In [1]:
import numpy as np
import pandas as pd
import os
filepath = '/Users/mac/Desktop/Kaggle_datasets/Wiki_traffic/'
filename01 = 'train_1.csv'
filename02 = 'key_1.csv'
filename03 = 'sample_submission_1.csv'
df_train = pd.read_csv(os.path.join(filepath, filename01))
df_test = pd.read_csv(os.path.join(filepath, filename02))
df_ans = pd.read_csv(os.path.join(filepath, filename03))
In [2]:
df_train.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 145063 entries, 0 to 145062
Columns: 551 entries, Page to 2016-12-31
dtypes: float64(550), object(1)
memory usage: 609.8+ MB
In [3]:
df_train
Out[3]:
Page
2015-07-01
2015-07-02
2015-07-03
2015-07-04
2015-07-05
2015-07-06
2015-07-07
2015-07-08
2015-07-09
...
2016-12-22
2016-12-23
2016-12-24
2016-12-25
2016-12-26
2016-12-27
2016-12-28
2016-12-29
2016-12-30
2016-12-31
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Sin_senos_sí_hay_paraíso_es.wikipedia.org_all-...
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Anexo:Medallero_de_los_Juegos_Olímpicos_de_Río...
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145063 rows × 551 columns
In [4]:
df_train_0 = df_train.fillna(0) #Fillna，反正分不出是0還是na就通通當成0
In [5]:
page_list = df_train['Page'].tolist()
In [6]:
page_list.sort() #排序page才方便跟test欄位比較
In [7]:
page_list
Out[7]:
['!vote_en.wikipedia.org_all-access_all-agents',
'!vote_en.wikipedia.org_all-access_spider',
'!vote_en.wikipedia.org_desktop_all-agents',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_spider',
'"Awaken,_My_Love!"_en.wikipedia.org_desktop_all-agents',
'"European_Society_for_Clinical_Investigation"_en.wikipedia.org_all-access_all-agents',
'"European_Society_for_Clinical_Investigation"_en.wikipedia.org_all-access_spider',
'"European_Society_for_Clinical_Investigation"_en.wikipedia.org_desktop_all-agents',
'"Heroes"_(David_Bowie_album)_en.wikipedia.org_all-access_all-agents',
'"Heroes"_(David_Bowie_album)_en.wikipedia.org_all-access_spider',
'"Heroes"_(David_Bowie_album)_en.wikipedia.org_desktop_all-agents',
'"Keep_me_logged_in"_extended_to_one_year_www.mediawiki.org_all-access_all-agents',
'"Keep_me_logged_in"_extended_to_one_year_www.mediawiki.org_all-access_spider',
'"Keep_me_logged_in"_extended_to_one_year_www.mediawiki.org_desktop_all-agents',
'"Keep_me_logged_in"_extended_to_one_year_www.mediawiki.org_mobile-web_all-agents',
'"Weird_Al"_Yankovic_en.wikipedia.org_all-access_all-agents',
'"Weird_Al"_Yankovic_en.wikipedia.org_all-access_spider',
'"Weird_Al"_Yankovic_en.wikipedia.org_desktop_all-agents',
'%s_www.mediawiki.org_mobile-web_all-agents',
"'Tis_the_Season_(Vince_Gill_and_Olivia_Newton-John_album)_en.wikipedia.org_all-access_all-agents",
"'Tis_the_Season_(Vince_Gill_and_Olivia_Newton-John_album)_en.wikipedia.org_all-access_spider",
"'Tis_the_Season_(Vince_Gill_and_Olivia_Newton-John_album)_en.wikipedia.org_mobile-web_all-agents",
"'Tis_the_Season_en.wikipedia.org_all-access_all-agents",
"'Tis_the_Season_en.wikipedia.org_all-access_spider",
"'Tis_the_Season_en.wikipedia.org_desktop_all-agents",
"'Tis_the_Season_en.wikipedia.org_mobile-web_all-agents",
'(1)_Ceres_de.wikipedia.org_desktop_all-agents',
'(236984)_Astier_fr.wikipedia.org_all-access_all-agents',
'(236984)_Astier_fr.wikipedia.org_all-access_spider',
'(236984)_Astier_fr.wikipedia.org_mobile-web_all-agents',
'(500)_Days_of_Summer_es.wikipedia.org_mobile-web_all-agents',
'...The_Stories_We_Could_Tell_en.wikipedia.org_all-access_all-agents',
'.bn_ru.wikipedia.org_desktop_all-agents',
'.ca_ru.wikipedia.org_desktop_all-agents',
'.odc_en.wikipedia.org_all-access_all-agents',
'.xxx_en.wikipedia.org_all-access_all-agents',
'.xxx_en.wikipedia.org_all-access_spider',
'.xxx_en.wikipedia.org_mobile-web_all-agents',
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'16._Dezember_de.wikipedia.org_desktop_all-agents',
'16._Februar_de.wikipedia.org_desktop_all-agents',
'16._Januar_de.wikipedia.org_desktop_all-agents',
'16._Juni_de.wikipedia.org_desktop_all-agents',
'16._März_de.wikipedia.org_desktop_all-agents',
'16._November_de.wikipedia.org_desktop_all-agents',
'16._September_de.wikipedia.org_desktop_all-agents',
'16_de_septiembre_es.wikipedia.org_all-access_all-agents',
'16_de_septiembre_es.wikipedia.org_all-access_spider',
'16_de_septiembre_es.wikipedia.org_desktop_all-agents',
'16_de_septiembre_es.wikipedia.org_mobile-web_all-agents',
'16個夏天_zh.wikipedia.org_all-access_all-agents',
'16個夏天_zh.wikipedia.org_all-access_spider',
'16個夏天_zh.wikipedia.org_desktop_all-agents',
'16個夏天_zh.wikipedia.org_mobile-web_all-agents',
'17._August_de.wikipedia.org_desktop_all-agents',
'17._Februar_de.wikipedia.org_desktop_all-agents',
'17._Januar_de.wikipedia.org_desktop_all-agents',
'17._Juni_de.wikipedia.org_desktop_all-agents',
'17._Mai_de.wikipedia.org_desktop_all-agents',
'17._März_de.wikipedia.org_desktop_all-agents',
'17._November_de.wikipedia.org_desktop_all-agents',
'17._Oktober_de.wikipedia.org_desktop_all-agents',
'1775_in_Great_Britain_en.wikipedia.org_all-access_all-agents',
'1781_in_literature_en.wikipedia.org_all-access_all-agents',
'18._April_de.wikipedia.org_desktop_all-agents',
'18._August_de.wikipedia.org_desktop_all-agents',
'18._Februar_de.wikipedia.org_desktop_all-agents',
'18._Januar_de.wikipedia.org_desktop_all-agents',
'18._Juli_de.wikipedia.org_desktop_all-agents',
'18._Mai_de.wikipedia.org_desktop_all-agents',
'18._März_de.wikipedia.org_desktop_all-agents',
'18._November_de.wikipedia.org_desktop_all-agents',
'18._Oktober_de.wikipedia.org_desktop_all-agents',
'1876_in_literature_en.wikipedia.org_all-access_all-agents',
'187_Strassenbande_de.wikipedia.org_all-access_all-agents',
'187_Strassenbande_de.wikipedia.org_all-access_spider',
'187_Strassenbande_de.wikipedia.org_desktop_all-agents',
'187_Strassenbande_de.wikipedia.org_mobile-web_all-agents',
'1884_in_South_Africa_en.wikipedia.org_all-access_all-agents',
'1896_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'1896_Summer_Olympics_en.wikipedia.org_all-access_spider',
'1896_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1896_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
'18F_en.wikipedia.org_all-access_all-agents',
'18th_&_California_and_18th_&_Stout_stations_en.wikipedia.org_all-access_all-agents',
'18歲不睡_zh.wikipedia.org_all-access_all-agents',
'18歲不睡_zh.wikipedia.org_all-access_spider',
'18歲不睡_zh.wikipedia.org_desktop_all-agents',
'19._April_de.wikipedia.org_desktop_all-agents',
'19._August_de.wikipedia.org_desktop_all-agents',
'19._Dezember_de.wikipedia.org_desktop_all-agents',
'19._Februar_de.wikipedia.org_desktop_all-agents',
'19._Januar_de.wikipedia.org_desktop_all-agents',
'19._Juli_de.wikipedia.org_desktop_all-agents',
'19._Mai_de.wikipedia.org_desktop_all-agents',
'19._Oktober_de.wikipedia.org_desktop_all-agents',
'19._September_de.wikipedia.org_desktop_all-agents',
'1911_Michigan_State_Normal_Normalites_football_team_en.wikipedia.org_all-access_all-agents',
'1912_Washington_and_Lee_Generals_football_team_en.wikipedia.org_all-access_all-agents',
'1917_South_American_Championship_en.wikipedia.org_all-access_all-agents',
'1918_flu_pandemic_en.wikipedia.org_all-access_all-agents',
'1918_flu_pandemic_en.wikipedia.org_all-access_spider',
'1918_flu_pandemic_en.wikipedia.org_desktop_all-agents',
'1920_London_en.wikipedia.org_all-access_all-agents',
'1920_London_en.wikipedia.org_all-access_spider',
'1920_London_en.wikipedia.org_mobile-web_all-agents',
'1922_Kentucky_Derby_en.wikipedia.org_all-access_all-agents',
'1923_San_Pedro_Maritime_Strike_en.wikipedia.org_all-access_all-agents',
'1923_San_Pedro_Maritime_Strike_en.wikipedia.org_all-access_spider',
'1923_San_Pedro_Maritime_Strike_en.wikipedia.org_desktop_all-agents',
'1925_in_Mandatory_Palestine_en.wikipedia.org_all-access_all-agents',
'1926_Birthday_Honours_en.wikipedia.org_all-access_all-agents',
'1930_in_South_Africa_en.wikipedia.org_all-access_all-agents',
'1935_in_film_en.wikipedia.org_all-access_all-agents',
'1936_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'1936_Summer_Olympics_en.wikipedia.org_all-access_spider',
'1936_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1936_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
'1937_Colorado_Buffaloes_football_team_en.wikipedia.org_all-access_all-agents',
'1938_World_Archery_Championships_en.wikipedia.org_all-access_all-agents',
'1938_in_Germany_en.wikipedia.org_all-access_all-agents',
'1940_Brocklesby_mid-air_collision_en.wikipedia.org_desktop_all-agents',
'1944_(Lied)_de.wikipedia.org_all-access_all-agents',
'1944_(Lied)_de.wikipedia.org_all-access_spider',
'1944_(Lied)_de.wikipedia.org_desktop_all-agents',
'1944_(song)_en.wikipedia.org_all-access_all-agents',
'1944_(song)_en.wikipedia.org_all-access_spider',
'1944_(song)_en.wikipedia.org_desktop_all-agents',
'1944_(песня)_ru.wikipedia.org_all-access_all-agents',
'1944_(песня)_ru.wikipedia.org_all-access_spider',
'1944_(песня)_ru.wikipedia.org_desktop_all-agents',
'1944_(песня)_ru.wikipedia.org_mobile-web_all-agents',
"1949_Women's_Western_Open_en.wikipedia.org_all-access_all-agents",
'1950_The_Citadel_Bulldogs_football_team_en.wikipedia.org_all-access_all-agents',
'1950s_en.wikipedia.org_all-access_all-agents',
'1950s_en.wikipedia.org_all-access_spider',
'1950s_en.wikipedia.org_desktop_all-agents',
'1952_French_Grand_Prix_en.wikipedia.org_all-access_all-agents',
'1952年倫敦煙霧事件_zh.wikipedia.org_desktop_all-agents',
'1953_Adelaide_Carnival_en.wikipedia.org_all-access_all-agents',
'1953_in_Denmark_en.wikipedia.org_all-access_all-agents',
'1956_Milwaukee_Braves_season_en.wikipedia.org_all-access_all-agents',
'1960_Green_Bay_Packers_season_en.wikipedia.org_all-access_all-agents',
'1960_NCAA_Soccer_Championship_en.wikipedia.org_all-access_all-agents',
'1964年白河地震_zh.wikipedia.org_all-access_all-agents',
'1964年白河地震_zh.wikipedia.org_all-access_spider',
'1964年白河地震_zh.wikipedia.org_desktop_all-agents',
'1964年白河地震_zh.wikipedia.org_mobile-web_all-agents',
'1967年_ja.wikipedia.org_desktop_all-agents',
'1969_New_Year_Honours_en.wikipedia.org_all-access_all-agents',
"1969_WCHA_Men's_Ice_Hockey_Tournament_en.wikipedia.org_all-access_all-agents",
'1970_Minnesota_Golden_Gophers_football_team_en.wikipedia.org_all-access_all-agents',
'1973_All-Big_Ten_Conference_football_team_en.wikipedia.org_all-access_all-agents',
'1976_Masters_(snooker)_en.wikipedia.org_all-access_all-agents',
'1976_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1977_Ohio_Bobcats_football_team_en.wikipedia.org_all-access_all-agents',
'1977_Rose_Bowl_en.wikipedia.org_all-access_all-agents',
'1979_Calgary_Stampeders_season_en.wikipedia.org_all-access_all-agents',
'1979_Ole_Miss_Rebels_football_team_en.wikipedia.org_all-access_all-agents',
'1980_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
"1981_NCAA_Division_II_Men's_Ice_Hockey_Tournament_en.wikipedia.org_all-access_all-agents",
'1984_(Roman)_de.wikipedia.org_all-access_all-agents',
'1984_(Roman)_de.wikipedia.org_all-access_spider',
'1984_(Roman)_de.wikipedia.org_desktop_all-agents',
'1984_(Roman)_de.wikipedia.org_mobile-web_all-agents',
'1984_(novela)_es.wikipedia.org_desktop_all-agents',
'1984_(roman)_fr.wikipedia.org_all-access_all-agents',
'1984_(roman)_fr.wikipedia.org_all-access_spider',
'1984_(roman)_fr.wikipedia.org_desktop_all-agents',
'1984_(roman)_fr.wikipedia.org_mobile-web_all-agents',
'1984_(роман)_ru.wikipedia.org_all-access_all-agents',
'1984_(роман)_ru.wikipedia.org_all-access_spider',
'1984_(роман)_ru.wikipedia.org_desktop_all-agents',
'1984_(роман)_ru.wikipedia.org_mobile-web_all-agents',
'1984_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'1984_Summer_Olympics_en.wikipedia.org_all-access_spider',
'1984_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1984_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
'1986_in_the_Philippines_en.wikipedia.org_all-access_all-agents',
'1987_Japanese_Grand_Prix_en.wikipedia.org_all-access_all-agents',
"1987_U.S._Women's_Open_Golf_Championship_en.wikipedia.org_all-access_all-agents",
'1987_Western_Soccer_Alliance_en.wikipedia.org_all-access_all-agents',
'1988_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1989_(Taylor_Swift_album)_en.wikipedia.org_desktop_all-agents',
'1989_Individual_Speedway_Junior_World_Championship_en.wikipedia.org_all-access_all-agents',
'1989一念間_zh.wikipedia.org_all-access_all-agents',
'1989一念間_zh.wikipedia.org_all-access_spider',
'1989一念間_zh.wikipedia.org_desktop_all-agents',
'1989一念間_zh.wikipedia.org_mobile-web_all-agents',
'1990_Riklis_Classic_en.wikipedia.org_all-access_all-agents',
'1990_airlift_of_Indians_from_Kuwait_en.wikipedia.org_all-access_all-agents',
'1990_airlift_of_Indians_from_Kuwait_en.wikipedia.org_all-access_spider',
'1990_airlift_of_Indians_from_Kuwait_en.wikipedia.org_desktop_all-agents',
'1990_airlift_of_Indians_from_Kuwait_en.wikipedia.org_mobile-web_all-agents',
'1990年中華民國總統選舉_zh.wikipedia.org_mobile-web_all-agents',
'1991_Fiesta_Bowl_en.wikipedia.org_all-access_all-agents',
'1992_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'1992_Summer_Olympics_en.wikipedia.org_all-access_spider',
'1992_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1992_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
"1992_United_States_men's_Olympic_basketball_team_en.wikipedia.org_all-access_all-agents",
"1992_United_States_men's_Olympic_basketball_team_en.wikipedia.org_all-access_spider",
"1992_United_States_men's_Olympic_basketball_team_en.wikipedia.org_mobile-web_all-agents",
'1992_es.wikipedia.org_desktop_all-agents',
'1994_NBA_draft_en.wikipedia.org_all-access_all-agents',
'1994年北一女中學生自殺事件_zh.wikipedia.org_all-access_all-agents',
'1994年北一女中學生自殺事件_zh.wikipedia.org_all-access_spider',
'1994年北一女中學生自殺事件_zh.wikipedia.org_desktop_all-agents',
'1994年北一女中學生自殺事件_zh.wikipedia.org_mobile-web_all-agents',
'1995–96_Chicago_Bulls_season_en.wikipedia.org_all-access_all-agents',
'1995–96_Chicago_Bulls_season_en.wikipedia.org_all-access_spider',
'1995–96_Chicago_Bulls_season_en.wikipedia.org_mobile-web_all-agents',
'1996_Catalan_motorcycle_Grand_Prix_en.wikipedia.org_all-access_all-agents',
'1996_Mount_Everest_disaster_en.wikipedia.org_all-access_all-agents',
'1996_Mount_Everest_disaster_en.wikipedia.org_all-access_spider',
'1996_Mount_Everest_disaster_en.wikipedia.org_mobile-web_all-agents',
'1996_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'1996_Summer_Olympics_en.wikipedia.org_all-access_spider',
'1996_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'1996_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
'1996_Summer_Olympics_medal_table_en.wikipedia.org_desktop_all-agents',
'1996_in_music_en.wikipedia.org_all-access_all-agents',
'1996_in_music_en.wikipedia.org_all-access_spider',
'1996_in_music_en.wikipedia.org_desktop_all-agents',
'1996年中華民國總統選舉_zh.wikipedia.org_all-access_all-agents',
'1996年中華民國總統選舉_zh.wikipedia.org_all-access_spider',
'1996年中華民國總統選舉_zh.wikipedia.org_desktop_all-agents',
'1996年中華民國總統選舉_zh.wikipedia.org_mobile-web_all-agents',
'1996年珠穆朗瑪峰事故_zh.wikipedia.org_mobile-web_all-agents',
'1997_Tour_de_Langkawi_en.wikipedia.org_all-access_all-agents',
'1997_in_British_radio_en.wikipedia.org_all-access_all-agents',
'1998_FIFA_World_Cup_en.wikipedia.org_all-access_all-agents',
'1998_FIFA_World_Cup_en.wikipedia.org_all-access_spider',
'1998_FIFA_World_Cup_en.wikipedia.org_desktop_all-agents',
"1998_FIVB_Volleyball_Women's_World_Championship_qualification_en.wikipedia.org_all-access_all-agents",
'1998_Sacramento_Monarchs_season_en.wikipedia.org_all-access_all-agents',
'1999_(Prince_album)_en.wikipedia.org_all-access_all-agents',
'1999_(Prince_album)_en.wikipedia.org_all-access_spider',
