Stamps (2% of outliers version#01)

A data set representing forged (photocopied or scanned+printed) stamps and genuine (ink) stamps. The features are based on color and printing properties of the stamps. Forged stamps are considered to be outliers. The stamps data set is not taken from the UCI repository, but was used in [1].

References:

[1] B. Micenkova, J. van Beusekom, and F. Shafait. Stamp verification for automated document authentication. In 5th Int. Workshop on Computational Forensics, 2012.

Download all data set variants used (371.2 kB).

Normalized, without duplicates
Not normalized, without duplicates

Normalized, without duplicates

This version contains 9 attributes, 315 objects, 6 outliers (1.90%)

Download raw algorithm results (2.7 MB) Download raw algorithm evaluation table (39.5 kB)

Best Parameters

The following table contains the best (overall and per-method) results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.

Algorithm	k	P@n	Adj. P@n	AP	Adj. AP	Max-F1	Adj. MF1	ROC AUC
KNN	1	0.16667	0.15049	0.17779	0.16183	0.32000	0.30680	0.94067
KNNW	1	0.16667	0.15049	0.21119	0.19587	0.34783	0.33516	0.95685
LOF	3	0.16667	0.15049	0.18341	0.16755	0.25000	0.23544	0.91154
LOF	4	0.16667	0.15049	0.18497	0.16915	0.26667	0.25243	0.92449
LOF	5	0.16667	0.15049	0.24617	0.23153	0.28571	0.27184	0.90129
LOF	11	0.16667	0.15049	0.25654	0.24211	0.28571	0.27184	0.91208
SimplifiedLOF	4	0.16667	0.15049	0.11052	0.09325	0.20000	0.18447	0.83819
SimplifiedLOF	11	0.16667	0.15049	0.25089	0.23635	0.28571	0.27184	0.90723
SimplifiedLOF	12	0.16667	0.15049	0.16861	0.15247	0.25000	0.23544	0.90831
LoOP	7	0.16667	0.15049	0.08924	0.07156	0.16667	0.15049	0.85275
LoOP	14	0.16667	0.15049	0.11961	0.10252	0.21277	0.19748	0.89590
LoOP	31	0.16667	0.15049	0.23874	0.22395	0.28571	0.27184	0.88134
LDOF	11	0.16667	0.15049	0.10081	0.08335	0.18182	0.16593	0.87540
LDOF	27	0.16667	0.15049	0.11227	0.09503	0.22642	0.21139	0.90453
LDOF	75	0.16667	0.15049	0.13979	0.12309	0.25000	0.23544	0.84628
ODIN	12	0.06667	0.04854	0.09340	0.07580	0.20000	0.18447	0.86597
ODIN	16	0.16667	0.15049	0.09459	0.07701	0.18182	0.16593	0.82551
FastABOD	3	0.16667	0.15049	0.11520	0.09802	0.21739	0.20220	0.89213
FastABOD	4	0.16667	0.15049	0.14877	0.13224	0.22857	0.21359	0.92449
FastABOD	12	0.00000	-0.01942	0.13916	0.12245	0.27586	0.26180	0.92988
FastABOD	14	0.00000	-0.01942	0.14166	0.12499	0.25806	0.24366	0.93150
KDEOS	19	0.16667	0.15049	0.07818	0.06028	0.16667	0.15049	0.83549
KDEOS	49	0.00000	-0.01942	0.10682	0.08948	0.27027	0.25610	0.88889
KDEOS	63	0.00000	-0.01942	0.11692	0.09978	0.26667	0.25243	0.88997
LDF	3	0.16667	0.15049	0.23565	0.22081	0.38710	0.37520	0.95307
INFLO	4	0.16667	0.15049	0.06372	0.04554	0.16667	0.15049	0.75081
INFLO	14	0.16667	0.15049	0.23789	0.22309	0.28571	0.27184	0.88403
INFLO	15	0.16667	0.15049	0.15970	0.14338	0.25000	0.23544	0.89051
COF	6	0.16667	0.15049	0.19893	0.18337	0.25000	0.23544	0.92880
COF	9	0.16667	0.15049	0.22666	0.21165	0.28571	0.27184	0.94121
COF	11	0.16667	0.15049	0.30427	0.29076	0.30769	0.29425	0.93581
COF	12	0.16667	0.15049	0.30629	0.29282	0.30769	0.29425	0.93689

Plots

Precision at n

Adjusted precision at n

Average precision

Adjusted average precision

Maximum F1 score

Adjusted maximum F1 score

ROC AUC

Diversity

A: KNN, B: KNNW, C: LOF, D: SimplifiedLOF, E: LoOP, F: LDOF
G: ODIN, H: KDEOS, I: COF, J: FastABOD, K: LDF, L: INFLO

Not normalized, without duplicates