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.
A data frame with 1372 rows and 5 variables. The data frame contains the following columns:
Variance of Wavelet Transformed image.
Skewness of Wavelet Transformed image.
Kurtosis of Wavelet Transformed image.
Entropy of image.
A factor with two levels,
1, which refer to
whether the banknote was a forgery or real.
The data were taken from the UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/banknote+authentication.
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