Qirina attempts to ascertain what sites are about based on an analysis of the text content on the front page. Did we get this one right? What do you think? If the niche has been incorrectly identified, openml.org's performance can probably be substantially improved by on-site SEO.
Here are some keywords which we've determined lie within the same circle of relevance as machine learning.
The site openml.org's front page was last accessed by Qirina at 14:06 UTC on March 15, 2015.
The source was comprised of 21224 characters,
of which 18192 are code,
leaving an organic character count of 3032. The total word count on the openml.org home page is 494.
We filtered out 0 numbers, 190 common words,
and 2 words shorter than three characters in length, leaving an impact word count of 279.
The size of the lexicon (number of unique words) is only 179.
We extracted twenty top keywords, leaving 11.17% above the threshold.
The number of phrases above the threshold was 30.
We found 1 significant keyword appearing in the domain name openml.org.
Source Character Count 21224 Code Character Count 18192 Organic Character Count 3032 Filtered Numbers 0 Filtered Words (Common) 190 Filtered Words (Short) 2 Total Word Count 494 Impact Paragraph Count 499 Impact Word Count 279 Impact Lexicon Size 179