'1999_(Prince_album)_en.wikipedia.org_desktop_all-agents',
'1999_(Prince_album)_en.wikipedia.org_mobile-web_all-agents',
'1999_AT&T_Challenge_en.wikipedia.org_all-access_all-agents',
'1999_Anaheim_Angels_season_en.wikipedia.org_all-access_all-agents',
'1999_European_Aquatics_Championships_en.wikipedia.org_all-access_all-agents',
'19_Kids_and_Counting_en.wikipedia.org_mobile-web_all-agents',
'1_de_mayo_es.wikipedia.org_all-access_all-agents',
'1_de_mayo_es.wikipedia.org_all-access_spider',
'1_de_mayo_es.wikipedia.org_mobile-web_all-agents',
'1er_mai_fr.wikipedia.org_mobile-web_all-agents',
'1er_novembre_fr.wikipedia.org_all-access_all-agents',
'1er_novembre_fr.wikipedia.org_all-access_spider',
'1er_novembre_fr.wikipedia.org_desktop_all-agents',
'1er_novembre_fr.wikipedia.org_mobile-web_all-agents',
'1世代_zh.wikipedia.org_desktop_all-agents',
'1月11日_ja.wikipedia.org_desktop_all-agents',
'1月14日_ja.wikipedia.org_desktop_all-agents',
'1月17日_ja.wikipedia.org_desktop_all-agents',
'1月19日_ja.wikipedia.org_desktop_all-agents',
'1月20日_ja.wikipedia.org_desktop_all-agents',
'1月21日_ja.wikipedia.org_desktop_all-agents',
'1月23日_ja.wikipedia.org_desktop_all-agents',
'1月26日_ja.wikipedia.org_desktop_all-agents',
'1月27日_ja.wikipedia.org_desktop_all-agents',
'1月31日_ja.wikipedia.org_desktop_all-agents',
'2.0_(film)_en.wikipedia.org_all-access_all-agents',
'2.0_(film)_en.wikipedia.org_all-access_spider',
'2.0_(film)_en.wikipedia.org_mobile-web_all-agents',
'2._August_de.wikipedia.org_desktop_all-agents',
'2._Dezember_de.wikipedia.org_desktop_all-agents',
'2._Februar_de.wikipedia.org_desktop_all-agents',
'2._Fußball-Bundesliga_2015/16_de.wikipedia.org_desktop_all-agents',
'2._Fußball-Bundesliga_2016/17_de.wikipedia.org_desktop_all-agents',
'2._Januar_de.wikipedia.org_desktop_all-agents',
'2._Juni_de.wikipedia.org_desktop_all-agents',
'2._Mai_de.wikipedia.org_desktop_all-agents',
'2._März_de.wikipedia.org_desktop_all-agents',
'2._November_de.wikipedia.org_desktop_all-agents',
'2._September_de.wikipedia.org_desktop_all-agents',
'20._April_de.wikipedia.org_all-access_all-agents',
'20._April_de.wikipedia.org_all-access_spider',
'20._April_de.wikipedia.org_desktop_all-agents',
'20._Dezember_de.wikipedia.org_desktop_all-agents',
'20._Februar_de.wikipedia.org_desktop_all-agents',
'20._Januar_de.wikipedia.org_desktop_all-agents',
'20._Juli_de.wikipedia.org_desktop_all-agents',
'20._Juni_de.wikipedia.org_desktop_all-agents',
'20._Mai_de.wikipedia.org_desktop_all-agents',
'20._Oktober_de.wikipedia.org_desktop_all-agents',
'20._September_de.wikipedia.org_desktop_all-agents',
'2000_African_Futsal_Championship_en.wikipedia.org_all-access_all-agents',
'2000_Brady_tornado_en.wikipedia.org_all-access_all-agents',
'2000_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'2000_Summer_Olympics_en.wikipedia.org_all-access_spider',
'2000_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'2000_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
'2000_Summer_Olympics_medal_table_en.wikipedia.org_all-access_all-agents',
'2000_Summer_Olympics_medal_table_en.wikipedia.org_all-access_spider',
'2000_Summer_Olympics_medal_table_en.wikipedia.org_desktop_all-agents',
'2000_Summer_Olympics_medal_table_en.wikipedia.org_mobile-web_all-agents',
'2000年アメリカ合衆国大統領選挙_ja.wikipedia.org_desktop_all-agents',
'2000年中華民國總統選舉_zh.wikipedia.org_all-access_all-agents',
'2000年中華民國總統選舉_zh.wikipedia.org_all-access_spider',
'2000年中華民國總統選舉_zh.wikipedia.org_desktop_all-agents',
'2000年中華民國總統選舉_zh.wikipedia.org_mobile-web_all-agents',
"2001,_l'Odyssée_de_l'espace_fr.wikipedia.org_all-access_all-agents",
"2001,_l'Odyssée_de_l'espace_fr.wikipedia.org_all-access_spider",
"2001,_l'Odyssée_de_l'espace_fr.wikipedia.org_desktop_all-agents",
"2001,_l'Odyssée_de_l'espace_fr.wikipedia.org_mobile-web_all-agents",
'2001:_Odyssee_im_Weltraum_de.wikipedia.org_all-access_all-agents',
'2001:_Odyssee_im_Weltraum_de.wikipedia.org_all-access_spider',
'2001:_Odyssee_im_Weltraum_de.wikipedia.org_desktop_all-agents',
'2001:_Odyssee_im_Weltraum_de.wikipedia.org_mobile-web_all-agents',
'2001_ELMS_at_Jarama_en.wikipedia.org_all-access_all-agents',
'2001_term_United_States_Supreme_Court_opinions_of_Anthony_Kennedy_en.wikipedia.org_all-access_all-agents',
'2002_European_Judo_Championships_en.wikipedia.org_all-access_all-agents',
'2002_FIFA_World_Cup_en.wikipedia.org_all-access_all-agents',
'2002_FIFA_World_Cup_en.wikipedia.org_all-access_spider',
'2002_FIFA_World_Cup_en.wikipedia.org_desktop_all-agents',
'2002_Georgia_Southern_Eagles_football_team_en.wikipedia.org_all-access_all-agents',
'2002_Miami_Hurricanes_football_team_en.wikipedia.org_all-access_all-agents',
'2003_Boeing_727-223_disappearance_en.wikipedia.org_all-access_all-agents',
'2003_Boeing_727-223_disappearance_en.wikipedia.org_all-access_spider',
'2003_Boeing_727-223_disappearance_en.wikipedia.org_desktop_all-agents',
'2003_Boeing_727-223_disappearance_en.wikipedia.org_mobile-web_all-agents',
'2003_Tonga_Major_League_en.wikipedia.org_all-access_all-agents',
'2003_invasion_of_Iraq_en.wikipedia.org_desktop_all-agents',
'2004_Harvard–Yale_prank_en.wikipedia.org_all-access_all-agents',
'2004_Harvard–Yale_prank_en.wikipedia.org_all-access_spider',
'2004_Harvard–Yale_prank_en.wikipedia.org_desktop_all-agents',
'2004_Harvard–Yale_prank_en.wikipedia.org_mobile-web_all-agents',
'2004_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
'2004_Summer_Olympics_en.wikipedia.org_all-access_spider',
'2004_Summer_Olympics_en.wikipedia.org_desktop_all-agents',
'2004_Summer_Olympics_en.wikipedia.org_mobile-web_all-agents',
'2004_Summer_Olympics_medal_table_en.wikipedia.org_all-access_all-agents',
'2004_Summer_Olympics_medal_table_en.wikipedia.org_all-access_spider',
'2004_Summer_Olympics_medal_table_en.wikipedia.org_desktop_all-agents',
'2004_Summer_Olympics_medal_table_en.wikipedia.org_mobile-web_all-agents',
"2004_United_States_men's_Olympic_basketball_team_en.wikipedia.org_all-access_all-agents",
"2004_United_States_men's_Olympic_basketball_team_en.wikipedia.org_all-access_spider",
"2004_United_States_men's_Olympic_basketball_team_en.wikipedia.org_mobile-web_all-agents",
'2004年中華民國總統選舉_zh.wikipedia.org_all-access_all-agents',
'2004年中華民國總統選舉_zh.wikipedia.org_all-access_spider',
'2004年中華民國總統選舉_zh.wikipedia.org_desktop_all-agents',
'2004年中華民國總統選舉_zh.wikipedia.org_mobile-web_all-agents',
'2004年印度洋大地震_zh.wikipedia.org_all-access_all-agents',
'2004年印度洋大地震_zh.wikipedia.org_all-access_spider',
'2004年印度洋大地震_zh.wikipedia.org_desktop_all-agents',
'2004年夏季奥林匹克运动会_zh.wikipedia.org_all-access_all-agents',
'2004年夏季奥林匹克运动会_zh.wikipedia.org_all-access_spider',
'2004年夏季奥林匹克运动会_zh.wikipedia.org_desktop_all-agents',
'2004年夏季奥林匹克运动会_zh.wikipedia.org_mobile-web_all-agents',
'2005_HEW_Cyclassics_en.wikipedia.org_all-access_all-agents',
'2005_世界物理年_zh.wikipedia.org_all-access_all-agents',
'2005_世界物理年_zh.wikipedia.org_all-access_spider',
'2005_世界物理年_zh.wikipedia.org_desktop_all-agents',
'2005年中華民國國民大會代表選舉_zh.wikipedia.org_all-access_all-agents',
'2005年中華民國國民大會代表選舉_zh.wikipedia.org_all-access_spider',
'2005年中華民國國民大會代表選舉_zh.wikipedia.org_mobile-web_all-agents',
'2006_FIFA_World_Cup_en.wikipedia.org_all-access_all-agents',
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'2007_College_Baseball_All-America_Team_en.wikipedia.org_all-access_all-agents',
'2007_UNAF_U-17_Tournament_en.wikipedia.org_all-access_all-agents',
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"2008_IIHF_Men's_InLine_Hockey_World_Championship_en.wikipedia.org_all-access_all-agents",
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'2008_Summer_Olympics_en.wikipedia.org_all-access_all-agents',
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'2008_US_Open_Series_en.wikipedia.org_all-access_all-agents',
'2008_in_Maximum_Fighting_Championship_en.wikipedia.org_all-access_all-agents',
'2008年アメリカ合衆国大統領選挙_ja.wikipedia.org_desktop_all-agents',
'2008年中華民國立法委員選舉_zh.wikipedia.org_all-access_all-agents',
'2008年中華民國立法委員選舉_zh.wikipedia.org_all-access_spider',
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'2008年中華民國立法委員選舉_zh.wikipedia.org_mobile-web_all-agents',
'2008年中華民國總統選舉_zh.wikipedia.org_all-access_all-agents',
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'2008年中華民國總統選舉_zh.wikipedia.org_desktop_all-agents',
'2008年中華民國總統選舉_zh.wikipedia.org_mobile-web_all-agents',
'2008年夏季奥林匹克运动会_zh.wikipedia.org_all-access_all-agents',
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'2008年夏季奥林匹克运动会_zh.wikipedia.org_desktop_all-agents',
'2008年夏季奥林匹克运动会_zh.wikipedia.org_mobile-web_all-agents',
'2008年夏季奥林匹克运动会奖牌榜_zh.wikipedia.org_all-access_all-agents',
'2008年夏季奥林匹克运动会奖牌榜_zh.wikipedia.org_all-access_spider',
'2008年夏季奥林匹克运动会奖牌榜_zh.wikipedia.org_desktop_all-agents',
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'2009_European_U17_Badminton_Championships_en.wikipedia.org_all-access_all-agents',
'2009_Ulster_Senior_Football_Championship_en.wikipedia.org_all-access_all-agents',
'2009_southeast_Queensland_oil_spill_en.wikipedia.org_all-access_all-agents',
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'2010_Copiapó_mining_accident_en.wikipedia.org_mobile-web_all-agents',
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"2010_FIVB_Volleyball_Men's_World_Championship_squads_en.wikipedia.org_all-access_all-agents",
'2010_UCI_Road_World_Championships_en.wikipedia.org_all-access_all-agents',
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'2011年日本东北地方太平洋近海地震_zh.wikipedia.org_all-access_spider',
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'2011年日本东北地方太平洋近海地震_zh.wikipedia.org_mobile-web_all-agents',
'2011年金三角中国船员遇袭案_zh.wikipedia.org_all-access_all-agents',
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'2011年金三角中国船员遇袭案_zh.wikipedia.org_mobile-web_all-agents',
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'2012_(Film)_de.wikipedia.org_all-access_spider',
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'2012年夏季奥林匹克运动会奖牌榜_zh.wikipedia.org_all-access_all-agents',
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'2012年香港立法會選舉_zh.wikipedia.org_all-access_all-agents',
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'2013_CEMAC_Cup_en.wikipedia.org_all-access_all-agents',
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'2013_Southern_Illinois_Salukis_football_team_en.wikipedia.org_all-access_all-agents',
'2013_St_Helens_season_en.wikipedia.org_all-access_all-agents',
'2013年Running_Man節目列表_zh.wikipedia.org_all-access_all-agents',
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'2013年Running_Man節目列表_zh.wikipedia.org_mobile-web_all-agents',
'2013年波士頓馬拉松爆炸案_zh.wikipedia.org_all-access_all-agents',
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'2014年世界盃足球賽_zh.wikipedia.org_all-access_all-agents',
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'2014年中華民國地方公職人員選舉_zh.wikipedia.org_all-access_all-agents',
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'2014年中華民國直轄市長及縣市長選舉_zh.wikipedia.org_all-access_all-agents',
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'2014年台北捷運隨機殺人事件_zh.wikipedia.org_all-access_all-agents',
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'2014年臺北市長選舉爭議事件_zh.wikipedia.org_all-access_all-agents',
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'2014年韓国フェリー転覆事故_ja.wikipedia.org_all-access_all-agents',
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'2015-16_NBA赛季_zh.wikipedia.org_mobile-web_all-agents',
'2015_24_Hours_of_Le_Mans_en.wikipedia.org_desktop_all-agents',
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'2015_CFU_Club_Championship_en.wikipedia.org_all-access_all-agents',
'2015_College_Football_Playoff_National_Championship_en.wikipedia.org_mobile-web_all-agents',
'2015_Copa_América_en.wikipedia.org_all-access_all-agents',
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'2015_NBA_Finals_en.wikipedia.org_all-access_all-agents',
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"2015_NCAA_Men's_Division_I_Basketball_Tournament_en.wikipedia.org_all-access_all-agents",
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'2015–16_UEFA_Champions_League_en.wikipedia.org_all-access_all-agents',
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'2015–16_UEFA_Europa_League_en.wikipedia.org_desktop_all-agents',
'2015年Running_Man節目列表_zh.wikipedia.org_all-access_all-agents',
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'2015年Running_Man節目列表_zh.wikipedia.org_mobile-web_all-agents',
'2015年_ja.wikipedia.org_desktop_all-agents',
'2015年八仙樂園派對粉塵爆炸事故_zh.wikipedia.org_all-access_all-agents',
'2015年八仙樂園派對粉塵爆炸事故_zh.wikipedia.org_all-access_spider',
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'2015年度叱咤樂壇流行榜頒獎典禮得獎名單_zh.wikipedia.org_all-access_all-agents',
'2015年度叱咤樂壇流行榜頒獎典禮得獎名單_zh.wikipedia.org_all-access_spider',
'2015年度叱咤樂壇流行榜頒獎典禮得獎名單_zh.wikipedia.org_desktop_all-agents',
'2015年度叱咤樂壇流行榜頒獎典禮得獎名單_zh.wikipedia.org_mobile-web_all-agents',
'2015年度新人選手選択会議_(日本プロ野球)_ja.wikipedia.org_desktop_all-agents',
'2015年臺北市文化國小隨機殺人事件_zh.wikipedia.org_all-access_all-agents',
'2015年臺北市文化國小隨機殺人事件_zh.wikipedia.org_all-access_spider',
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'2015年華潔洗滌罷工事件_zh.wikipedia.org_all-access_all-agents',
'2015年華潔洗滌罷工事件_zh.wikipedia.org_all-access_spider',
'2015年華潔洗滌罷工事件_zh.wikipedia.org_desktop_all-agents',
'2015年電影列表_zh.wikipedia.org_all-access_all-agents',
'2015年電影列表_zh.wikipedia.org_all-access_spider',
'2015年電影列表_zh.wikipedia.org_desktop_all-agents',
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'2016_AFC_U-23_Championship_en.wikipedia.org_all-access_all-agents',
'2016_AFC_U-23_Championship_en.wikipedia.org_all-access_spider',
'2016_AFC_U-23_Championship_en.wikipedia.org_desktop_all-agents',
'2016_ATP_World_Tour_en.wikipedia.org_desktop_all-agents',
'2016_Africa_Women_Cup_of_Nations_en.wikipedia.org_mobile-web_all-agents',
'2016_African_Nations_Championship_en.wikipedia.org_all-access_all-agents',
'2016_African_Nations_Championship_en.wikipedia.org_all-access_spider',
'2016_African_Nations_Championship_en.wikipedia.org_mobile-web_all-agents',
'2016_Asia_Cup_en.wikipedia.org_all-access_all-agents',
'2016_Asia_Cup_en.wikipedia.org_all-access_spider',
'2016_Asia_Cup_en.wikipedia.org_desktop_all-agents',
'2016_Asia_Cup_en.wikipedia.org_mobile-web_all-agents',
'2016_Atlantic_hurricane_season_en.wikipedia.org_all-access_all-agents',
'2016_Atlantic_hurricane_season_en.wikipedia.org_all-access_spider',
'2016_Atlantic_hurricane_season_en.wikipedia.org_desktop_all-agents',
'2016_Atlantic_hurricane_season_en.wikipedia.org_mobile-web_all-agents',
'2016_Australian_Open_en.wikipedia.org_all-access_all-agents',
'2016_Australian_Open_en.wikipedia.org_all-access_spider',
'2016_Australian_Open_en.wikipedia.org_desktop_all-agents',
'2016_Australian_Open_en.wikipedia.org_mobile-web_all-agents',
"2016_Australian_Open_–_Men's_Singles_en.wikipedia.org_all-access_all-agents",
"2016_Australian_Open_–_Men's_Singles_en.wikipedia.org_all-access_spider",
"2016_Australian_Open_–_Men's_Singles_en.wikipedia.org_desktop_all-agents",
"2016_Australian_Open_–_Women's_Singles_en.wikipedia.org_all-access_all-agents",
"2016_Australian_Open_–_Women's_Singles_en.wikipedia.org_all-access_spider",
"2016_Australian_Open_–_Women's_Singles_en.wikipedia.org_desktop_all-agents",
'2016_Berlin_attack_en.wikipedia.org_all-access_all-agents',
'2016_Berlin_attack_en.wikipedia.org_all-access_spider',
'2016_Berlin_attack_en.wikipedia.org_desktop_all-agents',
'2016_Brown_Bears_football_team_en.wikipedia.org_all-access_all-agents',
'2016_Brussels_bombings_en.wikipedia.org_all-access_all-agents',
'2016_Brussels_bombings_en.wikipedia.org_all-access_spider',
...]
