On the order equivalence relation of binary association measures

Paradowski, Mariusz

doi:10.1515/amcs-2015-0047

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Koyejo et al described the equations as the ratio of two polynomials with one degree in four variables: TP , FP , FN , and TN [ 35 ]. Paradowski formed a function combining joint probability, marginal probabilities, and the mean of marginal probabilities for binary class variables ( P and N ) [ 36 ]. These forms might also be used in classification performance evaluation.…”

Section: Case Study: Performance Evaluation In Android Mobile-malware...mentioning

confidence: 99%

PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics

2022

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Although few performance evaluation instruments have been used conventionally in different machine learning-based classification problem domains, there are numerous ones defined in the literature. This study reviews and describes performance instruments via formally defined novel concepts and clarifies the terminology. The study first highlights the issues in performance evaluation via a survey of 78 mobile-malware classification studies and reviews terminology. Based on three research questions, it proposes novel concepts to identify characteristics, similarities, and differences of instruments that are categorized into ‘performance measures’ and ‘performance metrics’ in the classification context for the first time. The concepts reflecting the intrinsic properties of instruments such as canonical form, geometry, duality, complementation, dependency, and leveling, aim to reveal similarities and differences of numerous instruments, such as redundancy and ground-truth versus prediction focuses. As an application of knowledge representation, we introduced a new exploratory table called PToPI (Periodic Table of Performance Instruments) for 29 measures and 28 metrics (69 instruments including variant and parametric ones). Visualizing proposed concepts, PToPI provides a new relational structure for the instruments including graphical, probabilistic, and entropic ones to see their properties and dependencies all in one place. Applications of the exploratory table in six examples from different domains in the literature have shown that PToPI aids overall instrument analysis and selection of the proper performance metrics according to the specific requirements of a classification problem. We expect that the proposed concepts and PToPI will help researchers comprehend and use the instruments and follow a systematic approach to classification performance evaluation and publication.

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Section: Case Study: Performance Evaluation In Android Mobile-malware...mentioning

confidence: 99%

PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics

2022

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“…Binary vectors provide meaningful representations of data and allow for easier comparisons amongst two or more objects or patterns [44]. Similarity/dissimilarity can therefore be measured and used for classification and clustering of data.…”

Section: Preliminary Workmentioning

confidence: 99%

A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles

et al. 2021

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Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Electric vehicles (IoEV) as well as their hybrid forms provide an ideal means of supporting sustainability within an ITS. The control of charging/discharging of EV is still a challenge, despite the tremendous research progress to date in the field. In this paper, the use of charging station data and binary vectorization are proposed in order to provide timely insights on the dynamic behavior of charging processes. A Bag-of-Power-States model has been created for similarity measurement of charging stations within given time periods. The results of experimentations using synthetic data have shown that the proposed Bag-of-Power-States model is computationally feasible and provides useful results for optimizing the scheduling of power supply to charging stations that may be located across a wide range of distances, over the same period of time.

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Categorical laterality indices in fMRI: a parallel with classic similarity indices

Seghier

2019

Brain Struct Funct

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On the order equivalence relation of binary association measures

Cited by 4 publications

References 26 publications

PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics

PToPI: A Comprehensive Review, Analysis, and Knowledge Representation of Binary Classification Performance Measures/Metrics

A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles

Categorical laterality indices in fMRI: a parallel with classic similarity indices

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