data set's Usage Examples:

measure of variability, based on dividing a data set into quartiles.

Quartiles divide a rank-ordered data set into four equal parts.

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.

request to send (RTS), clear to send (CTS), data terminal ready (DTR), and data set ready (DSR).

For a data set, it may be thought of as "the middle" value.

threshold or the number of expected clusters) depend on the individual data set and intended use of the results.

detect anomalies in an unlabeled test data set under the assumption that the majority of the instances in the data set are normal by looking for instances.

overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further.

the results of a statistical analysis will generalize to an independent data set.

several kinds of mean in mathematics, especially in statistics: For a data set, the arithmetic mean, also known as average or arithmetic average, is a.

middle number between the smallest number (minimum) and the median of the data set.

number of resamples with replacement, of the observed data set (and of equal size to the observed data set).

In addition, MetaCyc is used as a reference data set for computationally predicting the metabolic network of organisms from.

number of observations in the data set.

Median the middle value that separates the higher half from the lower half of the data set.

the well-known Iris flower data set, the result often fails to separate the three Iris species contained in the data set.

minimization of an appropriate error function defined with respect to a training data set.

The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point.

Given a data set X = { x 1 , … , x n } {\displaystyle X=\{x_{1},\ldots ,x_{n}\}} , the arithmetic.

Some measures that are commonly used to describe a data set are measures of central tendency and measures of variability or dispersion.

Synonyms:

collection; accounting data; accumulation; aggregation; metadata; information; raw data; assemblage;

Antonyms:

fauna; flora; prosecution; defense; decrease;