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IMDB.drama

active Sparse_ARFF Publicly available Visibility: public Uploaded 02-05-2014 by Jan van Rijn
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Author: Read, Jesse and Bifet, Albert and Pfahringer, Bernhard and Holmes, Geoff Source: Please cite: Read, Jesse & Bifet, Albert & Pfahringer, Bernhard & Holmes, Geoff. (2012). Batch-Incremental versus Instance-Incremental Learning in Dynamic and Evolving Data. 313-323. 10.1007/978-3-642-34156-4_29.

1002 features

Drama (target)	nominal	2 unique values 0 missing
director	numeric	2 unique values 0 missing
lead	numeric	2 unique values 0 missing
rob	numeric	2 unique values 0 missing
-	numeric	2 unique values 0 missing
discover	numeric	2 unique values 0 missing
leader	numeric	2 unique values 0 missing
robbery	numeric	2 unique values 0 missing
--	numeric	2 unique values 0 missing
discovered	numeric	2 unique values 0 missing
leading	numeric	2 unique values 0 missing
robert	numeric	2 unique values 0 missing
1	numeric	2 unique values 0 missing
discovers	numeric	2 unique values 0 missing
leads	numeric	2 unique values 0 missing
rock	numeric	2 unique values 0 missing
10	numeric	2 unique values 0 missing
doctor	numeric	2 unique values 0 missing
learn	numeric	2 unique values 0 missing
role	numeric	2 unique values 0 missing
1984	numeric	2 unique values 0 missing
documentary	numeric	2 unique values 0 missing
learns	numeric	2 unique values 0 missing
romance	numeric	2 unique values 0 missing
1985	numeric	2 unique values 0 missing
doesnt	numeric	2 unique values 0 missing
leave	numeric	2 unique values 0 missing
romantic	numeric	2 unique values 0 missing
1986	numeric	2 unique values 0 missing
dog	numeric	2 unique values 0 missing
leaves	numeric	2 unique values 0 missing
room	numeric	2 unique values 0 missing
1987	numeric	2 unique values 0 missing
don	numeric	2 unique values 0 missing
leaving	numeric	2 unique values 0 missing
run	numeric	2 unique values 0 missing
1988	numeric	2 unique values 0 missing
dont	numeric	2 unique values 0 missing
led	numeric	2 unique values 0 missing
running	numeric	2 unique values 0 missing
1989	numeric	2 unique values 0 missing
door	numeric	2 unique values 0 missing
lee	numeric	2 unique values 0 missing
runs	numeric	2 unique values 0 missing
1990	numeric	2 unique values 0 missing
dr	numeric	2 unique values 0 missing
left	numeric	2 unique values 0 missing
russian	numeric	2 unique values 0 missing
1991	numeric	2 unique values 0 missing
drama	numeric	2 unique values 0 missing
legend	numeric	2 unique values 0 missing
safe	numeric	2 unique values 0 missing
1992	numeric	2 unique values 0 missing
dream	numeric	2 unique values 0 missing
legendary	numeric	2 unique values 0 missing
sam	numeric	2 unique values 0 missing
1993	numeric	2 unique values 0 missing
dreams	numeric	2 unique values 0 missing
letter	numeric	2 unique values 0 missing
san	numeric	2 unique values 0 missing
1994	numeric	2 unique values 0 missing
drive	numeric	2 unique values 0 missing
lies	numeric	2 unique values 0 missing
sarah	numeric	2 unique values 0 missing
1995	numeric	2 unique values 0 missing
driver	numeric	2 unique values 0 missing
life	numeric	2 unique values 0 missing
save	numeric	2 unique values 0 missing
1996	numeric	2 unique values 0 missing
driving	numeric	2 unique values 0 missing
lifestyle	numeric	2 unique values 0 missing
scene	numeric	2 unique values 0 missing
1997	numeric	2 unique values 0 missing
drug	numeric	2 unique values 0 missing
light	numeric	2 unique values 0 missing
scenes	numeric	2 unique values 0 missing
1998	numeric	2 unique values 0 missing
drugs	numeric	2 unique values 0 missing
line	numeric	2 unique values 0 missing
school	numeric	2 unique values 0 missing
1999	numeric	2 unique values 0 missing
due	numeric	2 unique values 0 missing
live	numeric	2 unique values 0 missing
scientist	numeric	2 unique values 0 missing
2	numeric	2 unique values 0 missing
dying	numeric	2 unique values 0 missing
lived	numeric	2 unique values 0 missing
screen	numeric	2 unique values 0 missing
2000	numeric	2 unique values 0 missing
early	numeric	2 unique values 0 missing
lives	numeric	2 unique values 0 missing
sea	numeric	2 unique values 0 missing
2001	numeric	2 unique values 0 missing
earth	numeric	2 unique values 0 missing
living	numeric	2 unique values 0 missing
search	numeric	2 unique values 0 missing
2002	numeric	2 unique values 0 missing
east	numeric	2 unique values 0 missing
local	numeric	2 unique values 0 missing
searching	numeric	2 unique values 0 missing
2003	numeric	2 unique values 0 missing
easy	numeric	2 unique values 0 missing
london	numeric	2 unique values 0 missing
secret	numeric	2 unique values 0 missing
