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* #76 remove 'y' from consonant sequences feature * #77 add all Mexico states abbreviations and its source in the docstring * #73 implement shannon entropy method and adapt the threshold calculation to also match values below * #73 new model with shannon entropy and notebook sets * #73 fix baja california abbreviation * #73 fix keysmash sequence test to also consider special characters * #74 fix private methods naming convention to double underscores * #75 and #78 add KeySmash features: repeated bigrams and unique chars ratios * #74 fix tests and parser private methods * #74 add model test * #74 update initial sets models --------- Co-authored-by: atarchetti <[email protected]>
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data/models/RandomForest_Ksmash_Regex_Enrichments_Normalization.pkl
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data/models/normalization_absolutes_rforest_ksmash_regex_normal.csv
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feature_ks_count_sequence_squared_vowels,feature_ks_count_sequence_squared_consonants,feature_ks_count_sequence_squared_special_characters,feature_ks_average_of_char_count_squared,feature_ks_shannon_entropy,feature_ks_repeated_bigram_ratio,feature_ks_unique_char_ratio | ||
15.03125,30.0,30.0,30.0,4.735393717824877,1.9491525423728815,2.0 |
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.../normalization_absolutes_rforest_ksmash_shannon_bigram_unique_wembedding_regex_normal.csv
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feature_ks_count_sequence_squared_vowels,feature_ks_count_sequence_squared_consonants,feature_ks_count_sequence_squared_special_characters,feature_ks_average_of_char_count_squared,feature_ks_shannon_entropy,feature_ks_repeated_bigram_ratio,feature_ks_unique_char_ratio | ||
15.03125,30.0,30.0,30.0,4.680689288944333,1.9491525423728815,2.0 |
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.../models/normalization_absolutes_rforest_ksmash_shannon_bigram_wembedding_regex_normal.csv
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feature_ks_count_sequence_squared_vowels,feature_ks_count_sequence_squared_consonants,feature_ks_count_sequence_squared_special_characters,feature_ks_average_of_char_count_squared,feature_ks_shannon_entropy,feature_ks_repeated_bigram_ratio | ||
15.03125,30.0,30.0,30.0,4.680689288944333,1.9491525423728815 |
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data/models/normalization_absolutes_rforest_ksmash_shannon_wembedding_regex_normal.csv
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feature_ks_count_sequence_squared_vowels,feature_ks_count_sequence_squared_consonants,feature_ks_count_sequence_squared_special_characters,feature_ks_average_of_char_count_squared,feature_ks_shannon_entropy | ||
15.03125,30.0,30.0,30.0,4.779780045430954 |
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data/models/normalization_absolutes_rforest_ksmash_wembedding_regex_normal.csv
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feature_ks_count_sequence_squared_vowels,feature_ks_count_sequence_squared_consonants,feature_ks_count_sequence_squared_special_characters,feature_ks_average_of_char_count_squared,feature_ks_repeated_bigram_ratio,feature_ks_unique_char_ratio | ||
15.03125,30.0,30.0,30.0,1.9491525423728815,2.0 |
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