Hepatitis (10% of outliers version#06)

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 (470.2 kB) Download raw algorithm evaluation table (30.7 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	4	0.28571	0.21109	0.20455	0.12144	0.36364	0.29715	0.73348
KNN	15	0.28571	0.21109	0.23154	0.15126	0.40000	0.33731	0.75480
KNN	28	0.14286	0.05330	0.21292	0.13069	0.42857	0.36887	0.76546
KNN	32	0.14286	0.05330	0.22527	0.14432	0.42857	0.36887	0.79104
KNNW	13	0.00000	-0.10448	0.19738	0.11352	0.38095	0.31628	0.73774
KNNW	18	0.14286	0.05330	0.19710	0.11322	0.36364	0.29715	0.73774
KNNW	59	0.14286	0.05330	0.20263	0.11932	0.34783	0.27969	0.75906
KNNW	70	0.14286	0.05330	0.20498	0.12191	0.36364	0.29715	0.75906
LOF	18	0.28571	0.21109	0.31243	0.24060	0.50000	0.44776	0.83582
LOF	20	0.28571	0.21109	0.38769	0.32372	0.43478	0.37573	0.82729
LOF	21	0.42857	0.36887	0.35046	0.28260	0.53333	0.48458	0.83156
SimplifiedLOF	30	0.14286	0.05330	0.25764	0.18008	0.45455	0.39756	0.81876
SimplifiedLOF	39	0.14286	0.05330	0.32228	0.25147	0.34783	0.27969	0.77825
SimplifiedLOF	46	0.28571	0.21109	0.23019	0.14976	0.36364	0.29715	0.77825
LoOP	24	0.28571	0.21109	0.22100	0.13961	0.32258	0.25181	0.75053
LoOP	29	0.14286	0.05330	0.23767	0.15802	0.43478	0.37573	0.80384
LoOP	30	0.14286	0.05330	0.23783	0.15820	0.45455	0.39756	0.80384
LoOP	39	0.14286	0.05330	0.31126	0.23930	0.33333	0.26368	0.75906
LDOF	29	0.14286	0.05330	0.30049	0.22741	0.35294	0.28534	0.74414
LDOF	30	0.14286	0.05330	0.23755	0.15790	0.40000	0.33731	0.75267
LDOF	52	0.14286	0.05330	0.21753	0.13578	0.36364	0.29715	0.78038
LDOF	53	0.28571	0.21109	0.23062	0.15024	0.34286	0.27420	0.77612
ODIN	25	0.14286	0.05330	0.26463	0.18780	0.36364	0.29715	0.79104
ODIN	29	0.28571	0.21109	0.26949	0.19317	0.36364	0.29715	0.78252
ODIN	36	0.28571	0.21109	0.24348	0.16444	0.38462	0.32032	0.77399
ODIN	42	0.28571	0.21109	0.27658	0.20100	0.36364	0.29715	0.78998
FastABOD	4	0.28571	0.21109	0.20143	0.11800	0.33333	0.26368	0.68230
FastABOD	42	0.14286	0.05330	0.22855	0.14795	0.43478	0.37573	0.78678
FastABOD	49	0.14286	0.05330	0.23689	0.15716	0.41667	0.35572	0.79318
KDEOS	17	0.14286	0.05330	0.14303	0.05350	0.27273	0.19674	0.60981
KDEOS	48	0.00000	-0.10448	0.17270	0.08627	0.36364	0.29715	0.73561
KDEOS	52	0.00000	-0.10448	0.18691	0.10196	0.36364	0.29715	0.75480
KDEOS	69	0.14286	0.05330	0.19548	0.11142	0.34783	0.27969	0.74414
LDF	13	0.42857	0.36887	0.26500	0.18821	0.42857	0.36887	0.67377
LDF	14	0.42857	0.36887	0.28135	0.20627	0.46154	0.40528	0.69510
LDF	44	0.00000	-0.10448	0.21568	0.13374	0.38095	0.31628	0.78678
INFLO	15	0.28571	0.21109	0.28670	0.21217	0.30769	0.23536	0.61620
INFLO	18	0.14286	0.05330	0.29127	0.21723	0.33333	0.26368	0.70043
INFLO	26	0.28571	0.21109	0.22657	0.14576	0.36364	0.29715	0.65672
COF	67	0.42857	0.36887	0.30100	0.22797	0.42857	0.36887	0.78465
COF	70	0.42857	0.36887	0.48070	0.42644	0.54545	0.49796	0.82090
COF	71	0.42857	0.36887	0.48075	0.42650	0.54545	0.49796	0.82729

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