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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