Hepatitis (16% of outliers)

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, 80 objects, 13 outliers (16.25%)

Download raw algorithm results (547.0 kB) Download raw algorithm evaluation table (37.6 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	21	0.30769	0.17336	0.33080	0.20095	0.48980	0.39080	0.78588
KNN	22	0.38462	0.26521	0.31999	0.18804	0.50000	0.40299	0.77842
KNN	33	0.30769	0.17336	0.31793	0.18558	0.52381	0.43141	0.77612
KNNW	13	0.30769	0.17336	0.24260	0.09564	0.43636	0.32700	0.69116
KNNW	61	0.23077	0.08152	0.28532	0.14665	0.50000	0.40299	0.74856
KNNW	77	0.23077	0.08152	0.29417	0.15721	0.46154	0.35706	0.74168
LOF	31	0.38462	0.26521	0.31297	0.17966	0.46154	0.35706	0.76693
LOF	45	0.30769	0.17336	0.34507	0.21800	0.50000	0.40299	0.80023
LOF	48	0.30769	0.17336	0.33899	0.21073	0.54054	0.45139	0.80367
SimplifiedLOF	60	0.30769	0.17336	0.27398	0.13311	0.44898	0.34207	0.72790
SimplifiedLOF	65	0.23077	0.08152	0.27753	0.13734	0.48000	0.37910	0.73364
SimplifiedLOF	76	0.23077	0.08152	0.29024	0.15252	0.46154	0.35706	0.73823
SimplifiedLOF	78	0.23077	0.08152	0.29129	0.15378	0.46154	0.35706	0.73823
LoOP	51	0.23077	0.08152	0.24994	0.10440	0.41935	0.30669	0.69231
LoOP	58	0.23077	0.08152	0.27335	0.13236	0.44000	0.33134	0.72331
LoOP	63	0.23077	0.08152	0.26400	0.12120	0.46154	0.35706	0.70666
LoOP	78	0.23077	0.08152	0.28569	0.14709	0.46154	0.35706	0.72273
LDOF	59	0.23077	0.08152	0.23649	0.08834	0.41935	0.30669	0.67394
LDOF	70	0.23077	0.08152	0.26875	0.12686	0.46154	0.35706	0.71642
LDOF	79	0.23077	0.08152	0.29129	0.15378	0.46154	0.35706	0.73823
ODIN	36	0.26154	0.11825	0.28265	0.14346	0.45833	0.35323	0.71584
ODIN	45	0.38462	0.26521	0.31011	0.17625	0.44444	0.33665	0.74340
ODIN	46	0.38462	0.26521	0.32884	0.19861	0.43137	0.32104	0.74455
ODIN	58	0.30769	0.17336	0.31282	0.17949	0.45714	0.35181	0.74971
FastABOD	4	0.23077	0.08152	0.28543	0.14678	0.36923	0.24684	0.59127
FastABOD	59	0.15385	-0.01033	0.25204	0.10692	0.43636	0.32700	0.70953
FastABOD	62	0.07692	-0.10218	0.25062	0.10522	0.44444	0.33665	0.70838
KDEOS	4	0.23077	0.08152	0.17014	0.00912	0.27957	0.13978	0.44891
KDEOS	78	0.15385	-0.01033	0.24664	0.10046	0.45833	0.35323	0.70608
KDEOS	79	0.15385	-0.01033	0.25144	0.10620	0.45833	0.35323	0.71183
LDF	18	0.38462	0.26521	0.35027	0.22420	0.56250	0.47761	0.78760
LDF	23	0.30769	0.17336	0.39489	0.27748	0.52632	0.43441	0.78416
LDF	46	0.30769	0.17336	0.36583	0.24278	0.54545	0.45726	0.82893
LDF	52	0.30769	0.17336	0.33853	0.21018	0.57895	0.49725	0.78875
INFLO	34	0.30769	0.17336	0.23407	0.08546	0.32432	0.19322	0.56487
INFLO	44	0.23077	0.08152	0.25209	0.10698	0.30303	0.16780	0.53157
INFLO	55	0.23077	0.08152	0.23062	0.08133	0.34483	0.21770	0.60276
COF	54	0.30769	0.17336	0.40276	0.28688	0.60606	0.52962	0.81745
COF	73	0.53846	0.44891	0.41610	0.30281	0.56000	0.47463	0.79564
COF	77	0.46154	0.35706	0.49679	0.39915	0.54545	0.45726	0.82204
COF	78	0.53846	0.44891	0.49190	0.39331	0.54545	0.45726	0.82721

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