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Paper Citation Record · LEDGER

Absolute Evaluation Measures for Machine Learning: A Survey

As of 22 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 3 inbound Pith citation observations for arXiv:2507.03392.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.03392 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:17:33.787187Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:05:08.730791Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T02:07:33.292807Z

Reference resolution

77 of 77 outbound references displayed

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External citation measurements

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Outbound references

Observation c3def8fc-95c5-4a01-99d6-218862e45c2f · outbound

This paper cites A survey on the four families of performance measures.

Absolute Evaluation Measures for Machine Learning: A Survey A survey on the four families of performance measures

Reference 1

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Observation 6dfa9825-c209-4da6-81b7-09046adfcdd6 · outbound

This paper cites Strategy, choice of performance measures, and performance.

Absolute Evaluation Measures for Machine Learning: A Survey Strategy, choice of performance measures, and performance

Reference 2

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Observation 0925ae76-3bd1-4e29-8e2f-8552d29ea929 · outbound

This paper cites Multiple perspectives of performance measures.

Absolute Evaluation Measures for Machine Learning: A Survey Multiple perspectives of performance measures

Reference 3

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Observation 0387bd9f-4a60-45cf-a7cb-a5ae5587ed26 · outbound

This paper cites An overview of frequently used performance measures.

Absolute Evaluation Measures for Machine Learning: A Survey An overview of frequently used performance measures

Reference 4

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Observation b4a488c0-6855-4c61-bb00-ea5e244f7333 · outbound

This paper cites Learning how to Active Learn: A Deep Reinforcement Learning Approach.

Absolute Evaluation Measures for Machine Learning: A Survey Learning how to Active Learn: A Deep Reinforcement Learning Approach

Reference 5

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Observation 891e9ca7-8706-4522-8106-f595006fc159 · outbound

This paper cites Balancing performance measures.

Absolute Evaluation Measures for Machine Learning: A Survey Balancing performance measures

Reference 6

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Observation 8cb2a237-0e82-48fd-a0ee-ec0413124a36 · outbound

This paper cites Algorithms for reinforcement learning.

Absolute Evaluation Measures for Machine Learning: A Survey Algorithms for reinforcement learning

Reference 7

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Observation 1b1f590b-c228-4576-8f01-95761ca8bdc9 · outbound

This paper cites Evaluation Metrics and Statistical Tests for Machine Learning.

Absolute Evaluation Measures for Machine Learning: A Survey Evaluation Metrics and Statistical Tests for Machine Learning

Reference 8

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Observation 79c65747-e22a-4b50-82e8-8fa9b702a293 · outbound

This paper cites A Review of Evaluation Metrics in Machine Learning Algorithms.

Absolute Evaluation Measures for Machine Learning: A Survey A Review of Evaluation Metrics in Machine Learning Algorithms

Reference 9

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This paper cites Performance evaluation in machine learning.

Absolute Evaluation Measures for Machine Learning: A Survey Performance evaluation in machine learning

Reference 10

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Observation 9af8c399-28a6-4378-a6ce-8aeebabf4de5 · outbound

This paper cites Constructing new and better evaluation measures for machine learning.

Absolute Evaluation Measures for Machine Learning: A Survey Constructing new and better evaluation measures for machine learning

Reference 11

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Observation d61fc997-8a54-478c-9166-d09d0673f324 · outbound

This paper cites A systematic analysis of performance measures for classification tasks.

Absolute Evaluation Measures for Machine Learning: A Survey A systematic analysis of performance measures for classification tasks

Reference 12

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Observation 631707ac-c7c5-430c-ab21-108319a8bb36 · outbound

This paper cites A review on evaluation metrics for data classification evaluations.

Absolute Evaluation Measures for Machine Learning: A Survey A review on evaluation metrics for data classification evaluations

Reference 13

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Absolute Evaluation Measures for Machine Learning: A Survey Classification model evaluation metrics

Reference 14

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Observation 8fd4f658-49f6-4d6f-ad3e-e987da145540 · outbound

This paper cites An experimental comparison of performance measures for classification.

