Take the resulting list of meta-features returned from candidate_search()
and fetch the meta-feature with the best score
topn_best(topn_list)A nested list of objects that is returned from candidate_search()
by setting 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. The nested list contains
the meta-feature sets as well as the observed input scores and its corresponding
best score for each top 'N' search.
A list of objects containing the best meta-feature, its corresponding best score, and observed input scores
# 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)