Parkinson (75% of outliers)

The data set consists of medical data distinguishing healthy people from those suffering from Parkinson's disease. The latter were labeled as outliers.

Download all data set variants used (278.6 kB). You can also access the original data. (parkinsons.data)

Normalized, without duplicates
Not normalized, without duplicates

Normalized, without duplicates

This version contains 22 attributes, 195 objects, 147 outliers (75.38%)

Download raw algorithm results (1.7 MB) Download raw algorithm evaluation table (48.6 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	2	0.78231	0.11565	0.84405	0.36645	0.88554	0.53502	0.64753
KNN	4	0.80272	0.19855	0.84770	0.38126	0.87087	0.47541	0.65235
KNN	5	0.81633	0.25383	0.83854	0.34406	0.86982	0.47115	0.63350
KNNW	5	0.80272	0.19855	0.84630	0.37560	0.88554	0.53502	0.64116
KNNW	8	0.79592	0.17092	0.84491	0.36993	0.87952	0.51054	0.64399
LOF	5	0.80272	0.19855	0.80510	0.20822	0.86136	0.43676	0.59609
LOF	6	0.79592	0.17092	0.81725	0.25757	0.86136	0.43676	0.61196
LOF	9	0.78231	0.11565	0.82770	0.30005	0.85965	0.42982	0.60190
LOF	35	0.75510	0.00510	0.76297	0.03706	0.88288	0.52421	0.46358
SimplifiedLOF	11	0.78912	0.14328	0.81646	0.25437	0.87425	0.48915	0.60346
SimplifiedLOF	13	0.79592	0.17092	0.81627	0.25360	0.87425	0.48915	0.60643
SimplifiedLOF	14	0.78231	0.11565	0.81527	0.24954	0.87500	0.49219	0.60728
LoOP	1	0.74011	-0.05581	0.75856	0.01917	0.85965	0.42982	0.46995
LoOP	8	0.78836	0.14021	0.78601	0.13068	0.85965	0.42982	0.56739
LoOP	13	0.78776	0.13776	0.80012	0.18798	0.85965	0.42982	0.58312
LoOP	16	0.78033	0.10761	0.80049	0.18950	0.85965	0.42982	0.57866
LDOF	12	0.77551	0.08801	0.76867	0.06023	0.86905	0.46801	0.51559
LDOF	14	0.78231	0.11565	0.77895	0.10200	0.86905	0.46801	0.54053
LDOF	16	0.76871	0.06037	0.78536	0.12802	0.86647	0.45753	0.55315
ODIN	2	0.75737	0.01431	0.76558	0.04766	0.86905	0.46801	0.52388
ODIN	3	0.77041	0.06728	0.76367	0.03990	0.85965	0.42982	0.52608
ODIN	5	0.74694	-0.02806	0.76712	0.05391	0.86391	0.44712	0.51651
FastABOD	6	0.78912	0.14328	0.85654	0.41720	0.88822	0.54588	0.65505
FastABOD	12	0.78912	0.14328	0.87138	0.47748	0.88822	0.54588	0.66908
FastABOD	15	0.78912	0.14328	0.87031	0.47312	0.88822	0.54588	0.66993
FastABOD	94	0.79592	0.17092	0.85798	0.42303	0.88288	0.52421	0.64881
KDEOS	5	0.76871	0.06037	0.77293	0.07753	0.87240	0.48164	0.52622
KDEOS	10	0.76190	0.03274	0.82518	0.28979	0.86826	0.46482	0.57809
KDEOS	28	0.78231	0.11565	0.79111	0.15140	0.86826	0.46482	0.58673
KDEOS	29	0.78912	0.14328	0.78859	0.14116	0.86826	0.46482	0.58574
LDF	6	0.78231	0.11565	0.84285	0.36156	0.86217	0.44007	0.60218
LDF	24	0.75510	0.00510	0.70562	-0.19593	0.87952	0.51054	0.40179
LDF	94	0.79592	0.17092	0.75458	0.00299	0.86217	0.44007	0.49008
INFLO	5	0.75850	0.01892	0.77137	0.07119	0.86647	0.45753	0.56590
INFLO	6	0.77017	0.06630	0.77972	0.10511	0.86136	0.43676	0.59198
INFLO	8	0.77467	0.08460	0.78094	0.11007	0.85965	0.42982	0.58248
INFLO	10	0.76871	0.06037	0.79462	0.16563	0.85965	0.42982	0.58390
COF	7	0.80952	0.22619	0.81052	0.23024	0.87164	0.47854	0.60920
COF	11	0.77551	0.08801	0.81908	0.26500	0.88146	0.51843	0.58688
COF	98	0.79592	0.17092	0.86046	0.43312	0.85965	0.42982	0.64966
COF	100	0.80272	0.19855	0.86193	0.43910	0.85965	0.42982	0.64753

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