The Nationwide Forest Imputation Study (NaFIS): Challenges, results and recommendations from the western United States Matt Gregory 1, Emilie Grossmann. - ppt download
The area under the precision‐recall curve as a performance metric for rare binary events - Sofaer - 2019 - Methods in Ecology and Evolution - Wiley Online Library
Ecological indicator values reveal missing predictors of species distributions | Scientific Reports
PDF) Evaluating presence-absence models in ecology: The need to account for prevalence
PDF) PresenceAbsence: An R Package for Presence Absence Analysis
PDF) PresenceAbsence: An R Package for Presence Absence Analysis
Accuracy level and Kappa value derived from the analysis of error... | Download Scientific Diagram
Remote Sensing | Free Full-Text | Unmanned Aerial Vehicle (UAV)-Based Mapping of Acacia saligna Invasion in the Mediterranean Coast
Precision and recall - Wikipedia
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) - ALLOUCHE - 2006 - Journal of Applied Ecology - Wiley Online Library
Evaluating presence‐only species distribution models with discrimination accuracy is uninformative for many applications - Warren - 2020 - Journal of Biogeography - Wiley Online Library
Interpretation of Kappa Values. The kappa statistic is frequently used… | by Yingting Sherry Chen | Towards Data Science
Testing Three Species Distribution Modelling Strategies to Define Fish Assemblage Reference Conditions for Stream Bioassessment and Related Applications | PLOS ONE
Kappa and Rater Accuracy: Paradigms and Parameters - Anthony J. Conger, 2017
![Suggested ranges for the Kappa Coefficient [2]. | Download Table](https://www.researchgate.net/publication/325603545/figure/tbl2/AS:669212804653076@1536564174670/Suggested-ranges-for-the-Kappa-Coefficient-2.png "Suggested ranges for the Kappa Coefficient [2]. | Download Table")
Suggested ranges for the Kappa Coefficient [2]. | Download Table
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification - ScienceDirect
Using Machine Learning Classification Methods to Detect the Presence of Heart Disease
Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information | Scientific Reports
Error matrix and user's, producer's and overall accuracy, and Kappa... | Download Table
Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification - ScienceDirect
Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) - ALLOUCHE - 2006 - Journal of Applied Ecology - Wiley Online Library
Accuracy of referrals for visual assessment in a stroke population | Eye
![PDF] A coefficient of agreement as a measure of thematic classification accuracy. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/61e5a857fee21a5b3f9100582cf87f60741bd448/2-Table1-1.png "PDF] A coefficient of agreement as a measure of thematic classification accuracy. | Semantic Scholar")
PDF] A coefficient of agreement as a measure of thematic classification accuracy. | Semantic Scholar
![PDF] A coefficient of agreement as a measure of thematic classification accuracy. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/61e5a857fee21a5b3f9100582cf87f60741bd448/2-Table2-1.png "PDF] A coefficient of agreement as a measure of thematic classification accuracy. | Semantic Scholar")
PDF] A coefficient of agreement as a measure of thematic classification accuracy. | Semantic Scholar
The Nationwide Forest Imputation Study (NaFIS): Challenges, results and recommendations from the western United States Matt Gregory 1, Emilie Grossmann. - ppt download
A Comparison of Three Indexes of Agreement Between Observers: Proportion of Agreement, G-Index, and Kappa | Semantic Scholar
