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Table 2 Parameters for weighting algorithm and BPSO

From: Feature selection algorithm based on dual correlation filters for cancer-associated somatic variants

Parameters for weighting algorithm

Value

Size of a random feature subset (\(\Phi\))

\(\{2,3, \ldots , 100\}\)

Iteration time for weighting algorithm (\(T_1\))

\(10^6\)

Parameters for BPSO

Value

Iteration time for BPSO (\(T_2\))

100

Control weight (a)

0.5

Acceleration constants (\(c_1\),\(c_2\))

2

Minimum velocity (\(V_{min}\))

\(-6\)

Maximum velocity (\(V_{max}\))

6

Number of particles (P)

100