rtexttools.com valuation and analysis

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Title RTextTools: a machine learning library for text classification -
Description Menu RTextTools: a machine learning library for text classification Blog About the Project Install How to Cite Documentation Classifying Breast Cancer as
Keywords r, rtexttools, machine learning, supervised learning, social science, political science, automatic classification, text classification
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WebSite rtexttools faviconrtexttools.com
Host IP 199.34.228.100
Location United States
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rtexttools.com Valuation
US$1,771,010
Last updated: 2023-05-14 11:05:22

rtexttools.com has Semrush global rank of 5,976,424. rtexttools.com has an estimated worth of US$ 1,771,010, based on its estimated Ads revenue. rtexttools.com receives approximately 204,348 unique visitors each day. Its web server is located in United States, with IP address 199.34.228.100. According to SiteAdvisor, rtexttools.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,771,010
Daily Ads Revenue US$1,635
Monthly Ads Revenue US$49,044
Yearly Ads Revenue US$588,521
Daily Unique Visitors 13,624
Note: All traffic and earnings values are estimates.
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rtexttools.com. MX 3600 MX Record: 0 smtp.secureserver.net.
HtmlToTextCheckTime:2023-05-14 11:05:22
Menu RTextTools: a machine learning library for text classification Blog About the Project Install How to Cite Documentation Classifying Breast Cancer as Benign or Malignant Using RTextTools 2/11/2012 30 Comments RTextTools has largely been used for topic classification in the social sciences. However, recent discussions with researchers at various universities have demonstrated that the package can be applied to a host of problems in the natural sciences as well. One such application is using text classification to identify breast cancer masses as benign or malignant. Using the Wisconsin Diagnostic Breast Cancer Dataset from UC Irvine, we wrote a script that trains eight classifiers on characteristics such as clump thickness, uniformity of cell size, uniformity of cell shape, marginal adhesion, single epithelial cell size, bare nuclei, bland chromatin, normal nucleoli, and mitoses. When run on the data, the classifiers were able to achieve up to 96% recall accuracy on a randomly
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rtexttools.com Whois Information
Domain Name: RTEXTTOOLS.COM
Registry Domain ID: 1660443793_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2021-06-08T17:57:31Z
Creation Date: 2011-06-08T01:33:20Z
Registry Expiry Date: 2022-06-08T01:33:20Z
Registrar: GoDaddy.com, LLC
Registrar IANA ID: 146
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Registrar Abuse Contact Phone: 480-624-2505
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