Absolute Evaluation Measures for Machine Learning: A Survey An experimental comparison of performance measures for classification

Reference 15

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Observation 14bab962-9294-41dc-bb4d-b2906a4be02b · outbound

This paper cites Performance evaluation in machine learning: the good, the bad, the ugly, and the way forward.

Absolute Evaluation Measures for Machine Learning: A Survey Performance evaluation in machine learning: the good, the bad, the ugly, and the way forward

Reference 16

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Observation 43eb36d9-799d-4985-953a-edc8cb8378e2 · outbound

This paper cites A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.

Absolute Evaluation Measures for Machine Learning: A Survey A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

Reference 17

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Observation bed7283d-bec1-4319-a9a9-f1ff21e48fc7 · outbound

This paper cites Evaluation Metrics for Unsupervised Learning Algorithms.

Absolute Evaluation Measures for Machine Learning: A Survey Evaluation Metrics for Unsupervised Learning Algorithms

Reference 18

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Observation 6f5a59cf-b370-40ac-9293-a8d2bd45531f · outbound

This paper cites Comparison of evaluation metrics in classification applications with imbalanced datasets.

Absolute Evaluation Measures for Machine Learning: A Survey Comparison of evaluation metrics in classification applications with imbalanced datasets

Reference 19

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Observation 6b0288fa-549d-4b39-af2b-5b130fdabaeb · outbound

This paper cites Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data.

Absolute Evaluation Measures for Machine Learning: A Survey Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data

Reference 20

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Observation 7f6a1fe7-6a6b-4245-a931-a1910a5cb91b · outbound

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Absolute Evaluation Measures for Machine Learning: A Survey Survey of Imbalanced Data Methodologies

Reference 21

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Absolute Evaluation Measures for Machine Learning: A Survey Learning from imbalanced data: open challenges and future directions

Reference 22

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Observation 41b5230d-f873-41c9-a9cc-c5aca5c47adb · outbound

This paper cites A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics.

Absolute Evaluation Measures for Machine Learning: A Survey A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics

Reference 23

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Absolute Evaluation Measures for Machine Learning: A Survey A Unified Study of Machine Learning Explanation Evaluation Metrics

Reference 24

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Absolute Evaluation Measures for Machine Learning: A Survey Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics

Reference 25

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Absolute Evaluation Measures for Machine Learning: A Survey Towards a guideline for evaluation metrics in medical image segmentation

Reference 26

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Absolute Evaluation Measures for Machine Learning: A Survey A survey on machine reading comprehension—tasks, evaluation metrics and benchmark datasets

Reference 27

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Absolute Evaluation Measures for Machine Learning: A Survey Evaluation metrics and evaluation

Reference 28

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Absolute Evaluation Measures for Machine Learning: A Survey How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation

Reference 29

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Absolute Evaluation Measures for Machine Learning: A Survey Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer

Reference 30

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Absolute Evaluation Measures for Machine Learning: A Survey A survey of evaluation metrics used for nlg systems

Reference 31

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Absolute Evaluation Measures for Machine Learning: A Survey Performance measures, consistency, and power for artificial neural network models

Reference 32

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Absolute Evaluation Measures for Machine Learning: A Survey A survey of accuracy evaluation metrics of recommendation tasks

Reference 33

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Absolute Evaluation Measures for Machine Learning: A Survey Gil, Julio Sahuquillo, and Ana Pont

Reference 34

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Absolute Evaluation Measures for Machine Learning: A Survey Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics

Reference 35

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Observation 94ca5fc6-0f3f-4b7e-921b-58f21095fd32 · outbound

This paper cites Performance evaluation metrics and approaches for target tracking: A survey.

Absolute Evaluation Measures for Machine Learning: A Survey Performance evaluation metrics and approaches for target tracking: A survey

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.316546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.662119Z digest=sha256:ad60b71897660dd4ef48039f00ca0d2e48b74de8bf38f5094fe511c9742336c1

Observation 2a008856-2ca1-428c-99ef-a26dbb1491b7 · outbound

This paper cites Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences.

