Here's how NCBI.NLM.NIH.GOV makes money* and how much!

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NCBI . NLM . NIH . GOV {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Ncbi.nlm.nih.gov Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Social Networks
  10. External Links
  11. Analytics And Tracking
  12. Libraries
  13. Hosting Providers
  14. CDN Services

We began analyzing https://pmc.ncbi.nlm.nih.gov/articles/PMC6941312/, but it redirected us to https://pmc.ncbi.nlm.nih.gov/articles/PMC6941312/. The analysis below is for the second page.

Title[redir]:
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation - PMC
Description:
To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating. Despite being a crucial issue in machine learning, no ...

Matching Content Categories {📚}

  • Education
  • TV
  • Science

Content Management System {📝}

What CMS is ncbi.nlm.nih.gov built with?

Custom-built

No common CMS systems were detected on Ncbi.nlm.nih.gov, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of ncbi.nlm.nih.gov audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

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How Does Ncbi.nlm.nih.gov Make Money? {💸}

We can't tell how the site generates income.

The purpose of some websites isn't monetary gain; they're meant to inform, educate, or foster collaboration. Everyone has unique reasons for building websites. This could be an example. Ncbi.nlm.nih.gov might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {🔍}

doi, score, mcc, accuracy, google, scholar, dataset, data, case, true, negatives, positives, correlation, classification, instances, coefficient, positive, negative, confusion, imbalanced, pubmed, prediction, false, correctly, learning, classifier, matthews, performance, binary, machine, results, representing, pmc, rate, article, measures, additional, measure, matrix, class, file, cases, free, information, interval, patients, pie, chart, amounts, ranking,

Topics {✒️}

receiver operating characteristic org/web/packages/plsgenomics/index high-dimensional class-imbalanced data support vector machine precision-recall-gain curves support vector machines microarray quality control pmc beta search interacting enhancer–promoter pairs predict enhancer-promoters interactions k-category correlation coefficient precision–recall curve overcame microarray-based predictive models approximate rank-order clustering macro/micro averaging procedure high-dimensional genomic data maqc-ii project test inter-rater reliability multi-task deep learning micro/macro averaged f1 supplementary information 12864_2019_6413_moesm1_esm micro-averaged evaluation measures seqc/maqc-iii consortium eng adv technol designing multi-label classifiers real-world model performance” pearson correlation coefficient precision-recall curves low/high grade tumor negatively imbalanced dataset article ‘broad patterns matthews correlation coefficient enhancer–promoter interactions previously cited case supplementary materials included supplementary materials 12864_2019_6413_moesm1_esm pair precision/recall positively imbalanced dataset evaluating text categorization 20th international conference comput biol chem gene expression data precision-recall plot informa eng appl k-nearest neighbors [6] k-nearest neighbors 58 k-nearest neighbors gene expression revealed colon tissue released 28th international conference

Questions {❓}

  • A crucial issue naturally arises, concerning the outcome of a classification process: how to evaluate the classifier performance?
  • Given a clinical feature dataset of patients with cancer traits [1, 2], which patients will develop the tumor, and which will not?
  • How to evaluate performance of prediction methods?
  • When Is “Nearest Neighbor” Meaningful?

Social Networks {👍}(6)

External Links {🔗}(184)

Analytics and Tracking {📊}

  • Google Analytics
  • Google Analytics 4
  • Google Tag Manager

Libraries {📚}

  • jQuery
  • jQuery module (jquery-3.6.0)
  • Lazy.js
  • Zoom.js

Emails and Hosting {✉️}

Mail Servers:

  • nihcesxway.hub.nih.gov
  • nihcesxway2.hub.nih.gov
  • nihcesxway3.hub.nih.gov
  • nihcesxway4.hub.nih.gov
  • nihcesxway5.hub.nih.gov

Name Servers:

  • dns1-ncbi.ncbi.nlm.nih.gov
  • dns2-ncbi.ncbi.nlm.nih.gov
  • lhcns1.nlm.nih.gov
  • lhcns2.nlm.nih.gov

CDN Services {📦}

  • Ncbi

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