Conformal isotonic separation for binary classification

作者：

Highlights：

• Transductive and Inductive conformal isotonic separation techniques are proposed.

• A new Non-Conformity measure is introduced to find uniqueness of data point.

• Performance of proposed techniques is evaluated on various data sets.

• Statistical and time complexity analysis of the proposed work are done.

摘要

•Transductive and Inductive conformal isotonic separation techniques are proposed.•A new Non-Conformity measure is introduced to find uniqueness of data point.•Performance of proposed techniques is evaluated on various data sets.•Statistical and time complexity analysis of the proposed work are done.

论文关键词：Isotonic separation,Conformal prediction,Transductive conformal isotonic separation,Inductive conformal isotonic separation,Non-conformity measure

论文评审过程：Received 15 April 2020, Revised 19 December 2021, Accepted 28 December 2021, Available online 5 January 2022, Version of Record 10 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116483