In [8]:
df_test.info() #可以發現到：8703780/145063 = 每一頁有60個Id，分別是從1/1~3/1的每日數據流量預測項目，上傳答案就是每日數據流量預測
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 8703780 entries, 0 to 8703779
Data columns (total 2 columns):
Page object
Id object
dtypes: object(2)
memory usage: 132.8+ MB
In [9]:
df_test
Out[9]:
Page
Id
0
!vote_en.wikipedia.org_all-access_all-agents_2...
bf4edcf969af
1
!vote_en.wikipedia.org_all-access_all-agents_2...
929ed2bf52b9
2
!vote_en.wikipedia.org_all-access_all-agents_2...
ff29d0f51d5c
3
!vote_en.wikipedia.org_all-access_all-agents_2...
e98873359be6
4
!vote_en.wikipedia.org_all-access_all-agents_2...
fa012434263a
5
!vote_en.wikipedia.org_all-access_all-agents_2...
48f1e93517a2
6
!vote_en.wikipedia.org_all-access_all-agents_2...
5def418fcb36
7
!vote_en.wikipedia.org_all-access_all-agents_2...
77bd08134351
8
!vote_en.wikipedia.org_all-access_all-agents_2...
5889e6dbb16f
9
!vote_en.wikipedia.org_all-access_all-agents_2...
5f21fef1d764
10
!vote_en.wikipedia.org_all-access_all-agents_2...
6f07e1b8815a
11
!vote_en.wikipedia.org_all-access_all-agents_2...
228e54b5dea0
12
!vote_en.wikipedia.org_all-access_all-agents_2...
da1b34963ed7
13
!vote_en.wikipedia.org_all-access_all-agents_2...
ab5ccefaa2db
14
!vote_en.wikipedia.org_all-access_all-agents_2...
cbf42873ebf1
15
!vote_en.wikipedia.org_all-access_all-agents_2...
ac67e35ed44e
16
!vote_en.wikipedia.org_all-access_all-agents_2...
88c098aa640d
17
!vote_en.wikipedia.org_all-access_all-agents_2...
7c72842a89d1
18
!vote_en.wikipedia.org_all-access_all-agents_2...
8ce002f2c329
19
!vote_en.wikipedia.org_all-access_all-agents_2...
5f72d9920560
20
!vote_en.wikipedia.org_all-access_all-agents_2...
f93afd7f5d9b
21
!vote_en.wikipedia.org_all-access_all-agents_2...
14011cb66f2d
22
!vote_en.wikipedia.org_all-access_all-agents_2...
0065551ac465
23
!vote_en.wikipedia.org_all-access_all-agents_2...
175f1872729e
24
!vote_en.wikipedia.org_all-access_all-agents_2...
31d756e83124
25
!vote_en.wikipedia.org_all-access_all-agents_2...
e186c2363c5e
26
!vote_en.wikipedia.org_all-access_all-agents_2...
3bce56c2b977
27
!vote_en.wikipedia.org_all-access_all-agents_2...
d497981dce77
28
!vote_en.wikipedia.org_all-access_all-agents_2...
c813cec10548
29
!vote_en.wikipedia.org_all-access_all-agents_2...
5123e0ed62c9
...
...
...
8703750
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
1fb8f902ad0f
8703751
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
0107f6d7cd82
8703752
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
30c402ed9e49
8703753
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
935fa0168d01
8703754
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
1140b428380e
8703755
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
cc5eadae0d7a
8703756
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
f923701cdb05
8703757
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
905679a20d39
8703758
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
642354a50690
8703759
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
7376c63bd4c1
8703760
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
1f0566b71f7e
8703761
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
938774bbb675
8703762
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
53c046bac8cb
8703763
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
ead2377353d3
8703764
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
efa87c7d5160
8703765
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
f239d6ceb17b
8703766
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
0fef0826b1bc
8703767
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
478d3c34b0c1
8703768
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
6a1b6e3028fc
8703769
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
3b5fb022accd
8703770
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
a4456a9d271d
8703771
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
d43a25cf4ef2
8703772
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
8f47d2e020cd
8703773
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
a78af728d84b
8703774
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
d1ba45c7ec08
8703775
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
f69747f5ee68
8703776
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
2489963dc503
8703777
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
b0624c909f4c
8703778
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
24a1dfb06c10
8703779
龙生九子_zh.wikipedia.org_mobile-web_all-agents_20...
add681d54216
8703780 rows × 2 columns
In [10]:
test_page_list = df_test['Page'].tolist()
In [11]:
test_page_list.sort() #排序page才方便跟test欄位比較
In [12]:
test_page_list #可以發現該有的欄位一模一樣
Out[12]:
['!vote_en.wikipedia.org_all-access_all-agents_2017-01-01',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-02',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-03',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-04',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-05',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-06',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-07',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-08',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-09',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-10',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-11',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-12',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-13',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-14',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-15',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-16',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-17',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-18',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-19',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-20',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-21',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-22',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-23',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-24',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-25',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-26',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-27',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-28',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-29',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-30',
'!vote_en.wikipedia.org_all-access_all-agents_2017-01-31',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-01',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-02',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-03',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-04',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-05',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-06',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-07',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-08',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-09',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-10',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-11',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-12',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-13',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-14',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-15',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-16',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-17',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-18',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-19',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-20',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-21',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-22',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-23',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-24',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-25',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-26',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-27',
'!vote_en.wikipedia.org_all-access_all-agents_2017-02-28',
'!vote_en.wikipedia.org_all-access_all-agents_2017-03-01',
'!vote_en.wikipedia.org_all-access_spider_2017-01-01',
'!vote_en.wikipedia.org_all-access_spider_2017-01-02',
'!vote_en.wikipedia.org_all-access_spider_2017-01-03',
'!vote_en.wikipedia.org_all-access_spider_2017-01-04',
'!vote_en.wikipedia.org_all-access_spider_2017-01-05',
'!vote_en.wikipedia.org_all-access_spider_2017-01-06',
'!vote_en.wikipedia.org_all-access_spider_2017-01-07',
'!vote_en.wikipedia.org_all-access_spider_2017-01-08',
'!vote_en.wikipedia.org_all-access_spider_2017-01-09',
'!vote_en.wikipedia.org_all-access_spider_2017-01-10',
'!vote_en.wikipedia.org_all-access_spider_2017-01-11',
'!vote_en.wikipedia.org_all-access_spider_2017-01-12',
'!vote_en.wikipedia.org_all-access_spider_2017-01-13',
'!vote_en.wikipedia.org_all-access_spider_2017-01-14',
'!vote_en.wikipedia.org_all-access_spider_2017-01-15',
'!vote_en.wikipedia.org_all-access_spider_2017-01-16',
'!vote_en.wikipedia.org_all-access_spider_2017-01-17',
'!vote_en.wikipedia.org_all-access_spider_2017-01-18',
'!vote_en.wikipedia.org_all-access_spider_2017-01-19',
'!vote_en.wikipedia.org_all-access_spider_2017-01-20',
'!vote_en.wikipedia.org_all-access_spider_2017-01-21',
'!vote_en.wikipedia.org_all-access_spider_2017-01-22',
'!vote_en.wikipedia.org_all-access_spider_2017-01-23',
'!vote_en.wikipedia.org_all-access_spider_2017-01-24',
'!vote_en.wikipedia.org_all-access_spider_2017-01-25',
'!vote_en.wikipedia.org_all-access_spider_2017-01-26',
'!vote_en.wikipedia.org_all-access_spider_2017-01-27',
'!vote_en.wikipedia.org_all-access_spider_2017-01-28',
'!vote_en.wikipedia.org_all-access_spider_2017-01-29',
'!vote_en.wikipedia.org_all-access_spider_2017-01-30',
'!vote_en.wikipedia.org_all-access_spider_2017-01-31',
'!vote_en.wikipedia.org_all-access_spider_2017-02-01',
'!vote_en.wikipedia.org_all-access_spider_2017-02-02',
'!vote_en.wikipedia.org_all-access_spider_2017-02-03',
'!vote_en.wikipedia.org_all-access_spider_2017-02-04',
'!vote_en.wikipedia.org_all-access_spider_2017-02-05',
'!vote_en.wikipedia.org_all-access_spider_2017-02-06',
'!vote_en.wikipedia.org_all-access_spider_2017-02-07',
'!vote_en.wikipedia.org_all-access_spider_2017-02-08',
'!vote_en.wikipedia.org_all-access_spider_2017-02-09',
'!vote_en.wikipedia.org_all-access_spider_2017-02-10',
'!vote_en.wikipedia.org_all-access_spider_2017-02-11',
'!vote_en.wikipedia.org_all-access_spider_2017-02-12',
'!vote_en.wikipedia.org_all-access_spider_2017-02-13',
'!vote_en.wikipedia.org_all-access_spider_2017-02-14',
'!vote_en.wikipedia.org_all-access_spider_2017-02-15',
'!vote_en.wikipedia.org_all-access_spider_2017-02-16',
'!vote_en.wikipedia.org_all-access_spider_2017-02-17',
'!vote_en.wikipedia.org_all-access_spider_2017-02-18',
'!vote_en.wikipedia.org_all-access_spider_2017-02-19',
'!vote_en.wikipedia.org_all-access_spider_2017-02-20',
'!vote_en.wikipedia.org_all-access_spider_2017-02-21',
'!vote_en.wikipedia.org_all-access_spider_2017-02-22',
'!vote_en.wikipedia.org_all-access_spider_2017-02-23',
'!vote_en.wikipedia.org_all-access_spider_2017-02-24',
'!vote_en.wikipedia.org_all-access_spider_2017-02-25',
'!vote_en.wikipedia.org_all-access_spider_2017-02-26',
'!vote_en.wikipedia.org_all-access_spider_2017-02-27',
'!vote_en.wikipedia.org_all-access_spider_2017-02-28',
'!vote_en.wikipedia.org_all-access_spider_2017-03-01',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-01',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-02',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-03',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-04',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-05',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-06',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-07',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-08',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-09',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-10',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-11',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-12',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-13',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-14',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-15',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-16',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-17',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-18',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-19',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-20',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-21',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-22',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-23',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-24',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-25',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-26',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-27',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-28',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-29',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-30',
'!vote_en.wikipedia.org_desktop_all-agents_2017-01-31',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-01',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-02',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-03',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-04',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-05',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-06',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-07',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-08',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-09',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-10',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-11',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-12',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-13',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-14',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-15',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-16',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-17',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-18',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-19',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-20',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-21',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-22',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-23',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-24',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-25',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-26',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-27',
'!vote_en.wikipedia.org_desktop_all-agents_2017-02-28',
'!vote_en.wikipedia.org_desktop_all-agents_2017-03-01',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-01',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-02',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-03',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-04',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-05',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-06',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-07',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-08',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-09',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-10',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-11',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-12',
'"Awaken,_My_Love!"_en.wikipedia.org_all-access_all-agents_2017-01-13',
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In [13]:
df_train_0_order = df_train_0.sort_values('Page') #排序好
In [14]:
df_train_0_order
Out[14]:
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龍千玉_zh.wikipedia.org_mobile-web_all-agents
0.0
0.0
0.0
0.0
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0.0
...
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30.0
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20.0
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28920
龍應台_zh.wikipedia.org_all-access_all-agents
217.0
252.0
225.0
203.0
206.0
211.0
224.0
219.0
212.0
...
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1502.0
715.0
660.0
670.0
580.0
570.0
441.0
371.0
325.0
972
龍應台_zh.wikipedia.org_all-access_spider
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2.0
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9.0
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9.0
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52.0
20.0
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19.0
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15.0
18.0
19.0
62211
龍應台_zh.wikipedia.org_desktop_all-agents
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169.0
148.0
128.0
135.0
149.0
174.0
165.0
152.0
...
1043.0
1117.0
493.0
441.0
448.0
397.0
364.0
289.0
234.0
193.0
107130
龍抬頭_zh.wikipedia.org_mobile-web_all-agents
3.0
0.0
4.0
3.0
19.0
5.0
2.0
3.0
2.0
...
7.0
7.0
6.0
5.0
10.0
23.0
12.0
10.0
10.0
16.0
29237
龍涎香_zh.wikipedia.org_all-access_all-agents
88.0
65.0
46.0
61.0
96.0
308.0
4705.0
862.0
135.0
...
114.0
96.0
98.0
121.0
95.0
324.0
220.0
99.0
90.0
77.0
1286
龍涎香_zh.wikipedia.org_all-access_spider
1.0
1.0
1.0
4.0
5.0
1.0
17.0
5.0
3.0
...
7.0
7.0
10.0
9.0
3.0
14.0
17.0
6.0
4.0
5.0
61849
龍涎香_zh.wikipedia.org_desktop_all-agents
58.0
46.0
29.0
32.0
51.0
140.0
1822.0
290.0
75.0
...
54.0
51.0
33.0
64.0
53.0
220.0
118.0
61.0
51.0
42.0
31445
龍珠超_zh.wikipedia.org_all-access_all-agents
0.0
0.0
0.0
0.0
0.0
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0.0
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...
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1405.0
1487.0
2581.0
1771.0
1543.0
1188.0
1054.0
1347.0
1292.0
3479
龍珠超_zh.wikipedia.org_all-access_spider
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0.0
0.0
0.0
0.0
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...
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215.0
137.0
221.0
113.0
107.0
48.0
31.0
188.0
113.0
64003
龍珠超_zh.wikipedia.org_desktop_all-agents
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0.0
0.0
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...
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1025.0
1029.0
1864.0
1265.0
1036.0
852.0
701.0
992.0
868.0
108638
龍珠超_zh.wikipedia.org_mobile-web_all-agents
0.0
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...
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447.0
710.0
495.0
498.0
331.0
349.0
348.0
419.0
30467
龐茲騙局_zh.wikipedia.org_all-access_all-agents
263.0
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371.0
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281.0
302.0
514.0
386.0
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...
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211.0
235.0
230.0
239.0
254.0
238.0
124.0
2503
龐茲騙局_zh.wikipedia.org_all-access_spider
5.0
12.0
1.0
10.0
11.0
3.0
3.0
5.0
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...
16.0
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16.0
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10.0
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63028
龐茲騙局_zh.wikipedia.org_desktop_all-agents
198.0
463.0
286.0
210.0
186.0
225.0
363.0
295.0
202.0
...
176.0
133.0
87.0
120.0
142.0
158.0
147.0
160.0
138.0
66.0
29887
龔嘉欣_zh.wikipedia.org_all-access_all-agents
294.0
397.0
486.0
416.0
431.0
404.0
389.0
366.0
373.0
...
706.0
600.0
703.0
570.0
654.0
569.0
484.0
507.0
377.0
616.0
1925
龔嘉欣_zh.wikipedia.org_all-access_spider
32.0
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...
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62487
龔嘉欣_zh.wikipedia.org_desktop_all-agents
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...
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275.0
200.0
267.0
107041
龔嘉欣_zh.wikipedia.org_mobile-web_all-agents
125.0
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...
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63079
龔照勝_zh.wikipedia.org_desktop_all-agents
10.0
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108083
龙生九子_zh.wikipedia.org_mobile-web_all-agents
95.0
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104.0
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...
284.0
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308.0
324.0
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455.0
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739.0
46228
대문_commons.wikimedia.org_all-access_all-agents
165.0
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...
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148.0
15739
대문_commons.wikimedia.org_all-access_spider
20.0
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53.0
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29.0
37.0
82846
대문_commons.wikimedia.org_desktop_all-agents
154.0
182.0
168.0
153.0
92.0
157.0
224.0
155.0
128.0
...
174.0
127.0
134.0
132.0
192.0
165.0
159.0
172.0
130.0
137.0
121217
［Alexandros］_ja.wikipedia.org_all-access_all-a...
5438.0
5966.0
5727.0
7036.0
7078.0
5009.0
4559.0
4544.0
4191.0
...
2645.0
3340.0
3299.0
3269.0
2838.0
3149.0
3268.0
4228.0
3585.0
4179.0
134478
［Alexandros］_ja.wikipedia.org_all-access_spider
4.0
4.0
3.0
6.0
9.0
4.0
9.0
7.0
5.0
...
198.0
250.0
198.0
226.0
180.0
193.0
233.0
277.0
226.0
287.0
87354
［Alexandros］_ja.wikipedia.org_desktop_all-agents
1077.0
1210.0
1080.0
1285.0
1296.0
1105.0
969.0
1004.0
985.0
...
