Dynamic Multi-Swarm Differential Learning Quantum Bird Swarm Algorithm and Its Application in Random Forest Classification Model

Table 14

Attribute reduction results of the logging dataset.

Well	Attributes
W1	Actual attributes	{GR, DT, SP, WQ, LLD, LLS, DEN, NPHI, PE, U, TH, K, CALI}
	Reduction attributes	{GR, DT, SP, LLD, LLS, DEN, NPHI}
W2	Actual attributes	{DENSITY, GAMM, VCLOK, NEUTRO, PERM, POR, RESI, SONIC, SP, SW}
	Reduction attributes	{NEUTRO, PERM, POR, RESI, SW}
W3	Actual attributes	{AC, CNL, DEN, GR, RT, RI, RXO, SP, R2M, R025, BZSP, RA2, C1, C2, CALI, RINC, PORT, VCL, VMA1, VMA6, RHOG, SW, VO, WO, PORE, VXO, VW, AC1}
	Reduction attributes	{AC, GR, RI, RXO, SP}