regression.surrogate_n_comb: Positive integer. Specifies the number of unique coalitions to apply to each training observation. The default is the number of sampled coalitions in the present iteration. Any integer between 1 and the default is allowed. Larger values requires more memory, but may improve the surrogate model. If the user sets a value lower than the maximum, we sample this amount of unique coalitions separately for each training observations. That is, on average, all coalitions should be equally trained.
n_coalitions: Integer. The number of used coalitions (including the empty and grand coalition).