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文章基本信息

  • 标题:A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms
  • 本地全文:下载
  • 作者:Alexei Botchkarev
  • 期刊名称:Interdisciplinary Journal of Information, Knowledge, and Management
  • 印刷版ISSN:1555-1229
  • 电子版ISSN:1555-1237
  • 出版年度:2019
  • 卷号:14
  • 页码:45-76
  • DOI:10.28945/4184
  • 出版社:Informing Science Institute
  • 摘要:A fundamental right to education has long been recognized in constitutions around the world.1 In South Africa, the right to education is outlined in the founding provisions of the constitution which specifically acknowledge “the need to redress the results of past racially discriminatory laws and practices” as a reason for this right.2 The Supreme Court of the United States has analyzed the right to education in this country on various occasions, yet the Court has consistently avoided rendering a definitive decision articulating whether a positive right to education is guaranteed by the Constitution itself.
  • 关键词:performance metrics; error measures; accuracy measures; distance; similarity; dissimilarity; properties; typology; classification; machine learning; regression; forecasting; prognostics; prediction; evaluation; estimation; modeling
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