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F1 score

Known as: F-score, F1 measure, F score 
In statistical analysis of binary classification, the F1 score (also F-score or F-measure) is a measure of a test's accuracy. It considers both the… Expand
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Papers overview

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Highly Cited
2020
Highly Cited
2020
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used… Expand
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Review
2014
Review
2014
List of Tables List of Figures Preface About the Authors Chapter 1: Introduction Observational Studies History and Development… Expand
Review
2013
Review
2013
This article reviews the state-of-the-art in overlapping community detection algorithms, quality measures, and benchmarks. A… Expand
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Highly Cited
2013
Highly Cited
2013
In this paper, we describe how we created two state-of-the-art SVM classifiers, one to detect the sentiment of messages such as… Expand
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Review
2011
Review
2011
1. Introduction 2. Concepts, theories and models, and types of measurements 3. The development of a measurement instrument 4… Expand
Highly Cited
2006
Highly Cited
2006
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of… Expand
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Highly Cited
2005
Highly Cited
2005
Discriminative reranking is one method for constructing high-performance statistical parsers (Collins, 2000). A discriminative… Expand
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Highly Cited
2005
Highly Cited
2005
We address the problems of 1/ assessing the confidence of the standard point estimates, precision, recall and F-score, and 2… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper we propose two ways to deal with the imbalanced data classification problem using random forest. One is based on… Expand
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Highly Cited
2003
Highly Cited
2003
Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and… Expand
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