Hepatitis (5% of outliers version#08)

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, 70 objects, 3 outliers (4.29%)

Download raw algorithm results (420.7 kB) Download raw algorithm evaluation table (22.5 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	0.00000	-0.04478	0.09310	0.05250	0.17647	0.13960	0.69154
KNN	16	0.00000	-0.04478	0.12337	0.08412	0.26667	0.23383	0.77612
KNN	41	0.00000	-0.04478	0.12326	0.08400	0.26087	0.22777	0.79602
KNNW	1	0.00000	-0.04478	0.09286	0.05224	0.16667	0.12935	0.70149
KNNW	21	0.00000	-0.04478	0.10719	0.06721	0.22222	0.18740	0.73632
KNNW	27	0.00000	-0.04478	0.11004	0.07019	0.22222	0.18740	0.75124
KNNW	51	0.00000	-0.04478	0.10734	0.06737	0.21429	0.17910	0.76119
LOF	12	0.66667	0.65174	0.41919	0.39319	0.66667	0.65174	0.84080
LOF	13	0.33333	0.30348	0.54545	0.52510	0.57143	0.55224	0.89552
LOF	19	0.33333	0.30348	0.31217	0.28137	0.40000	0.37313	0.90547
SimplifiedLOF	11	0.33333	0.30348	0.21871	0.18373	0.40000	0.37313	0.68159
SimplifiedLOF	12	0.33333	0.30348	0.39383	0.36668	0.50000	0.47761	0.70647
SimplifiedLOF	22	0.33333	0.30348	0.42620	0.40050	0.50000	0.47761	0.81592
SimplifiedLOF	29	0.00000	-0.04478	0.17963	0.14290	0.33333	0.30348	0.85572
LoOP	12	0.33333	0.30348	0.22696	0.19235	0.40000	0.37313	0.71642
LoOP	13	0.33333	0.30348	0.40409	0.37741	0.50000	0.47761	0.76119
LoOP	23	0.33333	0.30348	0.43240	0.40699	0.50000	0.47761	0.84080
LoOP	29	0.00000	-0.04478	0.17456	0.13760	0.33333	0.30348	0.86070
LDOF	13	0.33333	0.30348	0.20901	0.17359	0.40000	0.37313	0.62687
LDOF	14	0.33333	0.30348	0.38025	0.35250	0.50000	0.47761	0.66169
LDOF	28	0.33333	0.30348	0.41204	0.38571	0.50000	0.47761	0.81592
ODIN	20	0.00000	-0.04478	0.16082	0.12324	0.27273	0.24016	0.84080
ODIN	21	0.11111	0.07131	0.13713	0.09850	0.25000	0.21642	0.78607
ODIN	24	0.00000	-0.04478	0.15455	0.11669	0.28571	0.25373	0.79602
FastABOD	3	0.00000	-0.04478	0.08555	0.04460	0.20000	0.16418	0.56219
FastABOD	9	0.00000	-0.04478	0.11163	0.07186	0.22222	0.18740	0.70647
FastABOD	61	0.00000	-0.04478	0.10290	0.06274	0.18750	0.15112	0.74129
KDEOS	2	0.33333	0.30348	0.19732	0.16138	0.40000	0.37313	0.58955
KDEOS	18	0.00000	-0.04478	0.20480	0.16920	0.44444	0.41957	0.79104
KDEOS	19	0.00000	-0.04478	0.22386	0.18910	0.44444	0.41957	0.81095
KDEOS	33	0.33333	0.30348	0.19823	0.16233	0.33333	0.30348	0.82587
LDF	5	0.33333	0.30348	0.22498	0.19028	0.40000	0.37313	0.69652
LDF	6	0.33333	0.30348	0.39477	0.36767	0.50000	0.47761	0.71642
LDF	52	0.00000	-0.04478	0.13079	0.09187	0.30000	0.26866	0.81095
INFLO	12	0.33333	0.30348	0.14478	0.10649	0.33333	0.30348	0.54478
INFLO	13	0.33333	0.30348	0.36724	0.33890	0.50000	0.47761	0.56219
INFLO	18	0.33333	0.30348	0.48120	0.45797	0.50000	0.47761	0.89552
COF	8	0.33333	0.30348	0.21057	0.17523	0.36364	0.33514	0.66667
COF	10	0.33333	0.30348	0.41317	0.38689	0.50000	0.47761	0.71144
COF	11	0.33333	0.30348	0.41568	0.38951	0.50000	0.47761	0.74129
COF	13	0.00000	-0.04478	0.16255	0.12505	0.28571	0.25373	0.80100

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