Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Despite the considerable number of available systems that recognize automatically mentions of genes/proteins and chemicals in… Expand
  • figure 1
  • table I
  • figure 2
  • table II
  • table 2
Is this relevant?
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
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
2012
Highly Cited
2012
An end-to-end real-time scene text localization and recognition method is presented. The real-time performance is achieved by… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used… Expand
  • table 1
  • figure 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in… Expand
  • table I
  • figure 4
  • figure 5
  • table II
  • table III
Is this relevant?
Highly Cited
2006
Highly Cited
2006
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of… Expand
  • table 1
  • table 3
  • table 4
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Discriminative reranking is one method for constructing high-performance statistical parsers (Collins, 2000). A discriminative… Expand
  • table 1
  • table 2
  • table 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
This article considers approaches which rerank the output of an existing probabilistic parser. The base parser produces a set of… Expand
Is this relevant?
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
  • figure 1
  • table 1
  • table 2
Is this relevant?
Highly Cited
2003
Highly Cited
2003
  • G. Forman
  • J. Mach. Learn. Res.
  • 2003
  • Corpus ID: 809191
Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?