734.0
771.0
790.0
850.0
762.0
804.0
805.0
904.0
786.0
761.0
58147
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
4345.0
4737.0
4633.0
5737.0
5765.0
3889.0
3579.0
3530.0
3199.0
...
1900.0
2559.0
2500.0
2409.0
2067.0
2336.0
2455.0
3302.0
2789.0
3410.0
145063 rows × 551 columns
In [15]:
df_test_order = df_test.sort_values('Page')
In [16]:
df_test_order
Out[16]:
Page
Id
0
!vote_en.wikipedia.org_all-access_all-agents_2...
bf4edcf969af
1
!vote_en.wikipedia.org_all-access_all-agents_2...
929ed2bf52b9
2
!vote_en.wikipedia.org_all-access_all-agents_2...
ff29d0f51d5c
3
!vote_en.wikipedia.org_all-access_all-agents_2...
e98873359be6
4
!vote_en.wikipedia.org_all-access_all-agents_2...
fa012434263a
5
!vote_en.wikipedia.org_all-access_all-agents_2...
48f1e93517a2
6
!vote_en.wikipedia.org_all-access_all-agents_2...
5def418fcb36
7
!vote_en.wikipedia.org_all-access_all-agents_2...
77bd08134351
8
!vote_en.wikipedia.org_all-access_all-agents_2...
5889e6dbb16f
9
!vote_en.wikipedia.org_all-access_all-agents_2...
5f21fef1d764
10
!vote_en.wikipedia.org_all-access_all-agents_2...
6f07e1b8815a
11
!vote_en.wikipedia.org_all-access_all-agents_2...
228e54b5dea0
12
!vote_en.wikipedia.org_all-access_all-agents_2...
da1b34963ed7
13
!vote_en.wikipedia.org_all-access_all-agents_2...
ab5ccefaa2db
14
!vote_en.wikipedia.org_all-access_all-agents_2...
cbf42873ebf1
15
!vote_en.wikipedia.org_all-access_all-agents_2...
ac67e35ed44e
16
!vote_en.wikipedia.org_all-access_all-agents_2...
88c098aa640d
17
!vote_en.wikipedia.org_all-access_all-agents_2...
7c72842a89d1
18
!vote_en.wikipedia.org_all-access_all-agents_2...
8ce002f2c329
19
!vote_en.wikipedia.org_all-access_all-agents_2...
5f72d9920560
20
!vote_en.wikipedia.org_all-access_all-agents_2...
f93afd7f5d9b
21
!vote_en.wikipedia.org_all-access_all-agents_2...
14011cb66f2d
22
!vote_en.wikipedia.org_all-access_all-agents_2...
0065551ac465
23
!vote_en.wikipedia.org_all-access_all-agents_2...
175f1872729e
24
!vote_en.wikipedia.org_all-access_all-agents_2...
31d756e83124
25
!vote_en.wikipedia.org_all-access_all-agents_2...
e186c2363c5e
26
!vote_en.wikipedia.org_all-access_all-agents_2...
3bce56c2b977
27
!vote_en.wikipedia.org_all-access_all-agents_2...
d497981dce77
28
!vote_en.wikipedia.org_all-access_all-agents_2...
c813cec10548
29
!vote_en.wikipedia.org_all-access_all-agents_2...
5123e0ed62c9
...
...
...
3330
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
a49077fb4250
3331
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
b41e15bdce94
3332
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
20befbc08a48
3333
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
aed89c02c2bf
3334
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
752fa508765f
3335
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
b87fa58711d4
3336
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
babdf0ab9c17
3337
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
a31ff39e65b2
3338
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
f6f755a4784f
3339
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
07373bc81000
3340
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
1a716410ef10
3341
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
1c981138b1d0
3342
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
835e9921004f
3343
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
e80d82f38da3
3344
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
c5eb03cebdf0
3345
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
7abc0d37b8df
3346
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
e27c1d7bca11
3347
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
07a407b27394
3348
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
43f0e83c0d8f
3349
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
7ff0d300f855
3350
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
fec442127f20
3351
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
9cab502f0c43
3352
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
f8c721fdecde
3353
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
5837c7aa7bba
3354
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
857c39e7e7ea
3355
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
4424f444c1e4
3356
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
c1c570aa56ff
3357
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
b00b33e14c90
3358
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
20f0042d160c
3359
［Alexandros］_ja.wikipedia.org_mobile-web_all-a...
75133adcc863
8703780 rows × 2 columns
In [17]:
df_ans.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 8703780 entries, 0 to 8703779
Data columns (total 2 columns):
Id object
Visits int64
dtypes: int64(1), object(1)
memory usage: 132.8+ MB
In [17]:
df_ans
#不過有個問題是這個Id可是沒有排序過的呢
#到時候按照page_list_order填上答案之後，在使用col=0的那一欄數字重新排位正確答案順序吧～
Out[17]:
Id
Visits
0
bf4edcf969af
0
1
929ed2bf52b9
0
2
ff29d0f51d5c
0
3
e98873359be6
0
4
fa012434263a
0
5
48f1e93517a2
0
6
5def418fcb36
0
7
77bd08134351
0
8
5889e6dbb16f
0
9
5f21fef1d764
0
10
6f07e1b8815a
0
11
228e54b5dea0
0
12
da1b34963ed7
0
13
ab5ccefaa2db
0
14
cbf42873ebf1
0
15
ac67e35ed44e
0
16
88c098aa640d
0
17
7c72842a89d1
0
18
8ce002f2c329
0
19
5f72d9920560
0
20
f93afd7f5d9b
0
21
14011cb66f2d
0
22
0065551ac465
0
23
175f1872729e
0
24
31d756e83124
0
25
e186c2363c5e
0
26
3bce56c2b977
0
27
d497981dce77
0
28
c813cec10548
0
29
5123e0ed62c9
0
...
...
...
8703750
1fb8f902ad0f
0
8703751
0107f6d7cd82
0
8703752
30c402ed9e49
0
8703753
935fa0168d01
0
8703754
1140b428380e
0
8703755
cc5eadae0d7a
0
8703756
f923701cdb05
0
8703757
905679a20d39
0
8703758
642354a50690
0
8703759
7376c63bd4c1
0
8703760
1f0566b71f7e
0
8703761
938774bbb675
0
8703762
53c046bac8cb
0
8703763
ead2377353d3
0
8703764
efa87c7d5160
0
8703765
f239d6ceb17b
0
8703766
0fef0826b1bc
0
8703767
478d3c34b0c1
0
8703768
6a1b6e3028fc
0
8703769
3b5fb022accd
0
8703770
a4456a9d271d
0
8703771
d43a25cf4ef2
0
8703772
8f47d2e020cd
0
8703773
a78af728d84b
0
8703774
d1ba45c7ec08
0
8703775
f69747f5ee68
0
8703776
2489963dc503
0
8703777
b0624c909f4c
0
8703778
24a1dfb06c10
0
8703779
add681d54216
0
8703780 rows × 2 columns
In [18]:
list_train_order_value = df_train_0_order.values[:,1:] #除掉page那個欄位，取得純數字
In [19]:
list_train_order_value
Out[19]:
array([[3.0, 4.0, 7.0, ..., 3.0, 1.0, 1.0],
[0.0, 0.0, 1.0, ..., 1.0, 1.0, 0.0],
[3.0, 4.0, 7.0, ..., 3.0, 1.0, 0.0],
...,
[4.0, 4.0, 3.0, ..., 277.0, 226.0, 287.0],
[1077.0, 1210.0, 1080.0, ..., 904.0, 786.0, 761.0],
[4345.0, 4737.0, 4633.0, ..., 3302.0, 2789.0, 3410.0]], dtype=object)
In [24]:
list_train_order_value = list_train_order_value.astype(int)
In [25]:
list_train_order_value
Out[25]:
array([[ 3, 4, 7, ..., 3, 1, 1],
[ 0, 0, 1, ..., 1, 1, 0],
[ 3, 4, 7, ..., 3, 1, 0],
...,
[ 4, 4, 3, ..., 277, 226, 287],
[1077, 1210, 1080, ..., 904, 786, 761],
[4345, 4737, 4633, ..., 3302, 2789, 3410]])
In [32]:
page_data = list_train_order_value[0]
In [35]:
page_data
Out[35]:
array([ 3, 4, 7, 4, 4, 2, 3, 7, 2, 0, 3, 1, 2, 2, 3, 2, 1,
1, 1, 0, 6, 8, 5, 1, 2, 1, 2, 10, 4, 6, 4, 2, 1, 4,
1, 2, 0, 0, 1, 0, 2, 3, 3, 1, 3, 3, 4, 1, 0, 3, 3,
7, 4, 6, 14, 6, 5, 4, 7, 3, 2, 1, 3, 3, 2, 1, 1, 4,
6, 3, 1, 3, 1, 3, 3, 1, 4, 4, 4, 5, 1, 3, 6, 3, 2,
4, 4, 3, 3, 3, 2, 1, 0, 4, 7, 0, 6, 2, 2, 3, 2, 1,
3, 1, 2, 1, 1, 4, 1, 6, 5, 3, 3, 9, 4, 6, 7, 8, 2,
2, 4, 8, 6, 5, 5, 4, 2, 3, 5, 8, 7, 4, 10, 4, 1, 1,
2, 14, 2, 4, 0, 5, 8, 9, 3, 4, 3, 5, 3, 3, 3, 1, 2,
2, 2, 5, 2, 2, 1, 2, 2, 9, 3, 4, 4, 0, 4, 1, 3, 4,
0, 3, 3, 1, 1, 2, 6, 4, 4, 10, 2, 4, 0, 3, 3, 2, 2,
2, 3, 1, 1, 1, 4, 3, 0, 1, 2, 3, 2, 1, 1, 2, 2, 2,
1, 2, 4, 2, 8, 4, 5, 6, 3, 4, 2, 9, 1, 11, 4, 2, 3,
3, 1, 3, 2, 3, 1, 1, 1, 3, 3, 2, 4, 3, 1, 2, 1, 3,
1, 4, 5, 4, 4, 0, 1, 4, 6, 5, 3, 5, 4, 6, 0, 3, 1,
1, 2, 3, 3, 8, 6, 4, 13, 1, 12, 2, 9, 3, 8, 3, 3, 4,
6, 4, 1, 33, 22, 3, 3, 8, 1, 4, 4, 6, 2, 4, 1, 2, 4,
3, 3, 4, 2, 2, 1, 4, 2, 4, 4, 4, 3, 3, 3, 4, 3, 2,
1, 0, 0, 2, 1, 4, 2, 2, 1, 3, 3, 3, 2, 2, 3, 1, 7,
1, 4, 1, 2, 6, 6, 1, 3, 3, 4, 5, 2, 3, 3, 5, 10, 4,
1, 6, 3, 3, 4, 3, 2, 2, 6, 0, 9, 2, 1, 5, 5, 5, 4,
2, 6, 4, 1, 2, 2, 3, 3, 5, 5, 1, 3, 3, 3, 4, 2, 7,
2, 0, 1, 2, 3, 2, 3, 2, 2, 2, 3, 3, 5, 1, 1, 10, 1,
3, 6, 9, 3, 2, 1, 4, 8, 13, 3, 1, 6, 2, 3, 0, 4, 4,
1, 1, 0, 4, 9, 1, 2, 3, 4, 3, 4, 2, 3, 8, 4, 3, 4,
6, 2, 2, 9, 3, 3, 6, 3, 3, 4, 0, 2, 5, 1, 3, 3, 2,
5, 1, 3, 5, 2, 5, 0, 3, 3, 1, 2, 7, 5, 2, 11, 3, 3,
11, 7, 2, 5, 3, 1, 3, 4, 4, 1, 1, 3, 1, 1, 5, 3, 5,
2, 15, 1, 5, 4, 5, 2, 2, 2, 5, 6, 3, 7, 1, 5, 4, 4,
8, 5, 6, 6, 4, 4, 4, 2, 2, 4, 8, 3, 2, 1, 4, 3, 3,
2, 2, 4, 2, 5, 4, 6, 7, 6, 1, 3, 3, 2, 2, 2, 1, 2,
0, 2, 2, 3, 1, 2, 5, 3, 3, 2, 1, 3, 2, 3, 1, 6, 3,
1, 1, 4, 3, 1, 1])
In [38]:
page_data.shape
Out[38]:
(550,)
In [52]:
page_data_label = page_data[10:]
In [53]:
page_data_label.shape
Out[53]:
(540,)
In [65]:
train_feature = []
for i in range(540):
train_feature.append(page_data[i:i+10])
In [66]:
train_feature
Out[66]:
[array([3, 4, 7, 4, 4, 2, 3, 7, 2, 0]),
array([4, 7, 4, 4, 2, 3, 7, 2, 0, 3]),
array([7, 4, 4, 2, 3, 7, 2, 0, 3, 1]),
array([4, 4, 2, 3, 7, 2, 0, 3, 1, 2]),
array([4, 2, 3, 7, 2, 0, 3, 1, 2, 2]),
array([2, 3, 7, 2, 0, 3, 1, 2, 2, 3]),
array([3, 7, 2, 0, 3, 1, 2, 2, 3, 2]),
array([7, 2, 0, 3, 1, 2, 2, 3, 2, 1]),
array([2, 0, 3, 1, 2, 2, 3, 2, 1, 1]),
array([0, 3, 1, 2, 2, 3, 2, 1, 1, 1]),
array([3, 1, 2, 2, 3, 2, 1, 1, 1, 0]),
array([1, 2, 2, 3, 2, 1, 1, 1, 0, 6]),
array([2, 2, 3, 2, 1, 1, 1, 0, 6, 8]),
array([2, 3, 2, 1, 1, 1, 0, 6, 8, 5]),
array([3, 2, 1, 1, 1, 0, 6, 8, 5, 1]),
array([2, 1, 1, 1, 0, 6, 8, 5, 1, 2]),
array([1, 1, 1, 0, 6, 8, 5, 1, 2, 1]),
array([1, 1, 0, 6, 8, 5, 1, 2, 1, 2]),
array([ 1, 0, 6, 8, 5, 1, 2, 1, 2, 10]),
array([ 0, 6, 8, 5, 1, 2, 1, 2, 10, 4]),
array([ 6, 8, 5, 1, 2, 1, 2, 10, 4, 6]),
array([ 8, 5, 1, 2, 1, 2, 10, 4, 6, 4]),
array([ 5, 1, 2, 1, 2, 10, 4, 6, 4, 2]),
array([ 1, 2, 1, 2, 10, 4, 6, 4, 2, 1]),
array([ 2, 1, 2, 10, 4, 6, 4, 2, 1, 4]),
array([ 1, 2, 10, 4, 6, 4, 2, 1, 4, 1]),
array([ 2, 10, 4, 6, 4, 2, 1, 4, 1, 2]),
array([10, 4, 6, 4, 2, 1, 4, 1, 2, 0]),
array([4, 6, 4, 2, 1, 4, 1, 2, 0, 0]),
array([6, 4, 2, 1, 4, 1, 2, 0, 0, 1]),
array([4, 2, 1, 4, 1, 2, 0, 0, 1, 0]),
array([2, 1, 4, 1, 2, 0, 0, 1, 0, 2]),
array([1, 4, 1, 2, 0, 0, 1, 0, 2, 3]),
array([4, 1, 2, 0, 0, 1, 0, 2, 3, 3]),
array([1, 2, 0, 0, 1, 0, 2, 3, 3, 1]),
array([2, 0, 0, 1, 0, 2, 3, 3, 1, 3]),
array([0, 0, 1, 0, 2, 3, 3, 1, 3, 3]),
array([0, 1, 0, 2, 3, 3, 1, 3, 3, 4]),
array([1, 0, 2, 3, 3, 1, 3, 3, 4, 1]),
array([0, 2, 3, 3, 1, 3, 3, 4, 1, 0]),
array([2, 3, 3, 1, 3, 3, 4, 1, 0, 3]),
array([3, 3, 1, 3, 3, 4, 1, 0, 3, 3]),
array([3, 1, 3, 3, 4, 1, 0, 3, 3, 7]),
array([1, 3, 3, 4, 1, 0, 3, 3, 7, 4]),
array([3, 3, 4, 1, 0, 3, 3, 7, 4, 6]),
array([ 3, 4, 1, 0, 3, 3, 7, 4, 6, 14]),
array([ 4, 1, 0, 3, 3, 7, 4, 6, 14, 6]),
array([ 1, 0, 3, 3, 7, 4, 6, 14, 6, 5]),
array([ 0, 3, 3, 7, 4, 6, 14, 6, 5, 4]),
array([ 3, 3, 7, 4, 6, 14, 6, 5, 4, 7]),
array([ 3, 7, 4, 6, 14, 6, 5, 4, 7, 3]),
array([ 7, 4, 6, 14, 6, 5, 4, 7, 3, 2]),
array([ 4, 6, 14, 6, 5, 4, 7, 3, 2, 1]),
array([ 6, 14, 6, 5, 4, 7, 3, 2, 1, 3]),
array([14, 6, 5, 4, 7, 3, 2, 1, 3, 3]),
array([6, 5, 4, 7, 3, 2, 1, 3, 3, 2]),
array([5, 4, 7, 3, 2, 1, 3, 3, 2, 1]),
array([4, 7, 3, 2, 1, 3, 3, 2, 1, 1]),
array([7, 3, 2, 1, 3, 3, 2, 1, 1, 4]),
array([3, 2, 1, 3, 3, 2, 1, 1, 4, 6]),
array([2, 1, 3, 3, 2, 1, 1, 4, 6, 3]),
array([1, 3, 3, 2, 1, 1, 4, 6, 3, 1]),
array([3, 3, 2, 1, 1, 4, 6, 3, 1, 3]),
array([3, 2, 1, 1, 4, 6, 3, 1, 3, 1]),
array([2, 1, 1, 4, 6, 3, 1, 3, 1, 3]),
array([1, 1, 4, 6, 3, 1, 3, 1, 3, 3]),
array([1, 4, 6, 3, 1, 3, 1, 3, 3, 1]),
array([4, 6, 3, 1, 3, 1, 3, 3, 1, 4]),
array([6, 3, 1, 3, 1, 3, 3, 1, 4, 4]),
array([3, 1, 3, 1, 3, 3, 1, 4, 4, 4]),
array([1, 3, 1, 3, 3, 1, 4, 4, 4, 5]),
array([3, 1, 3, 3, 1, 4, 4, 4, 5, 1]),
array([1, 3, 3, 1, 4, 4, 4, 5, 1, 3]),
array([3, 3, 1, 4, 4, 4, 5, 1, 3, 6]),
array([3, 1, 4, 4, 4, 5, 1, 3, 6, 3]),
array([1, 4, 4, 4, 5, 1, 3, 6, 3, 2]),
array([4, 4, 4, 5, 1, 3, 6, 3, 2, 4]),
array([4, 4, 5, 1, 3, 6, 3, 2, 4, 4]),
array([4, 5, 1, 3, 6, 3, 2, 4, 4, 3]),
array([5, 1, 3, 6, 3, 2, 4, 4, 3, 3]),
