[Retracted] Comparative Analysis of Machine Learning Methods for Breast Cancer Classification in Genetic Sequences

Table 3

Representation of the confusion matrix.

ML model	Dataset size
	50	100	150	200
DT	[3 4 3]	[12 2 3]	[22 1 2]	[34 0 2]
	[4 6 5]	[0 14 3]	[1 28 2]	[0 32 2]
	[2 2 7]	[1 3 12]	[0 6 19]	[0 5 47]
RF	[0 7 2]	[18 0 1]	[23 0 0]	[34 0 0]
	[1 10 0]	[0 18 4]	[0 32 4]	[0 32 4]
	[1 8 0]	[0 1 17]	[1 10 15]	[0 6 41]
AB	[ 2 4 3]	[11 3 0]	[20 3 0]	[35 0 0]
	[5 4 5]	[4 18 0]	[0 30 2]	[0 37 0]
	[3 2 5]	[2 9 12]	[2 11 10]	[1 28 23]
GB	[1 8 1]	[14 1 1]	[21 1 0]	[35 1 0]
	[2 5 3]	[0 22 1]	[0 32 5]	[2 33 2]
	[1 2 5]	[1 2 15]	[0 14 12]	[3 5 45]