Hepatitis (10% of outliers version#07)

A data set for prediction whether a patient suffering from hepatitis will die (outliers) or survive (inliers).

Download all data set variants used (21.2 kB). You can also access the original data. (hepatitis.data)

Normalized, without duplicates
Not normalized, without duplicates

Normalized, without duplicates

This version contains 19 attributes, 74 objects, 7 outliers (9.46%)

Download raw algorithm results (469.8 kB) Download raw algorithm evaluation table (31.0 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	15	0.42857	0.36887	0.29056	0.21644	0.44444	0.38640	0.81023
KNN	43	0.28571	0.21109	0.32060	0.24961	0.42105	0.36057	0.80384
KNN	44	0.28571	0.21109	0.29925	0.22604	0.42105	0.36057	0.81876
KNN	57	0.42857	0.36887	0.31483	0.24324	0.46154	0.40528	0.77612
KNNW	18	0.14286	0.05330	0.21732	0.13555	0.40000	0.33731	0.76546
KNNW	25	0.28571	0.21109	0.23343	0.15334	0.40000	0.33731	0.78038
KNNW	49	0.28571	0.21109	0.26101	0.18381	0.40000	0.33731	0.79531
KNNW	57	0.28571	0.21109	0.26457	0.18773	0.40000	0.33731	0.79318
LOF	22	0.42857	0.36887	0.37660	0.31147	0.42857	0.36887	0.79104
LOF	24	0.42857	0.36887	0.40266	0.34025	0.42857	0.36887	0.80597
LOF	25	0.42857	0.36887	0.36599	0.29975	0.50000	0.44776	0.81237
LOF	45	0.28571	0.21109	0.31032	0.23827	0.41667	0.35572	0.84009
SimplifiedLOF	26	0.28571	0.21109	0.19693	0.11302	0.28571	0.21109	0.67804
SimplifiedLOF	35	0.14286	0.05330	0.30056	0.22748	0.30435	0.23167	0.73987
SimplifiedLOF	54	0.28571	0.21109	0.26150	0.18435	0.42105	0.36057	0.78891
SimplifiedLOF	64	0.28571	0.21109	0.29252	0.21860	0.40000	0.33731	0.79318
LoOP	24	0.28571	0.21109	0.20017	0.11661	0.30769	0.23536	0.67804
LoOP	42	0.14286	0.05330	0.31752	0.24622	0.33333	0.26368	0.75906
LoOP	53	0.28571	0.21109	0.26563	0.18890	0.40000	0.33731	0.79744
LoOP	54	0.28571	0.21109	0.26475	0.18794	0.42105	0.36057	0.79531
LDOF	34	0.28571	0.21109	0.19478	0.11065	0.30769	0.23536	0.71642
LDOF	58	0.28571	0.21109	0.25042	0.17210	0.40000	0.33731	0.77399
LDOF	64	0.28571	0.21109	0.29051	0.21639	0.38095	0.31628	0.79318
ODIN	29	0.42857	0.36887	0.30463	0.23198	0.42857	0.36887	0.78252
ODIN	41	0.42857	0.36887	0.29410	0.22035	0.46154	0.40528	0.79424
ODIN	42	0.42857	0.36887	0.33760	0.26840	0.46154	0.40528	0.79531
FastABOD	3	0.14286	0.05330	0.18938	0.10469	0.33333	0.26368	0.71002
FastABOD	38	0.14286	0.05330	0.22863	0.14804	0.41667	0.35572	0.78891
FastABOD	54	0.14286	0.05330	0.25571	0.17795	0.40000	0.33731	0.81023
FastABOD	59	0.14286	0.05330	0.24403	0.16505	0.40000	0.33731	0.81237
KDEOS	18	0.28571	0.21109	0.14605	0.05683	0.28571	0.21109	0.49467
KDEOS	19	0.28571	0.21109	0.19070	0.10614	0.36364	0.29715	0.51812
KDEOS	72	0.14286	0.05330	0.21848	0.13683	0.33333	0.26368	0.77186
LDF	3	0.28571	0.21109	0.13516	0.04481	0.30769	0.23536	0.40085
LDF	17	0.28571	0.21109	0.44955	0.39204	0.44444	0.38640	0.77612
LDF	42	0.28571	0.21109	0.28205	0.20704	0.45455	0.39756	0.84435
LDF	49	0.14286	0.05330	0.25946	0.18209	0.46154	0.40528	0.79744
INFLO	24	0.28571	0.21109	0.29036	0.21622	0.46154	0.40528	0.79318
INFLO	26	0.42857	0.36887	0.33070	0.26078	0.50000	0.44776	0.78785
COF	29	0.42857	0.36887	0.26097	0.18376	0.43478	0.37573	0.76119
COF	55	0.14286	0.05330	0.28384	0.20902	0.43478	0.37573	0.79957
COF	67	0.42857	0.36887	0.31365	0.24194	0.53333	0.48458	0.74840
COF	72	0.42857	0.36887	0.33580	0.26640	0.53333	0.48458	0.78891

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