QPC + LVQ - Wizualizacje

Ustawienia modelu

Method lvq+qpc
Initialization 5
LVQ learnign rate 0.010000
Attraction force 0.050000
Max. projections 5
K range 2 10 20
Attraction step 100
Precision (eps) 0.030000

Wyniki uczenia

Dataset	Model
vec	feat	acc.	#P	#K
appendi	106	7	88.68	1.00	2.00
australian-statlog	690	14	86.09	1.00	2.00
bitsymetry15x100	100	15	98.00	1.00	3.00
bitsymetry20x100	100	20	100.00	1.00	3.00
breast-cancer-wisconsin-nomis	683	9	96.19	1.00	2.00
breast-nomis	683	9	96.19	1.00	2.00
czerniak-trs	250	14	89.60	1.00	4.00
glass	214	9	61.68	1.00	4.00
heart-statlog	270	13	83.70	1.00	2.00
ionosphere	200	34	89.50	1.00	2.00
iris	150	4	98.00	1.00	3.00
lbreast-nomis	277	9	76.17	1.00	2.00
led500	500	7	59.20	1.00	9.00
monks1	124	6	94.35	2.00	4.00
monks2	169	6	84.02	1.00	3.00
monks3	122	6	87.70	1.00	2.00
parity-10	1024	10	98.05	1.00	7.00
wine	178	13	95.51	1.00	3.00

Appendicitis

Australian (statlog)

Bit Symatry 20x100

Breast Cancer W. (nomis)

Iris

Ionosphere

L. Breast

Monk's 1

Monk's 2

Parity 10

Wine