Absolute Evaluation Measures for Machine Learning: A Survey Error Metrics and Performance Fitness Indicators for Artificial Intelligence and Machine Learning in Engineering and Sciences

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.307686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.665070Z digest=sha256:e07bad468e65e05b3f1d49292b8f79fb876b170bf2acb853e10bd68cbd16306d

Observation 84676d0c-2f89-4943-b202-eb1b17bd44f2 · outbound

This paper cites an unresolved cited work.

Absolute Evaluation Measures for Machine Learning: A Survey Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:34.298584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.668041Z digest=sha256:372d4833c73892dd3c7d0001324513e589236a2282a1a35e0c2083b52709bc30

Observation b50cc95e-744e-4abf-964a-8a98a880d7ed · outbound

This paper cites Deep Learning.

Absolute Evaluation Measures for Machine Learning: A Survey Deep Learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.289634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.671023Z digest=sha256:8ca2a2337ad4e701301d91dcd84b77909880dc2da446d7248d8800023f5c9372

Observation 8a3bbfe3-9b8a-46cd-9849-f655c41008b6 · outbound

This paper cites Friedman.

Absolute Evaluation Measures for Machine Learning: A Survey Friedman

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.280517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.673960Z digest=sha256:f0ec8409aaa6d280e6f976c74ce8be74f0a717ef6b2c474e135fe237ad5126a0

Observation 26e6656d-817e-47bc-b880-f9ab32b762a3 · outbound

This paper cites Statistics for Engineering and Information Science.

Absolute Evaluation Measures for Machine Learning: A Survey Statistics for Engineering and Information Science

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.271925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.676687Z digest=sha256:6d29cd5c1d5400bfdc6a22072a61a5666771088ee0f88c74390f293c65318a0c

Observation 954acf20-a6b0-4c9e-acb6-3987b15cfaac · outbound

This paper cites Cohen, Robert E.

Absolute Evaluation Measures for Machine Learning: A Survey Cohen, Robert E

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.262378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.680809Z digest=sha256:84a89481448db1202c1f335338c67e8971abef9c59866a3d28da303c5dba51ad

Observation 60b15a84-5410-493d-a440-457492f9173a · outbound

This paper cites Generalization bounds for the area under the ROC curve.

Absolute Evaluation Measures for Machine Learning: A Survey Generalization bounds for the area under the ROC curve

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.253373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.683263Z digest=sha256:467cbc1cb244993d812cfc2de4317c25a161133857a34ae189d2e1de9f536446

Observation 05dadefa-caed-409b-bfd1-11ac2695e81d · outbound

This paper cites Evaluating Learning Algorithms: A Classification Perspective.

Absolute Evaluation Measures for Machine Learning: A Survey Evaluating Learning Algorithms: A Classification Perspective

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.243204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.685992Z digest=sha256:907a0c4302509c2db815c75e6305c067fdacce1c2f16eb5b1c40da7aa5000e88

Observation 14aad1a0-1403-4bf0-8234-237692b5782c · outbound

This paper cites On the confusion matrix in credit scoring and its analytical properties.

Absolute Evaluation Measures for Machine Learning: A Survey On the confusion matrix in credit scoring and its analytical properties

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.233506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.688475Z digest=sha256:499f4725645d0a021a7f3154821c6b00ef3c819bf27fc1297b19d9fc88d07fce

Observation f0eab6ec-f010-4de5-8dc7-611128881430 · outbound

This paper cites Warrens, and Giuseppe Jurman.

Absolute Evaluation Measures for Machine Learning: A Survey Warrens, and Giuseppe Jurman

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.224169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.691512Z digest=sha256:32929f97196892b33456fb81e82fcef2c05c59b94caf08ebbb932af6244cd7b2

Observation 6faf1f7d-7cd5-4c50-b2f9-b36cd08536f9 · outbound

This paper cites an unresolved cited work.

Absolute Evaluation Measures for Machine Learning: A Survey Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:34.214752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.694343Z digest=sha256:b3e67c4327143675ed660224609e035a55011499fec7f1791b3d85f3f27822f9

Observation 898ef7eb-20fa-4223-9e32-01e2bc1bdc40 · outbound

This paper cites Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.

