition Letters
Incorporating domain knowledge into data mining classifiers: An application in indirect lending
Decision Support Systems
Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction
Advanced Web and NetworkTechnologies, and Applications
A New Performance Evaluation Method for Two-Class Imbalanced Problems
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Designing multiple biometric systems: Measures of ensemble effectiveness
Engineering Applications of Artificial Intelligence
On the use of surrounding neighbors for synthetic over-sampling of the minority class
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
An efficient algorithm for learning to rank from preference graphs
Machine Learning
On modeling software defect repair time
Empirical Software Engineering
Efficient AUC Maximization with Regularized Least-Squares
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data
Neural Processing Letters
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Toward breast cancer survivability prediction models through improving training space
Expert Systems with Applications: An International Journal
Data & Knowledge Engineering
A novel measure for evaluating classifiers
Expert Systems with Applications: An International Journal
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Information Sciences: an International Journal
On the ability of complexity metrics to predict fault-prone classes in object-oriented systems
Journal of Systems and Software
Expert Systems with Applications: An International Journal
Combining SVM classifiers using genetic fuzzy systems based on AUC for gene expression data analysis
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Index driven combination of multiple biometric experts for AUC maximisation
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns
Artificial Intelligence in Medicine
Defect prediction from static code features: current results, limitations, new approaches
Automated Software Engineering
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Dynamic linear combination of two-class classifiers
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Combination of dichotomizers for maximizing the partial area under the ROC curve
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
IEEE Transactions on Evolutionary Computation
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
A dynamic over-sampling procedure based on sensitivity for multi-class problems
Pattern Recognition
Partial AUC maximization in a linear combination of dichotomizers
Pattern Recognition
A comparative analysis of methods for probability estimation tree
WSEAS Transactions on Computers
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
Selection strategies for pAUC-based combination of dichotomizers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
AUC-Based linear combination of dichotomizers
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Analysis of feature rankings for classification
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Expert Systems with Applications: An International Journal
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems
Information Sciences: an International Journal
Learning and evaluation in the presence of class hierarchies: application to text categorization
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Feature selection for MAUC-oriented classification systems
Neurocomputing
Including spatial interdependence in customer acquisition models: A cross-category comparison
Expert Systems with Applications: An International Journal
Masquerade attacks based on user's profile
Journal of Systems and Software
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
International Journal of Approximate Reasoning
Building a generic graph-based descriptor set for use in drug discovery
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
Acquaintance or partner?: predicting partnership in online and location-based social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines
Expert Systems with Applications: An International Journal
Spatial Recurrences for Pedestrian Classification
Journal of Mathematical Imaging and Vision
Texture classification using kernel-based techniques
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Classification and outlier detection based on topic based pattern synthesis
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Computer Methods and Programs in Biomedicine
Information Sciences: an International Journal
Multi-label learning under feature extraction budgets
Pattern Recognition Letters
Comprehensible classification models: a position paper
ACM SIGKDD Explorations Newsletter
Sharpened graph ensemble for semi-supervised learning
Intelligent Data Analysis
Hi-index | 0.01 |
The area under the ROC (Receiver Operating Characteristics) curve, or simply AUC, has been traditionally used in medical diagnosis since the 1970s. It has recently been proposed as an alternative single-number measure for evaluating the predictive ability of learning algorithms. However, no formal arguments were given as to why AUC should be preferred over accuracy. In this paper, we establish formal criteria for comparing two different measures for learning algorithms and we show theoretically and empirically that AUC is a better measure (defined precisely) than accuracy. We then reevaluate well-established claims in machine learning based on accuracy using AUC and obtain interesting and surprising new results. For example, it has been well-established and accepted that Naive Bayes and decision trees are very similar in predictive accuracy. We show, however, that Naive Bayes is significantly better than decision trees in AUC. The conclusions drawn in this paper may make a significant impact on machine learning and data mining applications.