banknotes: Banknote authentication data.

Description Usage Value Source Examples

Description

Data extracted from images taken from genuine and forged banknotes, digitized into 400 x 400 arrays of pixels, and then summarised into four continuously valued summary statistics. For each banknote, the data set records whether the banknote was genuine or forged, along with the four numerical summaries of the image.

Usage

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Value

A data frame with 1372 rows and 5 variables. The data frame contains the following columns:

variance

Variance of Wavelet Transformed image.

skewness

Skewness of Wavelet Transformed image.

kurtosis

Kurtosis of Wavelet Transformed image.

entropy

Entropy of image.

class

A factor with two levels, 0 and 1, which refer to whether the banknote was a forgery or real.

Source

The data were taken from the UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/banknote+authentication.

Examples

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nclSLR documentation built on May 2, 2019, 5:17 p.m.