array([1, 3, 6, 3, 2, 4, 4, 3, 3, 3]),
array([3, 6, 3, 2, 4, 4, 3, 3, 3, 2]),
array([6, 3, 2, 4, 4, 3, 3, 3, 2, 1]),
array([3, 2, 4, 4, 3, 3, 3, 2, 1, 0]),
array([2, 4, 4, 3, 3, 3, 2, 1, 0, 4]),
array([4, 4, 3, 3, 3, 2, 1, 0, 4, 7]),
array([4, 3, 3, 3, 2, 1, 0, 4, 7, 0]),
array([3, 3, 3, 2, 1, 0, 4, 7, 0, 6]),
array([3, 3, 2, 1, 0, 4, 7, 0, 6, 2]),
array([3, 2, 1, 0, 4, 7, 0, 6, 2, 2]),
array([2, 1, 0, 4, 7, 0, 6, 2, 2, 3]),
array([1, 0, 4, 7, 0, 6, 2, 2, 3, 2]),
array([0, 4, 7, 0, 6, 2, 2, 3, 2, 1]),
array([4, 7, 0, 6, 2, 2, 3, 2, 1, 3]),
array([7, 0, 6, 2, 2, 3, 2, 1, 3, 1]),
array([0, 6, 2, 2, 3, 2, 1, 3, 1, 2]),
array([6, 2, 2, 3, 2, 1, 3, 1, 2, 1]),
array([2, 2, 3, 2, 1, 3, 1, 2, 1, 1]),
array([2, 3, 2, 1, 3, 1, 2, 1, 1, 4]),
array([3, 2, 1, 3, 1, 2, 1, 1, 4, 1]),
array([2, 1, 3, 1, 2, 1, 1, 4, 1, 6]),
array([1, 3, 1, 2, 1, 1, 4, 1, 6, 5]),
array([3, 1, 2, 1, 1, 4, 1, 6, 5, 3]),
array([1, 2, 1, 1, 4, 1, 6, 5, 3, 3]),
array([2, 1, 1, 4, 1, 6, 5, 3, 3, 9]),
array([1, 1, 4, 1, 6, 5, 3, 3, 9, 4]),
array([1, 4, 1, 6, 5, 3, 3, 9, 4, 6]),
array([4, 1, 6, 5, 3, 3, 9, 4, 6, 7]),
array([1, 6, 5, 3, 3, 9, 4, 6, 7, 8]),
array([6, 5, 3, 3, 9, 4, 6, 7, 8, 2]),
array([5, 3, 3, 9, 4, 6, 7, 8, 2, 2]),
array([3, 3, 9, 4, 6, 7, 8, 2, 2, 4]),
array([3, 9, 4, 6, 7, 8, 2, 2, 4, 8]),
array([9, 4, 6, 7, 8, 2, 2, 4, 8, 6]),
array([4, 6, 7, 8, 2, 2, 4, 8, 6, 5]),
array([6, 7, 8, 2, 2, 4, 8, 6, 5, 5]),
array([7, 8, 2, 2, 4, 8, 6, 5, 5, 4]),
array([8, 2, 2, 4, 8, 6, 5, 5, 4, 2]),
array([2, 2, 4, 8, 6, 5, 5, 4, 2, 3]),
array([2, 4, 8, 6, 5, 5, 4, 2, 3, 5]),
array([4, 8, 6, 5, 5, 4, 2, 3, 5, 8]),
array([8, 6, 5, 5, 4, 2, 3, 5, 8, 7]),
array([6, 5, 5, 4, 2, 3, 5, 8, 7, 4]),
array([ 5, 5, 4, 2, 3, 5, 8, 7, 4, 10]),
array([ 5, 4, 2, 3, 5, 8, 7, 4, 10, 4]),
array([ 4, 2, 3, 5, 8, 7, 4, 10, 4, 1]),
array([ 2, 3, 5, 8, 7, 4, 10, 4, 1, 1]),
array([ 3, 5, 8, 7, 4, 10, 4, 1, 1, 2]),
array([ 5, 8, 7, 4, 10, 4, 1, 1, 2, 14]),
array([ 8, 7, 4, 10, 4, 1, 1, 2, 14, 2]),
array([ 7, 4, 10, 4, 1, 1, 2, 14, 2, 4]),
array([ 4, 10, 4, 1, 1, 2, 14, 2, 4, 0]),
array([10, 4, 1, 1, 2, 14, 2, 4, 0, 5]),
array([ 4, 1, 1, 2, 14, 2, 4, 0, 5, 8]),
array([ 1, 1, 2, 14, 2, 4, 0, 5, 8, 9]),
array([ 1, 2, 14, 2, 4, 0, 5, 8, 9, 3]),
array([ 2, 14, 2, 4, 0, 5, 8, 9, 3, 4]),
array([14, 2, 4, 0, 5, 8, 9, 3, 4, 3]),
array([2, 4, 0, 5, 8, 9, 3, 4, 3, 5]),
array([4, 0, 5, 8, 9, 3, 4, 3, 5, 3]),
array([0, 5, 8, 9, 3, 4, 3, 5, 3, 3]),
array([5, 8, 9, 3, 4, 3, 5, 3, 3, 3]),
array([8, 9, 3, 4, 3, 5, 3, 3, 3, 1]),
array([9, 3, 4, 3, 5, 3, 3, 3, 1, 2]),
array([3, 4, 3, 5, 3, 3, 3, 1, 2, 2]),
array([4, 3, 5, 3, 3, 3, 1, 2, 2, 2]),
array([3, 5, 3, 3, 3, 1, 2, 2, 2, 5]),
array([5, 3, 3, 3, 1, 2, 2, 2, 5, 2]),
array([3, 3, 3, 1, 2, 2, 2, 5, 2, 2]),
array([3, 3, 1, 2, 2, 2, 5, 2, 2, 1]),
array([3, 1, 2, 2, 2, 5, 2, 2, 1, 2]),
array([1, 2, 2, 2, 5, 2, 2, 1, 2, 2]),
array([2, 2, 2, 5, 2, 2, 1, 2, 2, 9]),
array([2, 2, 5, 2, 2, 1, 2, 2, 9, 3]),
array([2, 5, 2, 2, 1, 2, 2, 9, 3, 4]),
array([5, 2, 2, 1, 2, 2, 9, 3, 4, 4]),
array([2, 2, 1, 2, 2, 9, 3, 4, 4, 0]),
array([2, 1, 2, 2, 9, 3, 4, 4, 0, 4]),
array([1, 2, 2, 9, 3, 4, 4, 0, 4, 1]),
array([2, 2, 9, 3, 4, 4, 0, 4, 1, 3]),
array([2, 9, 3, 4, 4, 0, 4, 1, 3, 4]),
array([9, 3, 4, 4, 0, 4, 1, 3, 4, 0]),
array([3, 4, 4, 0, 4, 1, 3, 4, 0, 3]),
array([4, 4, 0, 4, 1, 3, 4, 0, 3, 3]),
array([4, 0, 4, 1, 3, 4, 0, 3, 3, 1]),
array([0, 4, 1, 3, 4, 0, 3, 3, 1, 1]),
array([4, 1, 3, 4, 0, 3, 3, 1, 1, 2]),
array([1, 3, 4, 0, 3, 3, 1, 1, 2, 6]),
array([3, 4, 0, 3, 3, 1, 1, 2, 6, 4]),
array([4, 0, 3, 3, 1, 1, 2, 6, 4, 4]),
array([ 0, 3, 3, 1, 1, 2, 6, 4, 4, 10]),
array([ 3, 3, 1, 1, 2, 6, 4, 4, 10, 2]),
array([ 3, 1, 1, 2, 6, 4, 4, 10, 2, 4]),
array([ 1, 1, 2, 6, 4, 4, 10, 2, 4, 0]),
array([ 1, 2, 6, 4, 4, 10, 2, 4, 0, 3]),
array([ 2, 6, 4, 4, 10, 2, 4, 0, 3, 3]),
array([ 6, 4, 4, 10, 2, 4, 0, 3, 3, 2]),
array([ 4, 4, 10, 2, 4, 0, 3, 3, 2, 2]),
array([ 4, 10, 2, 4, 0, 3, 3, 2, 2, 2]),
array([10, 2, 4, 0, 3, 3, 2, 2, 2, 3]),
array([2, 4, 0, 3, 3, 2, 2, 2, 3, 1]),
array([4, 0, 3, 3, 2, 2, 2, 3, 1, 1]),
array([0, 3, 3, 2, 2, 2, 3, 1, 1, 1]),
array([3, 3, 2, 2, 2, 3, 1, 1, 1, 4]),
array([3, 2, 2, 2, 3, 1, 1, 1, 4, 3]),
array([2, 2, 2, 3, 1, 1, 1, 4, 3, 0]),
array([2, 2, 3, 1, 1, 1, 4, 3, 0, 1]),
array([2, 3, 1, 1, 1, 4, 3, 0, 1, 2]),
array([3, 1, 1, 1, 4, 3, 0, 1, 2, 3]),
array([1, 1, 1, 4, 3, 0, 1, 2, 3, 2]),
array([1, 1, 4, 3, 0, 1, 2, 3, 2, 1]),
array([1, 4, 3, 0, 1, 2, 3, 2, 1, 1]),
array([4, 3, 0, 1, 2, 3, 2, 1, 1, 2]),
array([3, 0, 1, 2, 3, 2, 1, 1, 2, 2]),
array([0, 1, 2, 3, 2, 1, 1, 2, 2, 2]),
array([1, 2, 3, 2, 1, 1, 2, 2, 2, 1]),
array([2, 3, 2, 1, 1, 2, 2, 2, 1, 2]),
array([3, 2, 1, 1, 2, 2, 2, 1, 2, 4]),
array([2, 1, 1, 2, 2, 2, 1, 2, 4, 2]),
array([1, 1, 2, 2, 2, 1, 2, 4, 2, 8]),
array([1, 2, 2, 2, 1, 2, 4, 2, 8, 4]),
array([2, 2, 2, 1, 2, 4, 2, 8, 4, 5]),
array([2, 2, 1, 2, 4, 2, 8, 4, 5, 6]),
array([2, 1, 2, 4, 2, 8, 4, 5, 6, 3]),
array([1, 2, 4, 2, 8, 4, 5, 6, 3, 4]),
array([2, 4, 2, 8, 4, 5, 6, 3, 4, 2]),
array([4, 2, 8, 4, 5, 6, 3, 4, 2, 9]),
array([2, 8, 4, 5, 6, 3, 4, 2, 9, 1]),
array([ 8, 4, 5, 6, 3, 4, 2, 9, 1, 11]),
array([ 4, 5, 6, 3, 4, 2, 9, 1, 11, 4]),
array([ 5, 6, 3, 4, 2, 9, 1, 11, 4, 2]),
array([ 6, 3, 4, 2, 9, 1, 11, 4, 2, 3]),
array([ 3, 4, 2, 9, 1, 11, 4, 2, 3, 3]),
array([ 4, 2, 9, 1, 11, 4, 2, 3, 3, 1]),
array([ 2, 9, 1, 11, 4, 2, 3, 3, 1, 3]),
array([ 9, 1, 11, 4, 2, 3, 3, 1, 3, 2]),
array([ 1, 11, 4, 2, 3, 3, 1, 3, 2, 3]),
array([11, 4, 2, 3, 3, 1, 3, 2, 3, 1]),
array([4, 2, 3, 3, 1, 3, 2, 3, 1, 1]),
array([2, 3, 3, 1, 3, 2, 3, 1, 1, 1]),
array([3, 3, 1, 3, 2, 3, 1, 1, 1, 3]),
array([3, 1, 3, 2, 3, 1, 1, 1, 3, 3]),
array([1, 3, 2, 3, 1, 1, 1, 3, 3, 2]),
array([3, 2, 3, 1, 1, 1, 3, 3, 2, 4]),
array([2, 3, 1, 1, 1, 3, 3, 2, 4, 3]),
array([3, 1, 1, 1, 3, 3, 2, 4, 3, 1]),
array([1, 1, 1, 3, 3, 2, 4, 3, 1, 2]),
array([1, 1, 3, 3, 2, 4, 3, 1, 2, 1]),
array([1, 3, 3, 2, 4, 3, 1, 2, 1, 3]),
array([3, 3, 2, 4, 3, 1, 2, 1, 3, 1]),
array([3, 2, 4, 3, 1, 2, 1, 3, 1, 4]),
array([2, 4, 3, 1, 2, 1, 3, 1, 4, 5]),
array([4, 3, 1, 2, 1, 3, 1, 4, 5, 4]),
array([3, 1, 2, 1, 3, 1, 4, 5, 4, 4]),
array([1, 2, 1, 3, 1, 4, 5, 4, 4, 0]),
array([2, 1, 3, 1, 4, 5, 4, 4, 0, 1]),
array([1, 3, 1, 4, 5, 4, 4, 0, 1, 4]),
array([3, 1, 4, 5, 4, 4, 0, 1, 4, 6]),
array([1, 4, 5, 4, 4, 0, 1, 4, 6, 5]),
array([4, 5, 4, 4, 0, 1, 4, 6, 5, 3]),
array([5, 4, 4, 0, 1, 4, 6, 5, 3, 5]),
array([4, 4, 0, 1, 4, 6, 5, 3, 5, 4]),
array([4, 0, 1, 4, 6, 5, 3, 5, 4, 6]),
array([0, 1, 4, 6, 5, 3, 5, 4, 6, 0]),
array([1, 4, 6, 5, 3, 5, 4, 6, 0, 3]),
array([4, 6, 5, 3, 5, 4, 6, 0, 3, 1]),
array([6, 5, 3, 5, 4, 6, 0, 3, 1, 1]),
array([5, 3, 5, 4, 6, 0, 3, 1, 1, 2]),
array([3, 5, 4, 6, 0, 3, 1, 1, 2, 3]),
array([5, 4, 6, 0, 3, 1, 1, 2, 3, 3]),
array([4, 6, 0, 3, 1, 1, 2, 3, 3, 8]),
array([6, 0, 3, 1, 1, 2, 3, 3, 8, 6]),
array([0, 3, 1, 1, 2, 3, 3, 8, 6, 4]),
array([ 3, 1, 1, 2, 3, 3, 8, 6, 4, 13]),
array([ 1, 1, 2, 3, 3, 8, 6, 4, 13, 1]),
array([ 1, 2, 3, 3, 8, 6, 4, 13, 1, 12]),
array([ 2, 3, 3, 8, 6, 4, 13, 1, 12, 2]),
array([ 3, 3, 8, 6, 4, 13, 1, 12, 2, 9]),
array([ 3, 8, 6, 4, 13, 1, 12, 2, 9, 3]),
array([ 8, 6, 4, 13, 1, 12, 2, 9, 3, 8]),
array([ 6, 4, 13, 1, 12, 2, 9, 3, 8, 3]),
array([ 4, 13, 1, 12, 2, 9, 3, 8, 3, 3]),
array([13, 1, 12, 2, 9, 3, 8, 3, 3, 4]),
array([ 1, 12, 2, 9, 3, 8, 3, 3, 4, 6]),
array([12, 2, 9, 3, 8, 3, 3, 4, 6, 4]),
array([2, 9, 3, 8, 3, 3, 4, 6, 4, 1]),
array([ 9, 3, 8, 3, 3, 4, 6, 4, 1, 33]),
array([ 3, 8, 3, 3, 4, 6, 4, 1, 33, 22]),
array([ 8, 3, 3, 4, 6, 4, 1, 33, 22, 3]),
array([ 3, 3, 4, 6, 4, 1, 33, 22, 3, 3]),
array([ 3, 4, 6, 4, 1, 33, 22, 3, 3, 8]),
array([ 4, 6, 4, 1, 33, 22, 3, 3, 8, 1]),
array([ 6, 4, 1, 33, 22, 3, 3, 8, 1, 4]),
array([ 4, 1, 33, 22, 3, 3, 8, 1, 4, 4]),
array([ 1, 33, 22, 3, 3, 8, 1, 4, 4, 6]),
array([33, 22, 3, 3, 8, 1, 4, 4, 6, 2]),
array([22, 3, 3, 8, 1, 4, 4, 6, 2, 4]),
array([3, 3, 8, 1, 4, 4, 6, 2, 4, 1]),
array([3, 8, 1, 4, 4, 6, 2, 4, 1, 2]),
array([8, 1, 4, 4, 6, 2, 4, 1, 2, 4]),
array([1, 4, 4, 6, 2, 4, 1, 2, 4, 3]),
array([4, 4, 6, 2, 4, 1, 2, 4, 3, 3]),
array([4, 6, 2, 4, 1, 2, 4, 3, 3, 4]),
array([6, 2, 4, 1, 2, 4, 3, 3, 4, 2]),
array([2, 4, 1, 2, 4, 3, 3, 4, 2, 2]),
array([4, 1, 2, 4, 3, 3, 4, 2, 2, 1]),
array([1, 2, 4, 3, 3, 4, 2, 2, 1, 4]),
array([2, 4, 3, 3, 4, 2, 2, 1, 4, 2]),
array([4, 3, 3, 4, 2, 2, 1, 4, 2, 4]),
array([3, 3, 4, 2, 2, 1, 4, 2, 4, 4]),
array([3, 4, 2, 2, 1, 4, 2, 4, 4, 4]),
array([4, 2, 2, 1, 4, 2, 4, 4, 4, 3]),
array([2, 2, 1, 4, 2, 4, 4, 4, 3, 3]),
array([2, 1, 4, 2, 4, 4, 4, 3, 3, 3]),
array([1, 4, 2, 4, 4, 4, 3, 3, 3, 4]),
array([4, 2, 4, 4, 4, 3, 3, 3, 4, 3]),
array([2, 4, 4, 4, 3, 3, 3, 4, 3, 2]),
array([4, 4, 4, 3, 3, 3, 4, 3, 2, 1]),
array([4, 4, 3, 3, 3, 4, 3, 2, 1, 0]),
array([4, 3, 3, 3, 4, 3, 2, 1, 0, 0]),
array([3, 3, 3, 4, 3, 2, 1, 0, 0, 2]),
array([3, 3, 4, 3, 2, 1, 0, 0, 2, 1]),
array([3, 4, 3, 2, 1, 0, 0, 2, 1, 4]),
array([4, 3, 2, 1, 0, 0, 2, 1, 4, 2]),
array([3, 2, 1, 0, 0, 2, 1, 4, 2, 2]),
array([2, 1, 0, 0, 2, 1, 4, 2, 2, 1]),
array([1, 0, 0, 2, 1, 4, 2, 2, 1, 3]),
array([0, 0, 2, 1, 4, 2, 2, 1, 3, 3]),
array([0, 2, 1, 4, 2, 2, 1, 3, 3, 3]),
array([2, 1, 4, 2, 2, 1, 3, 3, 3, 2]),
array([1, 4, 2, 2, 1, 3, 3, 3, 2, 2]),
array([4, 2, 2, 1, 3, 3, 3, 2, 2, 3]),
array([2, 2, 1, 3, 3, 3, 2, 2, 3, 1]),
array([2, 1, 3, 3, 3, 2, 2, 3, 1, 7]),
array([1, 3, 3, 3, 2, 2, 3, 1, 7, 1]),
array([3, 3, 3, 2, 2, 3, 1, 7, 1, 4]),
array([3, 3, 2, 2, 3, 1, 7, 1, 4, 1]),
array([3, 2, 2, 3, 1, 7, 1, 4, 1, 2]),
array([2, 2, 3, 1, 7, 1, 4, 1, 2, 6]),
array([2, 3, 1, 7, 1, 4, 1, 2, 6, 6]),
array([3, 1, 7, 1, 4, 1, 2, 6, 6, 1]),
array([1, 7, 1, 4, 1, 2, 6, 6, 1, 3]),
array([7, 1, 4, 1, 2, 6, 6, 1, 3, 3]),
array([1, 4, 1, 2, 6, 6, 1, 3, 3, 4]),
array([4, 1, 2, 6, 6, 1, 3, 3, 4, 5]),
array([1, 2, 6, 6, 1, 3, 3, 4, 5, 2]),
array([2, 6, 6, 1, 3, 3, 4, 5, 2, 3]),
array([6, 6, 1, 3, 3, 4, 5, 2, 3, 3]),
array([6, 1, 3, 3, 4, 5, 2, 3, 3, 5]),
array([ 1, 3, 3, 4, 5, 2, 3, 3, 5, 10]),
array([ 3, 3, 4, 5, 2, 3, 3, 5, 10, 4]),
array([ 3, 4, 5, 2, 3, 3, 5, 10, 4, 1]),
array([ 4, 5, 2, 3, 3, 5, 10, 4, 1, 6]),
array([ 5, 2, 3, 3, 5, 10, 4, 1, 6, 3]),
array([ 2, 3, 3, 5, 10, 4, 1, 6, 3, 3]),
array([ 3, 3, 5, 10, 4, 1, 6, 3, 3, 4]),
array([ 3, 5, 10, 4, 1, 6, 3, 3, 4, 3]),
array([ 5, 10, 4, 1, 6, 3, 3, 4, 3, 2]),
array([10, 4, 1, 6, 3, 3, 4, 3, 2, 2]),
array([4, 1, 6, 3, 3, 4, 3, 2, 2, 6]),
array([1, 6, 3, 3, 4, 3, 2, 2, 6, 0]),
array([6, 3, 3, 4, 3, 2, 2, 6, 0, 9]),
array([3, 3, 4, 3, 2, 2, 6, 0, 9, 2]),
array([3, 4, 3, 2, 2, 6, 0, 9, 2, 1]),
array([4, 3, 2, 2, 6, 0, 9, 2, 1, 5]),
array([3, 2, 2, 6, 0, 9, 2, 1, 5, 5]),
array([2, 2, 6, 0, 9, 2, 1, 5, 5, 5]),
array([2, 6, 0, 9, 2, 1, 5, 5, 5, 4]),
array([6, 0, 9, 2, 1, 5, 5, 5, 4, 2]),
array([0, 9, 2, 1, 5, 5, 5, 4, 2, 6]),
array([9, 2, 1, 5, 5, 5, 4, 2, 6, 4]),
array([2, 1, 5, 5, 5, 4, 2, 6, 4, 1]),
array([1, 5, 5, 5, 4, 2, 6, 4, 1, 2]),
array([5, 5, 5, 4, 2, 6, 4, 1, 2, 2]),
array([5, 5, 4, 2, 6, 4, 1, 2, 2, 3]),
array([5, 4, 2, 6, 4, 1, 2, 2, 3, 3]),
array([4, 2, 6, 4, 1, 2, 2, 3, 3, 5]),
array([2, 6, 4, 1, 2, 2, 3, 3, 5, 5]),
array([6, 4, 1, 2, 2, 3, 3, 5, 5, 1]),
array([4, 1, 2, 2, 3, 3, 5, 5, 1, 3]),
array([1, 2, 2, 3, 3, 5, 5, 1, 3, 3]),
array([2, 2, 3, 3, 5, 5, 1, 3, 3, 3]),
array([2, 3, 3, 5, 5, 1, 3, 3, 3, 4]),
array([3, 3, 5, 5, 1, 3, 3, 3, 4, 2]),
array([3, 5, 5, 1, 3, 3, 3, 4, 2, 7]),
array([5, 5, 1, 3, 3, 3, 4, 2, 7, 2]),
array([5, 1, 3, 3, 3, 4, 2, 7, 2, 0]),
array([1, 3, 3, 3, 4, 2, 7, 2, 0, 1]),
array([3, 3, 3, 4, 2, 7, 2, 0, 1, 2]),
array([3, 3, 4, 2, 7, 2, 0, 1, 2, 3]),
array([3, 4, 2, 7, 2, 0, 1, 2, 3, 2]),
array([4, 2, 7, 2, 0, 1, 2, 3, 2, 3]),
array([2, 7, 2, 0, 1, 2, 3, 2, 3, 2]),
array([7, 2, 0, 1, 2, 3, 2, 3, 2, 2]),
array([2, 0, 1, 2, 3, 2, 3, 2, 2, 2]),
array([0, 1, 2, 3, 2, 3, 2, 2, 2, 3]),
array([1, 2, 3, 2, 3, 2, 2, 2, 3, 3]),
array([2, 3, 2, 3, 2, 2, 2, 3, 3, 5]),
array([3, 2, 3, 2, 2, 2, 3, 3, 5, 1]),
array([2, 3, 2, 2, 2, 3, 3, 5, 1, 1]),
array([ 3, 2, 2, 2, 3, 3, 5, 1, 1, 10]),
array([ 2, 2, 2, 3, 3, 5, 1, 1, 10, 1]),
array([ 2, 2, 3, 3, 5, 1, 1, 10, 1, 3]),
