Search results
Results From The WOW.Com Content Network
require ('strict'); local count; local hcount;--[[-----< G E T _ C O U N T >-----returns a counter value according to the keyword extracted from the table; maintains count and hcount. Inserts a space character ahead of <count> or <hcount> so that, in the case of negative indexes, the negation operator is not mistaken for part of the wikitable ...
This template makes it possible, in many cases, to have an incrementing row indexer/counter in a table so that adding or removing rows automatically adjusts the numbering of subsequent rows. This template will become obsolete if and when MediaWiki supports automatically adding row numbers via WikiTable syntax.
In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).
k being the number of rows or the number of columns, whichever is less. C suffers from the disadvantage that it does not reach a maximum of 1.0, notably the highest it can reach in a 2 × 2 table is 0.707 . It can reach values closer to 1.0 in contingency tables with more categories; for example, it can reach a maximum of 0.870 in a 4 × 4 table.
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
A database table can be thought of as consisting of rows and columns. [1] Each row in a table represents a set of related data, and every row in the table has the same structure. For example, in a table that represents companies, each row might represent a single company. Columns might represent things like company name, address, etc.
Therefore, the worst-case number of comparisons needed to select the second smallest is + ⌈ ⌉, the same number that would be obtained by holding a single-elimination tournament with a run-off tournament among the values that lost to the smallest value. However, the expected number of comparisons of a randomized selection algorithm can ...
The hash table entries are mappings from the value of the (composite) join attribute to the remaining attributes of that row (whichever ones are needed). Once the hash table is built, scan the other relation (the probe side). For each row of the probe relation, find the relevant rows from the build relation by looking in the hash table.