Explainable analytics: understanding causes, correcting errors, and achieving increasingly perfect accuracy from the nature of distinguishable patterns

HIGHLIGHTS

• who: Hao-Ting Pai from the Bachelor Program of Big Data Applications in Business, National Pingtung University have published the research: Explainable analytics: understanding causes, correcting errors, and achieving increasingly perfect accuracy from the nature of distinguishable patterns, in the Journal: Scientific Reports Scientific Reports of 31/08/2022
• what: In Fig 2, the authors provide a visualization of the TC method. The authors propose a method of transparent classification, named TC, which not only strives to achieve accuracy but also clarifies the cause of inaccuracy. To understand the results of the analytics, the authors . . .
  

   

  

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