array([ 2, 3, 3, 5, 1, 1, 10, 1, 3, 6]),
array([ 3, 3, 5, 1, 1, 10, 1, 3, 6, 9]),
array([ 3, 5, 1, 1, 10, 1, 3, 6, 9, 3]),
array([ 5, 1, 1, 10, 1, 3, 6, 9, 3, 2]),
array([ 1, 1, 10, 1, 3, 6, 9, 3, 2, 1]),
array([ 1, 10, 1, 3, 6, 9, 3, 2, 1, 4]),
array([10, 1, 3, 6, 9, 3, 2, 1, 4, 8]),
array([ 1, 3, 6, 9, 3, 2, 1, 4, 8, 13]),
array([ 3, 6, 9, 3, 2, 1, 4, 8, 13, 3]),
array([ 6, 9, 3, 2, 1, 4, 8, 13, 3, 1]),
array([ 9, 3, 2, 1, 4, 8, 13, 3, 1, 6]),
array([ 3, 2, 1, 4, 8, 13, 3, 1, 6, 2]),
array([ 2, 1, 4, 8, 13, 3, 1, 6, 2, 3]),
array([ 1, 4, 8, 13, 3, 1, 6, 2, 3, 0]),
array([ 4, 8, 13, 3, 1, 6, 2, 3, 0, 4]),
array([ 8, 13, 3, 1, 6, 2, 3, 0, 4, 4]),
array([13, 3, 1, 6, 2, 3, 0, 4, 4, 1]),
array([3, 1, 6, 2, 3, 0, 4, 4, 1, 1]),
array([1, 6, 2, 3, 0, 4, 4, 1, 1, 0]),
array([6, 2, 3, 0, 4, 4, 1, 1, 0, 4]),
array([2, 3, 0, 4, 4, 1, 1, 0, 4, 9]),
array([3, 0, 4, 4, 1, 1, 0, 4, 9, 1]),
array([0, 4, 4, 1, 1, 0, 4, 9, 1, 2]),
array([4, 4, 1, 1, 0, 4, 9, 1, 2, 3]),
array([4, 1, 1, 0, 4, 9, 1, 2, 3, 4]),
array([1, 1, 0, 4, 9, 1, 2, 3, 4, 3]),
array([1, 0, 4, 9, 1, 2, 3, 4, 3, 4]),
array([0, 4, 9, 1, 2, 3, 4, 3, 4, 2]),
array([4, 9, 1, 2, 3, 4, 3, 4, 2, 3]),
array([9, 1, 2, 3, 4, 3, 4, 2, 3, 8]),
array([1, 2, 3, 4, 3, 4, 2, 3, 8, 4]),
array([2, 3, 4, 3, 4, 2, 3, 8, 4, 3]),
array([3, 4, 3, 4, 2, 3, 8, 4, 3, 4]),
array([4, 3, 4, 2, 3, 8, 4, 3, 4, 6]),
array([3, 4, 2, 3, 8, 4, 3, 4, 6, 2]),
array([4, 2, 3, 8, 4, 3, 4, 6, 2, 2]),
array([2, 3, 8, 4, 3, 4, 6, 2, 2, 9]),
array([3, 8, 4, 3, 4, 6, 2, 2, 9, 3]),
array([8, 4, 3, 4, 6, 2, 2, 9, 3, 3]),
array([4, 3, 4, 6, 2, 2, 9, 3, 3, 6]),
array([3, 4, 6, 2, 2, 9, 3, 3, 6, 3]),
array([4, 6, 2, 2, 9, 3, 3, 6, 3, 3]),
array([6, 2, 2, 9, 3, 3, 6, 3, 3, 4]),
array([2, 2, 9, 3, 3, 6, 3, 3, 4, 0]),
array([2, 9, 3, 3, 6, 3, 3, 4, 0, 2]),
array([9, 3, 3, 6, 3, 3, 4, 0, 2, 5]),
array([3, 3, 6, 3, 3, 4, 0, 2, 5, 1]),
array([3, 6, 3, 3, 4, 0, 2, 5, 1, 3]),
array([6, 3, 3, 4, 0, 2, 5, 1, 3, 3]),
array([3, 3, 4, 0, 2, 5, 1, 3, 3, 2]),
array([3, 4, 0, 2, 5, 1, 3, 3, 2, 5]),
array([4, 0, 2, 5, 1, 3, 3, 2, 5, 1]),
array([0, 2, 5, 1, 3, 3, 2, 5, 1, 3]),
array([2, 5, 1, 3, 3, 2, 5, 1, 3, 5]),
array([5, 1, 3, 3, 2, 5, 1, 3, 5, 2]),
array([1, 3, 3, 2, 5, 1, 3, 5, 2, 5]),
array([3, 3, 2, 5, 1, 3, 5, 2, 5, 0]),
array([3, 2, 5, 1, 3, 5, 2, 5, 0, 3]),
array([2, 5, 1, 3, 5, 2, 5, 0, 3, 3]),
array([5, 1, 3, 5, 2, 5, 0, 3, 3, 1]),
array([1, 3, 5, 2, 5, 0, 3, 3, 1, 2]),
array([3, 5, 2, 5, 0, 3, 3, 1, 2, 7]),
array([5, 2, 5, 0, 3, 3, 1, 2, 7, 5]),
array([2, 5, 0, 3, 3, 1, 2, 7, 5, 2]),
array([ 5, 0, 3, 3, 1, 2, 7, 5, 2, 11]),
array([ 0, 3, 3, 1, 2, 7, 5, 2, 11, 3]),
array([ 3, 3, 1, 2, 7, 5, 2, 11, 3, 3]),
array([ 3, 1, 2, 7, 5, 2, 11, 3, 3, 11]),
array([ 1, 2, 7, 5, 2, 11, 3, 3, 11, 7]),
array([ 2, 7, 5, 2, 11, 3, 3, 11, 7, 2]),
array([ 7, 5, 2, 11, 3, 3, 11, 7, 2, 5]),
array([ 5, 2, 11, 3, 3, 11, 7, 2, 5, 3]),
array([ 2, 11, 3, 3, 11, 7, 2, 5, 3, 1]),
array([11, 3, 3, 11, 7, 2, 5, 3, 1, 3]),
array([ 3, 3, 11, 7, 2, 5, 3, 1, 3, 4]),
array([ 3, 11, 7, 2, 5, 3, 1, 3, 4, 4]),
array([11, 7, 2, 5, 3, 1, 3, 4, 4, 1]),
array([7, 2, 5, 3, 1, 3, 4, 4, 1, 1]),
array([2, 5, 3, 1, 3, 4, 4, 1, 1, 3]),
array([5, 3, 1, 3, 4, 4, 1, 1, 3, 1]),
array([3, 1, 3, 4, 4, 1, 1, 3, 1, 1]),
array([1, 3, 4, 4, 1, 1, 3, 1, 1, 5]),
array([3, 4, 4, 1, 1, 3, 1, 1, 5, 3]),
array([4, 4, 1, 1, 3, 1, 1, 5, 3, 5]),
array([4, 1, 1, 3, 1, 1, 5, 3, 5, 2]),
array([ 1, 1, 3, 1, 1, 5, 3, 5, 2, 15]),
array([ 1, 3, 1, 1, 5, 3, 5, 2, 15, 1]),
array([ 3, 1, 1, 5, 3, 5, 2, 15, 1, 5]),
array([ 1, 1, 5, 3, 5, 2, 15, 1, 5, 4]),
array([ 1, 5, 3, 5, 2, 15, 1, 5, 4, 5]),
array([ 5, 3, 5, 2, 15, 1, 5, 4, 5, 2]),
array([ 3, 5, 2, 15, 1, 5, 4, 5, 2, 2]),
array([ 5, 2, 15, 1, 5, 4, 5, 2, 2, 2]),
array([ 2, 15, 1, 5, 4, 5, 2, 2, 2, 5]),
array([15, 1, 5, 4, 5, 2, 2, 2, 5, 6]),
array([1, 5, 4, 5, 2, 2, 2, 5, 6, 3]),
array([5, 4, 5, 2, 2, 2, 5, 6, 3, 7]),
array([4, 5, 2, 2, 2, 5, 6, 3, 7, 1]),
array([5, 2, 2, 2, 5, 6, 3, 7, 1, 5]),
array([2, 2, 2, 5, 6, 3, 7, 1, 5, 4]),
array([2, 2, 5, 6, 3, 7, 1, 5, 4, 4]),
array([2, 5, 6, 3, 7, 1, 5, 4, 4, 8]),
array([5, 6, 3, 7, 1, 5, 4, 4, 8, 5]),
array([6, 3, 7, 1, 5, 4, 4, 8, 5, 6]),
array([3, 7, 1, 5, 4, 4, 8, 5, 6, 6]),
array([7, 1, 5, 4, 4, 8, 5, 6, 6, 4]),
array([1, 5, 4, 4, 8, 5, 6, 6, 4, 4]),
array([5, 4, 4, 8, 5, 6, 6, 4, 4, 4]),
array([4, 4, 8, 5, 6, 6, 4, 4, 4, 2]),
array([4, 8, 5, 6, 6, 4, 4, 4, 2, 2]),
array([8, 5, 6, 6, 4, 4, 4, 2, 2, 4]),
array([5, 6, 6, 4, 4, 4, 2, 2, 4, 8]),
array([6, 6, 4, 4, 4, 2, 2, 4, 8, 3]),
array([6, 4, 4, 4, 2, 2, 4, 8, 3, 2]),
array([4, 4, 4, 2, 2, 4, 8, 3, 2, 1]),
array([4, 4, 2, 2, 4, 8, 3, 2, 1, 4]),
array([4, 2, 2, 4, 8, 3, 2, 1, 4, 3]),
array([2, 2, 4, 8, 3, 2, 1, 4, 3, 3]),
array([2, 4, 8, 3, 2, 1, 4, 3, 3, 2]),
array([4, 8, 3, 2, 1, 4, 3, 3, 2, 2]),
array([8, 3, 2, 1, 4, 3, 3, 2, 2, 4]),
array([3, 2, 1, 4, 3, 3, 2, 2, 4, 2]),
array([2, 1, 4, 3, 3, 2, 2, 4, 2, 5]),
array([1, 4, 3, 3, 2, 2, 4, 2, 5, 4]),
array([4, 3, 3, 2, 2, 4, 2, 5, 4, 6]),
array([3, 3, 2, 2, 4, 2, 5, 4, 6, 7]),
array([3, 2, 2, 4, 2, 5, 4, 6, 7, 6]),
array([2, 2, 4, 2, 5, 4, 6, 7, 6, 1]),
array([2, 4, 2, 5, 4, 6, 7, 6, 1, 3]),
array([4, 2, 5, 4, 6, 7, 6, 1, 3, 3]),
array([2, 5, 4, 6, 7, 6, 1, 3, 3, 2]),
array([5, 4, 6, 7, 6, 1, 3, 3, 2, 2]),
array([4, 6, 7, 6, 1, 3, 3, 2, 2, 2]),
array([6, 7, 6, 1, 3, 3, 2, 2, 2, 1]),
array([7, 6, 1, 3, 3, 2, 2, 2, 1, 2]),
array([6, 1, 3, 3, 2, 2, 2, 1, 2, 0]),
array([1, 3, 3, 2, 2, 2, 1, 2, 0, 2]),
array([3, 3, 2, 2, 2, 1, 2, 0, 2, 2]),
array([3, 2, 2, 2, 1, 2, 0, 2, 2, 3]),
array([2, 2, 2, 1, 2, 0, 2, 2, 3, 1]),
array([2, 2, 1, 2, 0, 2, 2, 3, 1, 2]),
array([2, 1, 2, 0, 2, 2, 3, 1, 2, 5]),
array([1, 2, 0, 2, 2, 3, 1, 2, 5, 3]),
array([2, 0, 2, 2, 3, 1, 2, 5, 3, 3]),
array([0, 2, 2, 3, 1, 2, 5, 3, 3, 2]),
array([2, 2, 3, 1, 2, 5, 3, 3, 2, 1]),
array([2, 3, 1, 2, 5, 3, 3, 2, 1, 3]),
array([3, 1, 2, 5, 3, 3, 2, 1, 3, 2]),
array([1, 2, 5, 3, 3, 2, 1, 3, 2, 3]),
array([2, 5, 3, 3, 2, 1, 3, 2, 3, 1]),
array([5, 3, 3, 2, 1, 3, 2, 3, 1, 6]),
array([3, 3, 2, 1, 3, 2, 3, 1, 6, 3]),
array([3, 2, 1, 3, 2, 3, 1, 6, 3, 1]),
array([2, 1, 3, 2, 3, 1, 6, 3, 1, 1]),
array([1, 3, 2, 3, 1, 6, 3, 1, 1, 4]),
array([3, 2, 3, 1, 6, 3, 1, 1, 4, 3]),
array([2, 3, 1, 6, 3, 1, 1, 4, 3, 1])]
In [69]:
train_feature_array = np.array(train_feature)
In [70]:
train_feature_array
Out[70]:
array([[3, 4, 7, ..., 7, 2, 0],
[4, 7, 4, ..., 2, 0, 3],
[7, 4, 4, ..., 0, 3, 1],
...,
[1, 3, 2, ..., 1, 1, 4],
[3, 2, 3, ..., 1, 4, 3],
[2, 3, 1, ..., 4, 3, 1]])
In [71]:
len(train_feature_array)
Out[71]:
540
In [181]:
######################### 建立模型
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
model = Sequential() #一層一層到底，按順序
#輸入層（隱藏層1）
model.add(Dense(units=200,
input_dim=10,
kernel_initializer='uniform',
activation='relu'))
model.add(Dropout(0.5))
#隱藏層2，不用寫input_dim，因為就是前一層的units
model.add(Dense(units=200,
kernel_initializer='uniform',
activation='relu'))
model.add(Dropout(0.5))
#輸出層
model.add(Dense(units=1, #輸出一個數字
kernel_initializer='uniform'))
print(model.summary()) #可以清楚看到model還有參數數量
model.compile(loss='mse', #二元用binary
optimizer='adam', metrics=['accuracy'])
model.fit(x=train_feature_array, y=page_data_label, #上面多分割一步在keras是內建的
validation_split=0.2, epochs=20, batch_size=150, verbose=0) #verbose=2表示顯示訓練過程
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense_147 (Dense) (None, 200) 2200
_________________________________________________________________
dropout_99 (Dropout) (None, 200) 0
_________________________________________________________________
dense_148 (Dense) (None, 200) 40200
_________________________________________________________________
dropout_100 (Dropout) (None, 200) 0
_________________________________________________________________
dense_149 (Dense) (None, 1) 201
=================================================================
Total params: 42,601
Trainable params: 42,601
Non-trainable params: 0
_________________________________________________________________
None
Out[181]:
<keras.callbacks.History at 0x34b345f28>
In [152]:
list_future = train_feature_array[-1].reshape(-1,10)
ans_list = list_future
In [153]:
np.append(ans_list,1) #測試用
Out[153]:
array([2, 3, 1, 6, 3, 1, 1, 4, 3, 1, 1])
In [154]:
ans_list #其實並沒有加上去！！
Out[154]:
array([[2, 3, 1, 6, 3, 1, 1, 4, 3, 1]])
In [155]:
ans_list[0:10]
Out[155]:
array([[2, 3, 1, 6, 3, 1, 1, 4, 3, 1]])
In [156]:
for i in range(61):
ans = model.predict(ans_list[i:i+10].reshape(-1,10))
ans_list = np.append(ans_list, ans)
In [157]:
ans_list
Out[157]:
array([ 2. , 3. , 1. , 6. , 3. ,
1. , 1. , 4. , 3. , 1. ,
2.07314897, 2.34163165, 2.23865843, 2.11607313, 1.92182565,
1.96203339, 1.99277389, 1.95160294, 1.85660791, 1.8078903 ,
1.83257496, 1.81137025, 1.76898634, 1.73631012, 1.71370244,
1.69622028, 1.67314231, 1.64847136, 1.62789738, 1.61069787,
1.59408164, 1.57588303, 1.55843711, 1.54275393, 1.52803504,
1.51372468, 1.49985647, 1.48678863, 1.4745357 , 1.46282303,
1.4515537 , 1.44077516, 1.43055797, 1.42085636, 1.41159749,
1.4027617 , 1.39435053, 1.38634956, 1.3787272 , 1.37145722,
1.36452818, 1.35792947, 1.35164583, 1.34565926, 1.33995485,
1.33452082, 1.32934487, 1.32441378, 1.3197155 , 1.31523955,
1.31097543, 1.30691338, 1.3030436 , 1.29935694, 1.29584455,
1.29249907, 1.28931141, 1.28627467, 1.28338182, 1.28062582,
1.27800035])
In [158]:
ans_list_round = np.round(ans_list)
In [159]:
ans_list_round
Out[159]:
array([ 2., 3., 1., 6., 3., 1., 1., 4., 3., 1., 2., 2., 2.,
2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,
2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 1., 1., 1.,
1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
1., 1., 1., 1., 1., 1.])
In [160]:
real_ans = ans_list_round[11:]
In [161]:
real_ans #測試第一組的60個數字
Out[161]:
array([ 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.,
2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 1.,
1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.,
1., 1., 1., 1., 1., 1., 1., 1.])
In [274]:
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
import os
total_ans = []
for page in range(1,5):
#提取資料
page_data = list_train_order_value[page]
page_data = np.trim_zeros(page_data, trim='f') #拿掉前面有太多0的，會有bias
page_data_label = page_data[10:] #每10組給出一次答案，所以答案不包含前10組
train_feature = []
for i in range(len(page_data_label)):
train_feature.append(page_data[i:i+10])
train_feature_array = np.array(train_feature)
#標準化
train_feature_array = train_feature_array/max(page_data)
page_data_label = page_data_label/max(page_data)
#print(train_feature_array) #測試用
#print(page_data_label) #測試用
#訓練模型
model = Sequential()
model.add(Dense(units=100,
input_dim=10,
kernel_initializer='uniform'))
model.add(Dropout(0.5))
model.add(Dense(units=100,
kernel_initializer='uniform'))
model.add(Dropout(0.5))
model.add(Dense(units=1))
#print(model.summary()) #測試用
'''
weights_path = 'Savemodels/WIKI(Kaggles)_MLP.h5'
if os.path.isfile(weights_path):
model.load_weights(weights_path) #只要跑過一次就取出來直接使用
else:
pass
'''
model.compile(loss='mse',
optimizer='adam', metrics=['accuracy'])
model.fit(x=train_feature_array, y=page_data_label,
validation_split=0.2, epochs=20, batch_size=200, verbose=1)
#model.save_weights("Savemodels/WIKI(Kaggles)_MLP.h5") #方便下一次跑?
#訓練後跑答案
ans_list = train_feature_array[-1].reshape(-1,10)
rand_list = np.random.randn(60) #常態分佈的雜訊
for i in range(60): #做好做滿60次預測
ans = model.predict(ans_list[i:i+10].reshape(-1,10))
ans_add_noise = ans + 0.2*np.std(train_feature_array)*rand_list[i]
#避免ans太快收斂，加入rand條件讓他上下波動
if ans_add_noise < 0:
ans_add_noise = 0 #瀏覽人次沒有在<0的啦～
else:
ans_add_noise = ans_add_noise
ans_list = np.append(ans_list, ans_add_noise)
ans_list_round = np.round(ans_list*np.max(page_data)) #四捨五入成整數的瀏覽人次
real_ans = ans_list_round[11:] #最終每組60個數字的答案
total_ans.append(real_ans) #把每一組的60個數字通通加總在一張表上，最後再貼回去答案卷
print('case completed: ', page)
print('All cases completed!!')
Train on 430 samples, validate on 108 samples
Epoch 1/40
430/430 [==============================] - 16s - loss: 0.0144 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 2/40
