Wikipedia - Klasyfikacja

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GhostMiner 3.0
Test 10x10CV stratified

Set1

Dane	Vektory	Cechy	Klasy	Majority	Best
pkg1set1	681	833	4	32.1	kNN k=1 euclid	95.9	0.2
pkg2set1	454	689	6	35.2	kNN k=1 manhatan	81.1	0.5
pkg3set1	353	549	4	39.1	kNN k=auto euclid	90.0	0.3
pkg4set1	434	688	7	30.1	kNN k=1 euclid	72.2	0.6

Inne ciekawe wyniki:

pkg2set1	acc. [%]	std.
kNN k=1 euclid	80.6	0.8
SVM gauss. auto	73.8	5.8
NaiveBayes	72.0	4.3
SVM lin. auto	71.7	6.3
pkg3set1	acc. [%]	std.
kNN k=1 euclid	89.6	0.4
SVM gauss. auto	86.7	0.4

Set3

Dane	Vektory	Cechy	Klasy	Majority	Best
pkg1set3	833	33865	4	28.6	kNN k=1 euclid	92.4	0.3
pkg2set3	689	43300	6	36.1	kNN k=1 euclid	67.9	0.4
pkg3set3	549	54330	4	38.4	kNN k=1 euclid	75.7	0.9
pkg4set3	688	82998	7	32.3	kNN k-1 euclid	54.6	0.6

Set4

Dane	Vektory	Cechy	Klasy
pkg1set4	833	33865	833
pkg2set4	689	43300	29
pkg3set4	549	54330	45
pkg4set4	688	82998	51

Set2

Dane	Vektory	Cechy	Klasy
pkg1set2	681	833	47
pkg2set2	454	689	27
pkg3set2	373	549	32
pkg4set2	481	688	50