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Keyword

classifier evaluation

Description: Classifier evaluation is the assessment of a classification model's performance, reliability, or practical utility in machine learning and data analysis.
OpenAlex ID: keywords/classifier-evaluation
An introduction to ROC analysis
2005 · Tom Fawcett · Pattern Recognition Letters · 21,776
pROC: an open-source package for R and S+ to analyze and compare ROC curves
2011 · Xavier Robin, Natacha Turck, et al. · BMC Bioinformatics · 13,629
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Machine learning in automated text categorization
2002 · Fabrizio Sebastiani · ACM Computing Surveys · 7,929
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A systematic analysis of performance measures for classification tasks
2009 · Marina Sokolova, Guy Lapalme · Information Processing & Management · 7,089
The relationship between Precision-Recall and ROC curves
2006 · Jesse Davis, Mark Goadrich · International Conference on Machine Learning · 6,518
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The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 · Takaya Saito, Marc Rehmsmeier · PLoS ONE · 5,158
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ROCR: visualizing classifier performance in R
2005 · T. Sing, O. Sander, et al. · Computer applications in the biosciences · 3,202
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The Statistical Evaluation of Medical Tests for Classification and Prediction
2003 · Margaret Sullivan Pepe · 2,206
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
2006 · Marina Sokolova, Nathalie Japkowicz, et al. · Lecture notes in computer science · 1,966
Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation
2009 · J.D. Rodriguez, A. Perez, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1,880
The Balanced Accuracy and Its Posterior Distribution
2010 · Kay Henning Brodersen, Cheng Soon Ong, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 1,792
ESC
2015 · Karol J. Piczak · ACM International Conference on Multimedia (ACM MM) · 1,400
Performance evaluation of texture measures with classification based on Kullback discrimination of distributions
2002 · T. Ojala, M. Pietikainen, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 1,393
An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons
2008 · Salvador García, Francisco Herrera · 1,277
Data Mining for Imbalanced Datasets: An Overview
2009 · Nitesh V. Chawla · Springer eBooks · 1,174
Reliable Accuracy Estimates from k-Fold Cross Validation
2019 · Tzu-Tsung Wong, Po-Yang Yeh · IEEE Transactions on Knowledge and Data Engineering · 1,061
Measuring classifier performance: a coherent alternative to the area under the ROC curve
2009 · David J. Hand · Machine Learning · 1,003
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Data Classification: Algorithms and Applications
2014 · Charų C. Aggarwal · 880
Construction and evaluation of a robust multifeature speech/music discriminator
2002 · E. Scheirer, M. Slaney · IEEE International Conference on Acoustics Speech and Signal Processing · 873
Support Vector Machines for Pattern Classification
2005 · Abe, Shigeo 1947- · Springer eBooks · 863
Learning and evaluating classifiers under sample selection bias
2004 · Bianca Zadrozny · 800
A support vector method for multivariate performance measures
2005 · Thorsten Joachims · International Conference on Machine Learning · 788
Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions
1997 · Foster Provost, Tom Fawcett · 724
Evaluating Learning Algorithms: A Classification Perspective
2011 · Nathalie Japkowicz, Mohak Shah · 675
Ex Machina
2017 · Ellery Wulczyn, Nithum Thain, et al. · International World Wide Web Conference (WWW) · 636
Works count: 2,717
Citation count: 130,700
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