430/430 [==============================] - 0s - loss: 0.0100 - acc: 0.2209 - val_loss: 0.0067 - val_acc: 0.1944
Epoch 3/40
430/430 [==============================] - 0s - loss: 0.0106 - acc: 0.2209 - val_loss: 0.0056 - val_acc: 0.1944
Epoch 4/40
430/430 [==============================] - 0s - loss: 0.0097 - acc: 0.2209 - val_loss: 0.0057 - val_acc: 0.1944
Epoch 5/40
430/430 [==============================] - 0s - loss: 0.0099 - acc: 0.2209 - val_loss: 0.0059 - val_acc: 0.1944
Epoch 6/40
430/430 [==============================] - 0s - loss: 0.0097 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 7/40
430/430 [==============================] - 0s - loss: 0.0096 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 8/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 9/40
430/430 [==============================] - 0s - loss: 0.0097 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 10/40
430/430 [==============================] - 0s - loss: 0.0094 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 11/40
430/430 [==============================] - 0s - loss: 0.0092 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 12/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 13/40
430/430 [==============================] - 0s - loss: 0.0094 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 14/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 15/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 16/40
430/430 [==============================] - 0s - loss: 0.0094 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 17/40
430/430 [==============================] - 0s - loss: 0.0098 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 18/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 19/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 20/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 21/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 22/40
430/430 [==============================] - 0s - loss: 0.0094 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 23/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 24/40
430/430 [==============================] - 0s - loss: 0.0094 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 25/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 26/40
430/430 [==============================] - 0s - loss: 0.0096 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 27/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 28/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 29/40
430/430 [==============================] - 0s - loss: 0.0092 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 30/40
430/430 [==============================] - 0s - loss: 0.0096 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 31/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 32/40
430/430 [==============================] - 0s - loss: 0.0091 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 33/40
430/430 [==============================] - 0s - loss: 0.0096 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 34/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0053 - val_acc: 0.1944
Epoch 35/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 36/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 37/40
430/430 [==============================] - 0s - loss: 0.0094 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 38/40
430/430 [==============================] - 0s - loss: 0.0095 - acc: 0.2209 - val_loss: 0.0054 - val_acc: 0.1944
Epoch 39/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
Epoch 40/40
430/430 [==============================] - 0s - loss: 0.0093 - acc: 0.2209 - val_loss: 0.0055 - val_acc: 0.1944
case completed: 1
Train on 432 samples, validate on 108 samples
Epoch 1/40
432/432 [==============================] - 11s - loss: 0.0146 - acc: 0.0718 - val_loss: 0.0056 - val_acc: 0.0370
Epoch 2/40
432/432 [==============================] - 0s - loss: 0.0082 - acc: 0.0718 - val_loss: 0.0056 - val_acc: 0.0370
Epoch 3/40
432/432 [==============================] - 0s - loss: 0.0086 - acc: 0.0718 - val_loss: 0.0052 - val_acc: 0.0370
Epoch 4/40
432/432 [==============================] - 0s - loss: 0.0080 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 5/40
432/432 [==============================] - 0s - loss: 0.0077 - acc: 0.0718 - val_loss: 0.0050 - val_acc: 0.0370
Epoch 6/40
432/432 [==============================] - 0s - loss: 0.0078 - acc: 0.0718 - val_loss: 0.0049 - val_acc: 0.0370
Epoch 7/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 8/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 9/40
432/432 [==============================] - 0s - loss: 0.0075 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 10/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 11/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 12/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 13/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 14/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 15/40
432/432 [==============================] - 0s - loss: 0.0074 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 16/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 17/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 18/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 19/40
432/432 [==============================] - 0s - loss: 0.0072 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 20/40
432/432 [==============================] - 0s - loss: 0.0077 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 21/40
432/432 [==============================] - 0s - loss: 0.0075 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 22/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 23/40
432/432 [==============================] - 0s - loss: 0.0078 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 24/40
432/432 [==============================] - 0s - loss: 0.0077 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 25/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 26/40
432/432 [==============================] - 0s - loss: 0.0077 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 27/40
432/432 [==============================] - 0s - loss: 0.0074 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 28/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 29/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 30/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 31/40
432/432 [==============================] - 0s - loss: 0.0073 - acc: 0.0718 - val_loss: 0.0047 - val_acc: 0.0370
Epoch 32/40
432/432 [==============================] - 0s - loss: 0.0075 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 33/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 34/40
432/432 [==============================] - 0s - loss: 0.0075 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 35/40
432/432 [==============================] - 0s - loss: 0.0074 - acc: 0.0718 - val_loss: 0.0049 - val_acc: 0.0370
Epoch 36/40
432/432 [==============================] - 0s - loss: 0.0077 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 37/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 38/40
432/432 [==============================] - 0s - loss: 0.0074 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 39/40
432/432 [==============================] - 0s - loss: 0.0078 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
Epoch 40/40
432/432 [==============================] - 0s - loss: 0.0076 - acc: 0.0718 - val_loss: 0.0048 - val_acc: 0.0370
case completed: 2
Train on 30 samples, validate on 8 samples
Epoch 1/40
30/30 [==============================] - 9s - loss: 0.0715 - acc: 0.0000e+00 - val_loss: 0.0015 - val_acc: 0.0000e+00
Epoch 2/40
30/30 [==============================] - 0s - loss: 0.0587 - acc: 0.0000e+00 - val_loss: 3.8799e-04 - val_acc: 0.0000e+00
Epoch 3/40
30/30 [==============================] - 0s - loss: 0.0546 - acc: 0.0000e+00 - val_loss: 2.4943e-05 - val_acc: 0.0000e+00
Epoch 4/40
30/30 [==============================] - 0s - loss: 0.0476 - acc: 0.0000e+00 - val_loss: 6.1844e-04 - val_acc: 0.0000e+00
Epoch 5/40
30/30 [==============================] - 0s - loss: 0.0416 - acc: 0.0000e+00 - val_loss: 0.0022 - val_acc: 0.0000e+00
Epoch 6/40
30/30 [==============================] - 0s - loss: 0.0348 - acc: 0.0000e+00 - val_loss: 0.0046 - val_acc: 0.0000e+00
Epoch 7/40
30/30 [==============================] - 0s - loss: 0.0404 - acc: 0.0000e+00 - val_loss: 0.0069 - val_acc: 0.0000e+00
Epoch 8/40
30/30 [==============================] - 0s - loss: 0.0366 - acc: 0.0000e+00 - val_loss: 0.0086 - val_acc: 0.0000e+00
Epoch 9/40
30/30 [==============================] - 0s - loss: 0.0342 - acc: 0.0000e+00 - val_loss: 0.0097 - val_acc: 0.0000e+00
Epoch 10/40
30/30 [==============================] - 0s - loss: 0.0367 - acc: 0.0000e+00 - val_loss: 0.0099 - val_acc: 0.0000e+00
Epoch 11/40
30/30 [==============================] - 0s - loss: 0.0325 - acc: 0.0000e+00 - val_loss: 0.0095 - val_acc: 0.0000e+00
Epoch 12/40
30/30 [==============================] - 0s - loss: 0.0351 - acc: 0.0000e+00 - val_loss: 0.0085 - val_acc: 0.0000e+00
Epoch 13/40
30/30 [==============================] - 0s - loss: 0.0332 - acc: 0.0000e+00 - val_loss: 0.0071 - val_acc: 0.0000e+00
Epoch 14/40
30/30 [==============================] - 0s - loss: 0.0318 - acc: 0.0000e+00 - val_loss: 0.0056 - val_acc: 0.0000e+00
Epoch 15/40
30/30 [==============================] - 0s - loss: 0.0302 - acc: 0.0000e+00 - val_loss: 0.0042 - val_acc: 0.0000e+00
Epoch 16/40
30/30 [==============================] - 0s - loss: 0.0299 - acc: 0.0000e+00 - val_loss: 0.0030 - val_acc: 0.0000e+00
Epoch 17/40
30/30 [==============================] - 0s - loss: 0.0262 - acc: 0.0000e+00 - val_loss: 0.0021 - val_acc: 0.0000e+00
Epoch 18/40
30/30 [==============================] - 0s - loss: 0.0273 - acc: 0.0000e+00 - val_loss: 0.0016 - val_acc: 0.0000e+00
Epoch 19/40
30/30 [==============================] - 0s - loss: 0.0348 - acc: 0.0000e+00 - val_loss: 0.0015 - val_acc: 0.0000e+00
Epoch 20/40
30/30 [==============================] - 0s - loss: 0.0267 - acc: 0.0000e+00 - val_loss: 0.0017 - val_acc: 0.0000e+00
Epoch 21/40
30/30 [==============================] - 0s - loss: 0.0268 - acc: 0.0000e+00 - val_loss: 0.0023 - val_acc: 0.0000e+00
Epoch 22/40
30/30 [==============================] - 0s - loss: 0.0277 - acc: 0.0000e+00 - val_loss: 0.0033 - val_acc: 0.0000e+00
Epoch 23/40
30/30 [==============================] - 0s - loss: 0.0248 - acc: 0.0000e+00 - val_loss: 0.0045 - val_acc: 0.0000e+00
Epoch 24/40
30/30 [==============================] - 0s - loss: 0.0292 - acc: 0.0000e+00 - val_loss: 0.0062 - val_acc: 0.0000e+00
Epoch 25/40
30/30 [==============================] - 0s - loss: 0.0254 - acc: 0.0000e+00 - val_loss: 0.0081 - val_acc: 0.0000e+00
Epoch 26/40
30/30 [==============================] - 0s - loss: 0.0248 - acc: 0.0000e+00 - val_loss: 0.0097 - val_acc: 0.0000e+00
Epoch 27/40
30/30 [==============================] - 0s - loss: 0.0238 - acc: 0.0000e+00 - val_loss: 0.0110 - val_acc: 0.0000e+00
Epoch 28/40
30/30 [==============================] - 0s - loss: 0.0262 - acc: 0.0000e+00 - val_loss: 0.0114 - val_acc: 0.0000e+00
Epoch 29/40
30/30 [==============================] - 0s - loss: 0.0232 - acc: 0.0000e+00 - val_loss: 0.0115 - val_acc: 0.0000e+00
Epoch 30/40
30/30 [==============================] - 0s - loss: 0.0252 - acc: 0.0000e+00 - val_loss: 0.0110 - val_acc: 0.0000e+00
Epoch 31/40
30/30 [==============================] - 0s - loss: 0.0237 - acc: 0.0000e+00 - val_loss: 0.0103 - val_acc: 0.0000e+00
Epoch 32/40
30/30 [==============================] - 0s - loss: 0.0252 - acc: 0.0000e+00 - val_loss: 0.0090 - val_acc: 0.0000e+00
Epoch 33/40
30/30 [==============================] - 0s - loss: 0.0238 - acc: 0.0000e+00 - val_loss: 0.0075 - val_acc: 0.0000e+00
Epoch 34/40
30/30 [==============================] - 0s - loss: 0.0254 - acc: 0.0000e+00 - val_loss: 0.0063 - val_acc: 0.0000e+00
Epoch 35/40
