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Internet Explorer 5.0 for the Macintosh, shipped in March 2000, was the first browser to have full (better than 99 percent) CSS 1 support, [35] surpassing Opera, which had been the leader since its introduction of CSS support fifteen months earlier. Other browsers followed soon afterward, and many of them additionally implemented parts of CSS 2.
See the Width section of Help:Table.To summarize, max-width is the preferred way to limit widths on tables. It works on divs too. Note though that in both tables and divs there needs to be spaces in long lines of text or wikitext.
Instead, the solution (to both) as autowidened tables, with column-spacers (and no column "width="), will avoid both extremes, of too-wide percent-width columns or too-narrow pixel-width columns, and will allow a table to auto-adjust to the user's screen size, or various text-size zoom views.
This template displays the list of footnotes at the end of an article and provides additional formatting and organizing options. After hitting "Apply changes" and turning back to VE read mode, you will not see the references list. After hitting "Publish page" and turning back to normal read mode the reference list will reappear with the changes applied, see T53146. Template parameters [Edit ...
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Add a calculator widget to the page. Like a spreadsheet you can refer to other widgets in the same page. Template parameters [Edit template data] Parameter Description Type Status id id The id for this input. This is used to reference it in formula of other calculator templates String required type type What type of input box Suggested values plain number text radio checkbox passthru hidden ...
One set, the bootstrap sample, is the data chosen to be "in-the-bag" by sampling with replacement. The out-of-bag set is all data not chosen in the sampling process. When this process is repeated, such as when building a random forest, many bootstrap samples and OOB sets are created. The OOB sets can be aggregated into one dataset, but each ...
We repeat this process to obtain the second resample X 2 * and compute the second bootstrap mean μ 2 *. If we repeat this 100 times, then we have μ 1 *, μ 2 *, ..., μ 100 *. This represents an empirical bootstrap distribution of sample mean. From this empirical distribution, one can derive a bootstrap confidence interval for the purpose of ...