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# python3 analyzers/regression.py kmeans_12topics_simple raw_count
featurized data 0.9464135074744047
keywords only 0.9674963472491795
overall score - keywords score -0.021082839774774875
standard deviation difference 0.005806028554751355
# python3 analyzers/regression.py kmeans_12topics_no_stopwords raw_count
featurized data 0.9645729195159867
keywords only 0.9749082626890655
overall score - keywords score -0.010335343173078826
standard deviation difference 0.005801599912402916
# python3 analyzers/regression.py kmeans_12topics_spacy_nouns raw_count
featurized data 0.9663160091263149
keywords only 0.9809001158623875
overall score - keywords score -0.014584106736072577
standard deviation difference 0.0052130703412952535
# python3 analyzers/regression.py kmeans_12topics_median_word_length raw_count
featurized data 0.9780956659316068
keywords only 0.9816944761667394
overall score - keywords score -0.0035988102351326434
standard deviation difference 0.004657447004175226
# python3 analyzers/regression.py kmeans_12topics_simple centroid_spread
featurized data 0.9470672863870885
keywords only 0.9604909474447793
overall score - keywords score -0.013423661057690772
standard deviation difference 0.007614360652758074
# python3 analyzers/regression.py kmeans_12topics_no_stopwords centroid_spread
featurized data 0.9646487272595101
keywords only 0.9747670268297466
overall score - keywords score -0.010118299570236466
standard deviation difference 0.005649858706132953
# python3 analyzers/regression.py kmeans_12topics_spacy_nouns centroid_spread
featurized data 0.966506730633538
keywords only 0.9770829301142799
overall score - keywords score -0.010576199480741955
standard deviation difference 0.004872658183411656
# python3 analyzers/regression.py kmeans_12topics_median_word_length centroid_spread
featurized data 0.9782433499185824
keywords only 0.9812128112776167
overall score - keywords score -0.002969461359034309
standard deviation difference 0.003963588277991325
# python3 analyzers/regression.py kmeans_12topics_simple intracluster_proportion
featurized data 0.948249928231051
keywords only 0.9626893669341822
overall score - keywords score -0.014439438703131136
standard deviation difference 0.0066020643325875135
# python3 analyzers/regression.py kmeans_12topics_no_stopwords intracluster_proportion
featurized data 0.9651794341852741
keywords only 0.9732176838617589
overall score - keywords score -0.00803824967648481
standard deviation difference 0.004480298207051271
# python3 analyzers/regression.py kmeans_12topics_spacy_nouns intracluster_proportion
featurized data 0.9664078666177214
keywords only 0.9787493129937412
overall score - keywords score -0.01234144637601986
standard deviation difference 0.004387485612690618
# python3 analyzers/regression.py kmeans_12topics_median_word_length intracluster_proportion
featurized data 0.9783872113129441
keywords only 0.9819607288859054
overall score - keywords score -0.0035735175729612045
standard deviation difference 0.0040720014845419044