30/30 [==============================] - 0s - loss: 0.0262 - acc: 0.0000e+00 - val_loss: 0.0055 - val_acc: 0.0000e+00
Epoch 36/40
30/30 [==============================] - 0s - loss: 0.0267 - acc: 0.0000e+00 - val_loss: 0.0050 - val_acc: 0.0000e+00
Epoch 37/40
30/30 [==============================] - 0s - loss: 0.0248 - acc: 0.0000e+00 - val_loss: 0.0051 - val_acc: 0.0000e+00
Epoch 38/40
30/30 [==============================] - 0s - loss: 0.0251 - acc: 0.0000e+00 - val_loss: 0.0056 - val_acc: 0.0000e+00
Epoch 39/40
30/30 [==============================] - 0s - loss: 0.0200 - acc: 0.0000e+00 - val_loss: 0.0064 - val_acc: 0.0000e+00
Epoch 40/40
30/30 [==============================] - 0s - loss: 0.0258 - acc: 0.0000e+00 - val_loss: 0.0074 - val_acc: 0.0000e+00
case completed: 3
Train on 30 samples, validate on 8 samples
Epoch 1/40
30/30 [==============================] - 7s - loss: 0.0609 - acc: 0.0000e+00 - val_loss: 0.0011 - val_acc: 0.0000e+00
Epoch 2/40
30/30 [==============================] - 0s - loss: 0.0546 - acc: 0.0000e+00 - val_loss: 4.3755e-04 - val_acc: 0.0000e+00
Epoch 3/40
30/30 [==============================] - 0s - loss: 0.0441 - acc: 0.0000e+00 - val_loss: 4.8964e-04 - val_acc: 0.0000e+00
Epoch 4/40
30/30 [==============================] - 0s - loss: 0.0394 - acc: 0.0000e+00 - val_loss: 0.0014 - val_acc: 0.0000e+00
Epoch 5/40
30/30 [==============================] - 0s - loss: 0.0349 - acc: 0.0000e+00 - val_loss: 0.0030 - val_acc: 0.0000e+00
Epoch 6/40
30/30 [==============================] - 0s - loss: 0.0361 - acc: 0.0000e+00 - val_loss: 0.0051 - val_acc: 0.0000e+00
Epoch 7/40
30/30 [==============================] - 0s - loss: 0.0350 - acc: 0.0000e+00 - val_loss: 0.0073 - val_acc: 0.0000e+00
Epoch 8/40
30/30 [==============================] - 0s - loss: 0.0376 - acc: 0.0000e+00 - val_loss: 0.0090 - val_acc: 0.0000e+00
Epoch 9/40
30/30 [==============================] - 0s - loss: 0.0365 - acc: 0.0000e+00 - val_loss: 0.0099 - val_acc: 0.0000e+00
Epoch 10/40
30/30 [==============================] - 0s - loss: 0.0379 - acc: 0.0000e+00 - val_loss: 0.0099 - val_acc: 0.0000e+00
Epoch 11/40
30/30 [==============================] - 0s - loss: 0.0369 - acc: 0.0000e+00 - val_loss: 0.0092 - val_acc: 0.0000e+00
Epoch 12/40
30/30 [==============================] - 0s - loss: 0.0380 - acc: 0.0000e+00 - val_loss: 0.0079 - val_acc: 0.0000e+00
Epoch 13/40
30/30 [==============================] - 0s - loss: 0.0330 - acc: 0.0000e+00 - val_loss: 0.0066 - val_acc: 0.0000e+00
Epoch 14/40
30/30 [==============================] - 0s - loss: 0.0345 - acc: 0.0000e+00 - val_loss: 0.0054 - val_acc: 0.0000e+00
Epoch 15/40
30/30 [==============================] - 0s - loss: 0.0303 - acc: 0.0000e+00 - val_loss: 0.0043 - val_acc: 0.0000e+00
Epoch 16/40
30/30 [==============================] - 0s - loss: 0.0301 - acc: 0.0000e+00 - val_loss: 0.0035 - val_acc: 0.0000e+00
Epoch 17/40
30/30 [==============================] - 0s - loss: 0.0320 - acc: 0.0000e+00 - val_loss: 0.0030 - val_acc: 0.0000e+00
Epoch 18/40
30/30 [==============================] - 0s - loss: 0.0322 - acc: 0.0000e+00 - val_loss: 0.0028 - val_acc: 0.0000e+00
Epoch 19/40
30/30 [==============================] - 0s - loss: 0.0340 - acc: 0.0000e+00 - val_loss: 0.0028 - val_acc: 0.0000e+00
Epoch 20/40
30/30 [==============================] - 0s - loss: 0.0270 - acc: 0.0000e+00 - val_loss: 0.0030 - val_acc: 0.0000e+00
Epoch 21/40
30/30 [==============================] - 0s - loss: 0.0289 - acc: 0.0000e+00 - val_loss: 0.0034 - val_acc: 0.0000e+00
Epoch 22/40
30/30 [==============================] - 0s - loss: 0.0300 - acc: 0.0000e+00 - val_loss: 0.0041 - val_acc: 0.0000e+00
Epoch 23/40
30/30 [==============================] - 0s - loss: 0.0284 - acc: 0.0000e+00 - val_loss: 0.0049 - val_acc: 0.0000e+00
Epoch 24/40
30/30 [==============================] - 0s - loss: 0.0293 - acc: 0.0000e+00 - val_loss: 0.0060 - val_acc: 0.0000e+00
Epoch 25/40
30/30 [==============================] - 0s - loss: 0.0276 - acc: 0.0000e+00 - val_loss: 0.0070 - val_acc: 0.0000e+00
Epoch 26/40
30/30 [==============================] - 0s - loss: 0.0290 - acc: 0.0000e+00 - val_loss: 0.0080 - val_acc: 0.0000e+00
Epoch 27/40
30/30 [==============================] - 0s - loss: 0.0257 - acc: 0.0000e+00 - val_loss: 0.0089 - val_acc: 0.0000e+00
Epoch 28/40
30/30 [==============================] - 0s - loss: 0.0257 - acc: 0.0000e+00 - val_loss: 0.0097 - val_acc: 0.0000e+00
Epoch 29/40
30/30 [==============================] - 0s - loss: 0.0302 - acc: 0.0000e+00 - val_loss: 0.0100 - val_acc: 0.0000e+00
Epoch 30/40
30/30 [==============================] - 0s - loss: 0.0283 - acc: 0.0000e+00 - val_loss: 0.0100 - val_acc: 0.0000e+00
Epoch 31/40
30/30 [==============================] - 0s - loss: 0.0261 - acc: 0.0000e+00 - val_loss: 0.0097 - val_acc: 0.0000e+00
Epoch 32/40
30/30 [==============================] - 0s - loss: 0.0245 - acc: 0.0000e+00 - val_loss: 0.0094 - val_acc: 0.0000e+00
Epoch 33/40
30/30 [==============================] - 0s - loss: 0.0279 - acc: 0.0000e+00 - val_loss: 0.0088 - val_acc: 0.0000e+00
Epoch 34/40
30/30 [==============================] - 0s - loss: 0.0274 - acc: 0.0000e+00 - val_loss: 0.0081 - val_acc: 0.0000e+00
Epoch 35/40
30/30 [==============================] - 0s - loss: 0.0219 - acc: 0.0000e+00 - val_loss: 0.0075 - val_acc: 0.0000e+00
Epoch 36/40
30/30 [==============================] - 0s - loss: 0.0269 - acc: 0.0000e+00 - val_loss: 0.0071 - val_acc: 0.0000e+00
Epoch 37/40
30/30 [==============================] - 0s - loss: 0.0242 - acc: 0.0000e+00 - val_loss: 0.0069 - val_acc: 0.0000e+00
Epoch 38/40
30/30 [==============================] - 0s - loss: 0.0235 - acc: 0.0000e+00 - val_loss: 0.0070 - val_acc: 0.0000e+00
Epoch 39/40
30/30 [==============================] - 0s - loss: 0.0281 - acc: 0.0000e+00 - val_loss: 0.0072 - val_acc: 0.0000e+00
Epoch 40/40
30/30 [==============================] - 0s - loss: 0.0280 - acc: 0.0000e+00 - val_loss: 0.0074 - val_acc: 0.0000e+00
case completed: 4
All cases completed!!
In [275]:
total_ans
Out[275]:
[array([ 2., 3., 2., 2., 1., 2., 2., 2., 2., 2., 2., 2., 2.,
2., 2., 1., 3., 2., 2., 1., 2., 2., 2., 2., 2., 2.,
2., 2., 2., 2., 2., 2., 2., 2., 3., 3., 2., 2., 2.,
2., 2., 2., 2., 3., 2., 2., 1., 2., 2., 1., 2., 2.,
2., 2., 2., 2., 2., 2., 3.]),
array([ 3., 4., 3., 3., 3., 4., 4., 2., 4., 4., 3., 4., 3.,
3., 3., 3., 3., 4., 4., 3., 3., 4., 4., 4., 3., 3.,
3., 3., 4., 4., 3., 3., 2., 3., 3., 3., 3., 3., 4.,
4., 3., 3., 3., 3., 3., 3., 4., 2., 3., 3., 4., 3.,
4., 3., 3., 3., 4., 4., 4.]),
array([ 11744., 13556., 18877., 14524., 14094., 12429., 13344.,
8226., 6892., 5692., 7635., 11605., 10471., 13326.,
11992., 13345., 14287., 11901., 15411., 13130., 11847.,
12417., 11660., 5249., 5998., 7023., 7795., 9281.,
10505., 14180., 15272., 12683., 16766., 14914., 12857.,
11917., 12323., 5879., 8393., 8208., 7761., 9543.,
8144., 9954., 10435., 11769., 13544., 17232., 13318.,
15024., 11791., 11072., 11672., 9204., 7347., 9714.,
10393., 12922., 10333.]),
array([ 100., 171., 135., 167., 203., 206., 165., 173., 209.,
208., 137., 95., 102., 108., 122., 158., 141., 125.,
78., 150., 154., 104., 122., 123., 99., 145., 187.,
158., 121., 138., 88., 89., 120., 130., 138., 104.,
86., 85., 167., 214., 149., 119., 155., 131., 93.,
152., 193., 138., 152., 121., 155., 136., 153., 84.,
147., 107., 123., 127., 143.])]
In [250]:
total_ans = np.array(total_ans).reshape(1,-1)
In [247]:
total_ans
Out[247]:
array([[ 2.00000000e+00, 4.00000000e+00, 4.00000000e+00,
4.00000000e+00, 3.00000000e+00, 4.00000000e+00,
3.00000000e+00, 3.00000000e+00, 5.00000000e+00,
5.00000000e+00, 3.00000000e+00, 5.00000000e+00,
3.00000000e+00, 3.00000000e+00, 4.00000000e+00,
4.00000000e+00, 5.00000000e+00, 4.00000000e+00,
3.00000000e+00, 4.00000000e+00, 4.00000000e+00,
4.00000000e+00, 4.00000000e+00, 4.00000000e+00,
4.00000000e+00, 5.00000000e+00, 3.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
4.00000000e+00, 3.00000000e+00, 5.00000000e+00,
4.00000000e+00, 4.00000000e+00, 3.00000000e+00,
4.00000000e+00, 4.00000000e+00, 3.00000000e+00,
5.00000000e+00, 3.00000000e+00, 3.00000000e+00,
5.00000000e+00, 4.00000000e+00, 4.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00, 5.00000000e+00, 4.00000000e+00,
4.00000000e+00, 5.00000000e+00, 4.00000000e+00,
3.00000000e+00, 4.00000000e+00, 4.00000000e+00,
3.00000000e+00, 3.00000000e+00, 1.00000000e+00,
1.00000000e+00, 2.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
1.00000000e+00, 2.00000000e+00, 1.00000000e+00,
2.00000000e+00, 1.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
2.00000000e+00, 1.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
1.00000000e+00, 1.00000000e+00, 1.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
2.00000000e+00, 1.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
2.00000000e+00, 2.00000000e+00, 1.00000000e+00,
1.00000000e+00, 2.00000000e+00, 2.00000000e+00,
2.00000000e+00, 3.00000000e+00, 2.00000000e+00,
1.00000000e+00, 2.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 2.00000000e+00,
2.00000000e+00, 2.00000000e+00, 2.00000000e+00,
2.00000000e+00, 4.00000000e+00, 3.00000000e+00,
2.00000000e+00, 4.00000000e+00, 4.00000000e+00,
2.00000000e+00, 4.00000000e+00, 4.00000000e+00,
2.00000000e+00, 3.00000000e+00, 4.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00, 4.00000000e+00, 3.00000000e+00,
3.00000000e+00, 3.00000000e+00, 4.00000000e+00,
3.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00, 4.00000000e+00, 3.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00, 3.00000000e+00, 4.00000000e+00,
3.00000000e+00, 4.00000000e+00, 4.00000000e+00,
4.00000000e+00, 3.00000000e+00, 4.00000000e+00,
3.00000000e+00, 4.00000000e+00, 3.00000000e+00,
3.00000000e+00, 4.00000000e+00, 4.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
3.00000000e+00, 2.00000000e+00, 3.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
4.00000000e+00, 3.00000000e+00, 3.00000000e+00,
1.43700000e+04, 1.20400000e+04, 7.76600000e+03,
1.50500000e+04, 1.35890000e+04, 1.45690000e+04,
1.29000000e+04, 9.97100000e+03, 9.32700000e+03,
8.48300000e+03, 9.00600000e+03, 7.98600000e+03,
9.01500000e+03, 8.23900000e+03, 9.00100000e+03,
7.90600000e+03, 1.16470000e+04, 8.99400000e+03,
1.08550000e+04, 1.51180000e+04, 1.52050000e+04,
1.39440000e+04, 1.46860000e+04, 1.19160000e+04,
8.37500000e+03, 7.31000000e+03, 1.08790000e+04,
3.44400000e+03, 5.44400000e+03, 3.40600000e+03,
8.93100000e+03, 1.43530000e+04, 9.32600000e+03,
4.46900000e+03, 7.68100000e+03, 1.00510000e+04,
9.31900000e+03, 8.01900000e+03, 1.25840000e+04,
7.60500000e+03, 1.01790000e+04, 1.24920000e+04,
1.20980000e+04, 1.38890000e+04, 7.16100000e+03,
7.70800000e+03, 1.32620000e+04, 1.15010000e+04,
1.34130000e+04, 1.14510000e+04, 1.31420000e+04,
1.48930000e+04, 1.12720000e+04, 1.17310000e+04,
1.33480000e+04, 1.42830000e+04, 1.09480000e+04,
1.26090000e+04, 1.10810000e+04, 1.06000000e+02,
1.67000000e+02, 1.64000000e+02, 1.91000000e+02,
1.11000000e+02, 1.81000000e+02, 1.68000000e+02,
1.34000000e+02, 5.30000000e+01, 7.50000000e+01,
1.29000000e+02, 1.35000000e+02, 1.25000000e+02,
1.41000000e+02, 1.80000000e+02, 9.20000000e+01,
1.23000000e+02, 1.60000000e+02, 1.79000000e+02,
1.60000000e+02, 1.12000000e+02, 1.64000000e+02,
1.68000000e+02, 1.32000000e+02, 9.00000000e+01,
1.24000000e+02, 1.31000000e+02, 1.43000000e+02,
1.80000000e+02, 1.59000000e+02, 1.53000000e+02,
1.30000000e+02, 1.29000000e+02, 1.31000000e+02,
1.53000000e+02, 1.27000000e+02, 1.61000000e+02,
1.75000000e+02, 1.65000000e+02, 1.23000000e+02,
9.20000000e+01, 1.22000000e+02, 9.40000000e+01,
5.10000000e+01, 9.20000000e+01, 1.31000000e+02,
2.10000000e+02, 1.35000000e+02, 1.42000000e+02,
1.20000000e+02, 1.73000000e+02, 2.28000000e+02,
2.17000000e+02, 1.82000000e+02, 2.07000000e+02,
1.59000000e+02, 1.54000000e+02, 1.58000000e+02,
1.77000000e+02]])
In [ ]:
Content source: Pytoddler/Kaggle-competition
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