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Confusion matrix
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11	The many faces of ROC analysis in machine learning Peter A. Flach University of Bristol, UK www.cs.bris.ac.uk/~flach/ Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2004-06-23 13:36:34 Statistical classification Bioinformatics Data mining Receiver operating characteristic Precision and recall Sensitivity and specificity Roc Republic of China Confusion matrix Statistics Biostatistics Machine learning
12	general_known_unknown_multiclass.dvi Add to Reading List Source URL: titania.ctie.monash.edu.au Language: English - Date: 2013-10-10 19:10:39 Artificial intelligence Naive Bayes classifier Confusion matrix Transmission Control Protocol Statistics Machine learning Statistical classification
13	Machine Learning Attacks Against the Asirra CAPTCHA Philippe Golle Palo Alto Research Center Palo Alto, CA 94304, USA Add to Reading List Source URL: crypto.stanford.edu Language: English - Date: 2008-08-05 17:59:45 Machine learning Parts of speech CAPTCHA Classifier Support vector machine Confusion matrix Boosting methods for object categorization Statistics Statistical classification Artificial intelligence
14	perClass 4.5 cheat-sheet Subsets! Detection! Add to Reading List Source URL: perclass.com Language: English - Date: 2015-03-17 10:16:32 Receiver operating characteristic Naive Bayes classifier Support vector machine Random forest Confusion matrix Cross-validation Classifier Linear discriminant analysis Statistics Statistical classification Machine learning
15	MOS and the 2x2 Confusion Matrix Klaus Knüpffer, Stefan Metzner* INTRODUCTION Institut für Meteorologie, Freie Universität Berlin, Germany Add to Reading List Source URL: cawcr.gov.au Language: English - Date: 2011-12-22 13:26:44** Time series analysis Statistical forecasting Data analysis Forecasting
16	Model Evaluation Dr. Saed Sayad University of Toronto[removed]removed] Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-06-20 14:07:34 Gain Positive predictive value Accuracy and precision Negative predictive value Predictive value of tests Confusion matrix Receiver operating characteristic Accuracy paradox Statistics Biostatistics Sensitivity and specificity
17	2010 International Conference on Pattern Recognition The balanced accuracy and its posterior distribution Kay H. Brodersen∗† , Cheng Soon Ong∗ , Klaas E. Stephan† and Joachim M. Buhmann∗ ∗ Department † Ins Add to Reading List Source URL: www.ong-home.my Language: English - Date: 2013-12-12 02:50:01 Statistical theory Biostatistics Psychometrics Cross-validation Receiver operating characteristic Accuracy and precision Binary classification Confusion matrix Support vector machine Statistics Machine learning Statistical classification
18	On the Feasibility of Predicting News Popularity at Cold Start Ioannis Arapakis, B. Barla Cambazoglu, and Mounia Lalmas Yahoo Labs, Barcelona, Spain {arapakis,barla,mounia}-inc.com Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-12-01 06:28:50 Statistical classification Recommender system Twitter Cross-validation Prediction Confusion matrix Support vector machine Naive Bayes classifier Wikipedia Statistics World Wide Web Machine learning
19	MOS and the 2x2 Confusion Matrix Klaus Knüpffer, Stefan Metzner* INTRODUCTION Institut für Meteorologie, Freie Universität Berlin, Germany Add to Reading List Source URL: www.cawcr.gov.au Language: English - Date: 2011-12-22 13:26:44** Time series analysis Statistical forecasting Data analysis Forecasting
20	Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests Add to Reading List Source URL: recherche.ign.fr Language: English - Date: 2014-04-08 09:02:36 Geography LIDAR Remote sensing Topography Geographic information system Random forest Secon Photogrammetry Confusion matrix Cartography Earth Planetary science

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