Absolute Evaluation Measures for Machine Learning: A Survey Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.206137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.697126Z digest=sha256:732cb293fe9a4bb876779eeb409d7594fc0dc5badd11568bb51e8fa9ae4a1e4d

Observation 4eb299d7-83bf-46ac-a21f-0d1ee81c3482 · outbound

This paper cites Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation.

Absolute Evaluation Measures for Machine Learning: A Survey Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T20:17:33.699859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:17:33.699859Z digest=sha256:0cb0d60afe26866ba198f96bb54b4c595ea50ce748d997f57b647130dddf1936

Observation a500c620-741c-412c-9694-7ac795be81dc · outbound

This paper cites Precision and recall for regression.

Absolute Evaluation Measures for Machine Learning: A Survey Precision and recall for regression

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.197360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.703105Z digest=sha256:e8ee7e6e750fb4344be1272c298c73b0eae65e2a525243dad66d73290bbde99d

Observation 1898246b-03fc-4b61-93bc-866a71f253f9 · outbound

This paper cites The DET Curve in Assessment of Decision Task Performance.

Absolute Evaluation Measures for Machine Learning: A Survey The DET Curve in Assessment of Decision Task Performance

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.188803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.705597Z digest=sha256:f0cae850c5d57089da34cbcc2c0bd6cf09a6eea3de21c9257f87dc0643d67b93

Observation fe38f677-67fb-47e0-adeb-29b664faf478 · outbound

This paper cites Optimized precision - a new measure for classifier performance evaluation.

Absolute Evaluation Measures for Machine Learning: A Survey Optimized precision - a new measure for classifier performance evaluation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.179608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.708498Z digest=sha256:bae9f50da0a8de7eba7723c5a65a9212e8e7b207b419a11a66ecbe5eb837a5c8

Observation c2114cf5-3eaf-4828-87ba-f9c8591390f4 · outbound

This paper cites Further thoughts on precision.

Absolute Evaluation Measures for Machine Learning: A Survey Further thoughts on precision

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.171018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.711137Z digest=sha256:5a881883115f344e94bcaa7702c142f054b707f9a1bf03eb8a242f9da90ccd09

Observation e01c9311-ed59-4808-9fed-d7c9ed84230e · outbound

This paper cites Evaluation Measures for Models Assessment over Imbalanced Data Sets.

Absolute Evaluation Measures for Machine Learning: A Survey Evaluation Measures for Models Assessment over Imbalanced Data Sets

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.160636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.714089Z digest=sha256:56d28a477e7f3edcd27323196e37ba83ed0f4dd1296cd1fca27d5de340d6a23e

Observation 73945353-4d25-41c9-aebd-cd7673666f41 · outbound

This paper cites The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation.

Absolute Evaluation Measures for Machine Learning: A Survey The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.150293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.717049Z digest=sha256:1dc9e59167e077ca45eaecd5ef9ab992ecd5fe4d033f9665660c9e1532f7b3a4

Observation b983c4de-cf3e-4e40-bd6a-8b7320d4fde3 · outbound

This paper cites Matthews.

Absolute Evaluation Measures for Machine Learning: A Survey Matthews

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.140027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.719798Z digest=sha256:f705b81d70de66c87b94ec839f64487920e751c3de5960dfc7291798978f1d20

Observation c390868b-3634-4206-9c17-d6ad63ee1fbe · outbound

This paper cites The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation.

Absolute Evaluation Measures for Machine Learning: A Survey The advantages of the matthews correlation coefficient (mcc) over f1 score and accuracy in binary classification evaluation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.130595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.722585Z digest=sha256:321642ac1aa3a69dd16230f1397e12e192ed856776751d4df079e287b44a2d4c

Observation f9f37255-1df2-4947-af57-6d2288467232 · outbound

This paper cites Wissenschaftliche Beobachtung: eine Einführung.

Absolute Evaluation Measures for Machine Learning: A Survey Wissenschaftliche Beobachtung: eine Einführung

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.121371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.725701Z digest=sha256:7832ef191eae26d0a18779c0c5ce0ef79e54ee87910ff2fc97ce84a024a119a6

Observation 404a09a6-bdcc-42b6-8e2d-4cd6b0333664 · outbound

This paper cites The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets.

