Supervised ML Algorithms in the High Dimensional Applications for Dimension Reduction

Table 4

Performance of classifiers in dependence of data and sample complexity by WMRRA and MR.

Algorithm	Rank 1		Rank 2		Rank 3		Rank 4
	MR1	WMRRA1	MR2	WMRRA2	MR3	WMRRA3	MR4	WMRRA4
LDA	10	10	14	14	6	6	7	7
K-NN	13	13	4	4	7	7	5	3
ID3	1	1	15	15	14	15	15	15
MLP	9	9	2	2	12	13	9	9
NBC	12	12	13	13	4	4	10	11
BVM	11	11	3	3	2	2	4	4
CVM	15	15	1	1	1	1	3	5
C4.5	8	8	6	7	10	10	2	2
C-RT	2	2	12	12	15	14	14	13
CS-CRT	4	4	11	10	13	12	11	12
CS-MC4	5	5	10	11	8	8	6	6
C-SVC	14	14	7	9	5	5	8	10
PLS-DA	3	3	9	8	11	11	13	8
PLS-LDA	7	7	8	6	3	3	12	14
RFT	6	6	5	5	9	9	1	1

Rank 1: with 75% proportion of sample complexity. rank 2: with 75% proportion of data complexity. rank 3: with 60% data complexity. rank 4: average accuracy on multiple datasets.