Take the resulting list of meta-features returned from candidate_search over top N feature searches and fetch the meta-feature with the best score.

topn_best(topn_list)

Arguments

topn_list

A nested list of objects that are returned from candidate_search using the following parameters: FS = sim_FS, input_score = sim_Scores, top_N = 7, method = "ks_pval", alternative = "less", search_method = "both", max_size = 10, and best_score_only = FALSE.

Value

A list of objects containing the best meta-feature matrix, its corresponding best score, its observed input scores, rank of best meta-features based on their scores, its marginal and cumulative best scores.

Examples


# Load pre-computed Top-N list generated for sim_FS dataset
data(topn_list)

# Get the best meta-features list
topn_best_meta <- topn_best(topn_list = topn_list)