Absolute Evaluation Measures for Machine Learning: A Survey The precision-recall plot is more informative than the roc plot when evaluating binary classifiers on imbalanced datasets

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.112251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.729334Z digest=sha256:5e8e679bd3d696f5f32e1d5dd93de26dbb2dfe27330a98238dacaf9bf2c9031b

Observation 13b6923f-a5c3-49c2-881c-cf706e6782f7 · outbound

This paper cites Hand and Christoforos Anagnostopoulos.

Absolute Evaluation Measures for Machine Learning: A Survey Hand and Christoforos Anagnostopoulos

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.102449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.732198Z digest=sha256:2d8468306d17837b5493234e368783ed494e05ec3d87fc68ae857c0315eef85f

Observation f9cb5d3e-4997-4e27-b6c9-3d436e554123 · outbound

This paper cites Fletcher, Suzanne W.

Absolute Evaluation Measures for Machine Learning: A Survey Fletcher, Suzanne W

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.093407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.735095Z digest=sha256:d32740c2f0ee806b96ccfccdfc122e748f481c77cf5c50c11ce03cf77aa8230e

Observation 5eeca88b-b11d-440f-8469-7c978361b175 · outbound

This paper cites Hsu and Ronald Field.

Absolute Evaluation Measures for Machine Learning: A Survey Hsu and Ronald Field

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.738100Z digest=sha256:8618b569978110706cda794fed7214bdd7b5ebdf6e329779ef80429b02866803

Observation acff47f7-6a08-4a52-90ff-9cf76bb92bf1 · outbound

This paper cites Comparison of Classification Accuracy using Cohen’s Weighted Kappa.

Absolute Evaluation Measures for Machine Learning: A Survey Comparison of Classification Accuracy using Cohen’s Weighted Kappa

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.076147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.741745Z digest=sha256:4a3807edda8b2174bb1f97e5e5597a6ea42742ba005d7fd52b7b12b16e06711d

Observation 321c4a7d-2cc5-46be-9e75-3f7a5a5669d9 · outbound

This paper cites Rama Rao and B.

Absolute Evaluation Measures for Machine Learning: A Survey Rama Rao and B

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.067355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.744369Z digest=sha256:128fd6c82f105cf69d50d50c570798b2830b4b64203908ec8cf0465256a644c0

Observation 0987e458-ed56-4141-a7ab-19fb2f62237e · outbound

This paper cites Objective criteria for the evaluation of clustering methods.

Absolute Evaluation Measures for Machine Learning: A Survey Objective criteria for the evaluation of clustering methods

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.057744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.747575Z digest=sha256:f4228f5ad26dfa1152f2b7e81e7d7c193889a3cb7d0c2e91ed3131d00e39d213

Observation be71221c-75bc-46ab-afcb-90e3d7d75829 · outbound

This paper cites Comparing Clusterings: An Overview.

Absolute Evaluation Measures for Machine Learning: A Survey Comparing Clusterings: An Overview

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.047722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.750867Z digest=sha256:6cf0e15c5f11aa533e688fa8ea7d71ba97b081d6ff75417f536c5005063e58c3

Observation 0b96fb34-5c7f-4c0d-a41c-ba72f7853fef · outbound

This paper cites Comparing Partitions.

Absolute Evaluation Measures for Machine Learning: A Survey Comparing Partitions

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.038527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.754088Z digest=sha256:cc427f1b59477a6d4e9db4ef73ca3ff0d4cc809e47c73fcd2e607524aa3374d5

Observation 02b6f0cc-d5de-4cde-b110-8a22ce96acbc · outbound

This paper cites A Method for Comparing Two Hierarchical Clusterings.

Absolute Evaluation Measures for Machine Learning: A Survey A Method for Comparing Two Hierarchical Clusterings

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.028613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.757237Z digest=sha256:52e9d538e4c28b43f1ff9a355290dd9144533b0046b42bbe5f4c7e6e83bb7af5

Observation a638ccc8-188f-4462-8ade-406c7ed0fa3b · outbound

This paper cites Comparing Clusterings — An Information Based Distance.

