banknote-authentication
type: Item
instance of: data set
OpenML dataset ID: 1462
dataset version identifier: 1
description: Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe) \NSource: [UCI](https://archive.ics.uci.edu/ml/datasets/banknote+authentication) - 2012 \NPlease cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) \N\NDataset about distinguishing genuine and forged banknotes. Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. A Wavelet Transform tool was used to extract features from these images.\N\N### Attribute Information \N\NV1. variance of Wavelet Transformed image (continuous) \NV2. skewness of Wavelet Transformed image (continuous) \NV3. curtosis of Wavelet Transformed image (continuous) \NV4. entropy of image (continuous) \N\NClass (target). Presumably 1 for genuine and 2 for forged
author name string: Volker Lohweg
upload date: 2015-05-21T00:00:00Z
full work available at URL: banknote-authentication.arff
default target attribute: Class
OpenML semantic tag: Chemistry
OpenML semantic tag: Life Science
number of binary features: 1
number of classes: 2
number of features: 5
number of instances: 1372
number of instances with missing values: 0
number of missing values: 0
number of numeric features: 4
number of symbolic features: 1
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 1462