2004	numeric	2 unique values 0 missing
eddie	numeric	2 unique values 0 missing
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secretly	numeric	2 unique values 0 missing
2005	numeric	2 unique values 0 missing
efforts	numeric	2 unique values 0 missing
long	numeric	2 unique values 0 missing
secrets	numeric	2 unique values 0 missing
2006	numeric	2 unique values 0 missing
el	numeric	2 unique values 0 missing
longer	numeric	2 unique values 0 missing
security	numeric	2 unique values 0 missing
2007	numeric	2 unique values 0 missing
emotional	numeric	2 unique values 0 missing
lord	numeric	2 unique values 0 missing
seek	numeric	2 unique values 0 missing
2008	numeric	2 unique values 0 missing
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los	numeric	2 unique values 0 missing
seeks	numeric	2 unique values 0 missing
2009	numeric	2 unique values 0 missing
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seemingly	numeric	2 unique values 0 missing
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3	numeric	2 unique values 0 missing
end	numeric	2 unique values 0 missing
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england	numeric	2 unique values 0 missing
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serial	numeric	2 unique values 0 missing
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series	numeric	2 unique values 0 missing
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lover	numeric	2 unique values 0 missing
service	numeric	2 unique values 0 missing
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set	numeric	2 unique values 0 missing
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sets	numeric	2 unique values 0 missing
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actors	numeric	2 unique values 0 missing
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actress	numeric	2 unique values 0 missing
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shes	numeric	2 unique values 0 missing
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evidence	numeric	2 unique values 0 missing
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maria	numeric	2 unique values 0 missing
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singer	numeric	2 unique values 0 missing
alex	numeric	2 unique values 0 missing
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marriage	numeric	2 unique values 0 missing
singh	numeric	2 unique values 0 missing
alice	numeric	2 unique values 0 missing
eye	numeric	2 unique values 0 missing
married	numeric	2 unique values 0 missing
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eyes	numeric	2 unique values 0 missing
marries	numeric	2 unique values 0 missing
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face	numeric	2 unique values 0 missing
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america	numeric	2 unique values 0 missing
faces	numeric	2 unique values 0 missing
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sisters	numeric	2 unique values 0 missing
american	numeric	2 unique values 0 missing
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situation	numeric	2 unique values 0 missing
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angeles	numeric	2 unique values 0 missing
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match	numeric	2 unique values 0 missing
small	numeric	2 unique values 0 missing
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matter	numeric	2 unique values 0 missing
social	numeric	2 unique values 0 missing
anna	numeric	2 unique values 0 missing
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max	numeric	2 unique values 0 missing
society	numeric	2 unique values 0 missing
answer	numeric	2 unique values 0 missing
families	numeric	2 unique values 0 missing
means	numeric	2 unique values 0 missing
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apartment	numeric	2 unique values 0 missing
famous	numeric	2 unique values 0 missing
meet	numeric	2 unique values 0 missing
solve	numeric	2 unique values 0 missing
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area	numeric	2 unique values 0 missing
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song	numeric	2 unique values 0 missing
army	numeric	2 unique values 0 missing
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member	numeric	2 unique values 0 missing
songs	numeric	2 unique values 0 missing
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members	numeric	2 unique values 0 missing
sons	numeric	2 unique values 0 missing
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fathers	numeric	2 unique values 0 missing
memories	numeric	2 unique values 0 missing
soul	numeric	2 unique values 0 missing