Absolute Evaluation Measures for Machine Learning: A Survey Comparing Clusterings — An Information Based Distance

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.019166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.760408Z digest=sha256:570bde5659d666bf373b9169b2fb82288606bdcca63a6cbb301621f838830344

Observation 8de62e79-b7bd-46b9-aaf4-b87168d89976 · outbound

This paper cites Recommender Systems: Techniques, Applications, and Challenges.

Absolute Evaluation Measures for Machine Learning: A Survey Recommender Systems: Techniques, Applications, and Challenges

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:34.009170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.763506Z digest=sha256:3ac6fff36f2610c6803b43439c75be9728ca080bb0e0c925b3c5b3c5ebef3676

Observation 24a483a6-1647-4975-b31e-eb0e5b7c365f · outbound

This paper cites Stamp: Short-term attention/memory priority model for session-based recommendation.

Absolute Evaluation Measures for Machine Learning: A Survey Stamp: Short-term attention/memory priority model for session-based recommendation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.999466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.766615Z digest=sha256:c06a583348d08182023902110cbcb9b74bc89a878bf4817ab8305252d77c5b95

Observation ec009df4-0c6f-45cd-8ab3-3c32a9dd0863 · outbound

This paper cites Learning to Rank for Information Retrieval.

Absolute Evaluation Measures for Machine Learning: A Survey Learning to Rank for Information Retrieval

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.988918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.769710Z digest=sha256:fbc552d8cb855721e05a3bf670e0cdac3a690bdb0c065f748a62c924280bfbe7

Observation adbaa8d1-b943-4d05-b716-6bddb714429e · outbound

This paper cites Ranking chemical structures for drug discovery: A new machine learning approach.

Absolute Evaluation Measures for Machine Learning: A Survey Ranking chemical structures for drug discovery: A new machine learning approach

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.978051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c3f819ea-c7d2-4628-bd27-1501116668b4 · outbound

This paper cites Precision at n.

Absolute Evaluation Measures for Machine Learning: A Survey Precision at n

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.968342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 19212cc5-773e-4c07-9985-dde7a8ddded5 · outbound

This paper cites Jaccard/tanimoto similarity test and estimation methods for biological presence-absence data.

Absolute Evaluation Measures for Machine Learning: A Survey Jaccard/tanimoto similarity test and estimation methods for biological presence-absence data

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.958394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.780390Z digest=sha256:7ea1c9b72749098fce43f59ac614812c9f6ab195313537fc9bbd0fae91903d6a

Observation aa24d817-6b50-4cb2-98c6-38a52ff020c7 · outbound

This paper cites Metrics for graph comparison: a practitioner’s guide.

Absolute Evaluation Measures for Machine Learning: A Survey Metrics for graph comparison: a practitioner’s guide

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:17:33.948556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5f6ef2f4-054c-43f7-abd5-5e106934fcbb · outbound

This paper cites an unresolved cited work.

Absolute Evaluation Measures for Machine Learning: A Survey Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:17:33.938695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:17:33.787187Z digest=sha256:e109543935d63e6979a1f6a402b73d9f8bc50dae960dfc05768635f4871a6b7d

Pith citing papers

Observation 0e1c37ee-3a9f-49c5-852d-5e9dfe205872 · inbound

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems cites this paper.

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems Absolute Evaluation Measures for Machine Learning: A Survey

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:26:09.497119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 11420234-4cee-415c-8151-257085a12880 · inbound

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems cites this paper.

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems Absolute Evaluation Measures for Machine Learning: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:15:09.610836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 76c7d314-f787-4bf5-903c-8c0438e44c77 · inbound

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting cites this paper.

Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting Absolute Evaluation Measures for Machine Learning: A Survey

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:33.294769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T16:11:36.483820Z digest=sha256:00e52d46d46d1d5c4d95d8a2544208bc4d76177632b433aac0a6957f3afd46bd