ionosphere: Johns Hopkins University Ionosphere Database

In KlausVigo/kknn: Weighted k-Nearest Neighbors

Description

This radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total transmitted power on the order of 6.4 kilowatts. See the paper for more details. The targets were free electrons in the ionosphere. "Good" radar returns are those showing evidence of some type of structure in the ionosphere. "Bad" returns are those that do not; their signals pass through the ionosphere.

Received signals were processed using an autocorrelation function whose arguments are the time of a pulse and the pulse number. There were 17 pulse numbers for the Goose Bay system. Instances in this database are described by 2 attributes per pulse number, corresponding to the complex values returned by the function resulting from the complex electromagnetic signal.

Usage

data(ionosphere)

Format

A data frame with 351 observations on the following 35 variables. The first 34 continuous covariables are used for the prediction. The 35th attribute is either g ("good") or b ("bad") according to the definition summarized above. This is a binary classification task.

Source

Vince Sigillito ([e-mail]), Space Physics Group, Applied Physics Laboratory, Johns Hopkins University, Johns Hopkins Road, Laurel, MD 20723

The data have been taken from the UCI Machine Learning Database Repository
http://www.ics.uci.edu/~mlearn/MLRepository.html
and were converted to R format by [e-mail].

Examples

data(ionosphere)

KlausVigo/kknn documentation built on June 4, 2021, 2:42 p.m.