{'fraction_non_alphanumeric': 0.01804123711340206, 'fraction_numerical': 0.0, 'mean_word_length': 5.756521739130434, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
MANIPULATION OF METAHEURISTICS FOR THE SEARCH OF TYPICAL TESTERS

One of the tasks of pattern recognition is the selection of subsets of characteristics (SSC), which makes it possible to identify characteristics that provide relevant information. There are different approaches to apply SSC being the logical-combinatory approach through the theory of testers, a widely used tool. A testor is a subset of characteristics capable of distinguishing objects of different classes. Testers in their minimal expression are known as typical testers (TT). Finding them allows distinguishing relevant variables from redundant or irrelevant ones, so that data analysis models become simpler and more understandable, improving their performance and decreasing computational requirements.