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banknote-authentication

banknote-authentication

active ARFF Publicly available Visibility: public Uploaded 21-05-2015 by Rafael Gomes Mantovani
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  • OpenML-CC18 OpenML100 study_123 study_135 study_14 study_34 study_50 study_52 study_7 study_98 study_99 uci study_225 study_253 study_258
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Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe) Source: [UCI](https://archive.ics.uci.edu/ml/datasets/banknote+authentication) - 2012 Please cite: [UCI](https://archive.ics.uci.edu/ml/citation_policy.html) Dataset 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. ### Attribute Information V1. variance of Wavelet Transformed image (continuous) V2. skewness of Wavelet Transformed image (continuous) V3. curtosis of Wavelet Transformed image (continuous) V4. entropy of image (continuous) Class (target). Presumably 1 for genuine and 2 for forged

5 features

Class (target)nominal2 unique values
0 missing
V1numeric1338 unique values
0 missing
V2numeric1256 unique values
0 missing
V3numeric1270 unique values
0 missing
V4numeric1156 unique values
0 missing

19 properties

1372
Number of instances (rows) of the dataset.
5
Number of attributes (columns) of the dataset.
2
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
4
Number of numeric attributes.
1
Number of nominal attributes.
762
Number of instances belonging to the most frequent class.
44.46
Percentage of instances belonging to the least frequent class.
610
Number of instances belonging to the least frequent class.
1
Number of binary attributes.
20
Percentage of binary attributes.
0
Percentage of instances having missing values.
1
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
80
Percentage of numeric attributes.
55.54
Percentage of instances belonging to the most frequent class.
20
Percentage of nominal attributes.

29 tasks

91415 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
43620 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Class
0 runs - estimation_procedure: 10% Holdout set - evaluation_measure: area_under_roc_curve - target_feature: Class
0 runs - estimation_procedure: Custom Holdout - evaluation_measure: area_under_roc_curve - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: area_under_roc_curve - target_feature: Class
0 runs - estimation_procedure: 33% Holdout set - target_feature: Class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: Class
45 runs - estimation_procedure: 10-fold Learning Curve - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - target_feature: Class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
1297 runs - target_feature: Class
1297 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
0 runs - target_feature: Class
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