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fear	numeric	2 unique values 0 missing
memory	numeric	2 unique values 0 missing
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feature	numeric	2 unique values 0 missing
men	numeric	2 unique values 0 missing
south	numeric	2 unique values 0 missing
art	numeric	2 unique values 0 missing
features	numeric	2 unique values 0 missing
mental	numeric	2 unique values 0 missing
space	numeric	2 unique values 0 missing
artist	numeric	2 unique values 0 missing
featuring	numeric	2 unique values 0 missing
met	numeric	2 unique values 0 missing
special	numeric	2 unique values 0 missing
artists	numeric	2 unique values 0 missing
feel	numeric	2 unique values 0 missing
mexico	numeric	2 unique values 0 missing
spend	numeric	2 unique values 0 missing
asks	numeric	2 unique values 0 missing
feelings	numeric	2 unique values 0 missing
michael	numeric	2 unique values 0 missing
spends	numeric	2 unique values 0 missing
assigned	numeric	2 unique values 0 missing
feels	numeric	2 unique values 0 missing
middle	numeric	2 unique values 0 missing
spirit	numeric	2 unique values 0 missing
assistant	numeric	2 unique values 0 missing
fellow	numeric	2 unique values 0 missing
mike	numeric	2 unique values 0 missing
stage	numeric	2 unique values 0 missing
attack	numeric	2 unique values 0 missing
female	numeric	2 unique values 0 missing
military	numeric	2 unique values 0 missing
stand	numeric	2 unique values 0 missing
attempt	numeric	2 unique values 0 missing
fight	numeric	2 unique values 0 missing
million	numeric	2 unique values 0 missing
star	numeric	2 unique values 0 missing
attempts	numeric	2 unique values 0 missing
fighting	numeric	2 unique values 0 missing
mind	numeric	2 unique values 0 missing
stars	numeric	2 unique values 0 missing
attention	numeric	2 unique values 0 missing
figure	numeric	2 unique values 0 missing
miss	numeric	2 unique values 0 missing
start	numeric	2 unique values 0 missing
audience	numeric	2 unique values 0 missing
film	numeric	2 unique values 0 missing
missing	numeric	2 unique values 0 missing
starts	numeric	2 unique values 0 missing
baby	numeric	2 unique values 0 missing
filmed	numeric	2 unique values 0 missing
mission	numeric	2 unique values 0 missing
state	numeric	2 unique values 0 missing
back	numeric	2 unique values 0 missing
filmmaker	numeric	2 unique values 0 missing
model	numeric	2 unique values 0 missing
states	numeric	2 unique values 0 missing
bad	numeric	2 unique values 0 missing
films	numeric	2 unique values 0 missing
modern	numeric	2 unique values 0 missing
station	numeric	2 unique values 0 missing
band	numeric	2 unique values 0 missing
final	numeric	2 unique values 0 missing
mom	numeric	2 unique values 0 missing
stay	numeric	2 unique values 0 missing
bank	numeric	2 unique values 0 missing
finally	numeric	2 unique values 0 missing
moment	numeric	2 unique values 0 missing
steal	numeric	2 unique values 0 missing
bar	numeric	2 unique values 0 missing
find	numeric	2 unique values 0 missing
money	numeric	2 unique values 0 missing
steve	numeric	2 unique values 0 missing
based	numeric	2 unique values 0 missing
finding	numeric	2 unique values 0 missing
monster	numeric	2 unique values 0 missing
stolen	numeric	2 unique values 0 missing
battle	numeric	2 unique values 0 missing
finds	numeric	2 unique values 0 missing
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stop	numeric	2 unique values 0 missing
beach	numeric	2 unique values 0 missing
fire	numeric	2 unique values 0 missing
morning	numeric	2 unique values 0 missing
store	numeric	2 unique values 0 missing
beautiful	numeric	2 unique values 0 missing
follow	numeric	2 unique values 0 missing
mother	numeric	2 unique values 0 missing
stories	numeric	2 unique values 0 missing
beauty	numeric	2 unique values 0 missing
food	numeric	2 unique values 0 missing
mothers	numeric	2 unique values 0 missing
story	numeric	2 unique values 0 missing
bed	numeric	2 unique values 0 missing
footage	numeric	2 unique values 0 missing
mountain	numeric	2 unique values 0 missing
strange	numeric	2 unique values 0 missing
begin	numeric	2 unique values 0 missing
football	numeric	2 unique values 0 missing
move	numeric	2 unique values 0 missing
stranger	numeric	2 unique values 0 missing
beginning	numeric	2 unique values 0 missing
force	numeric	2 unique values 0 missing
moves	numeric	2 unique values 0 missing
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movie	numeric	2 unique values 0 missing
streets	numeric	2 unique values 0 missing
believes	numeric	2 unique values 0 missing
forces	numeric	2 unique values 0 missing
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strong	numeric	2 unique values 0 missing
ben	numeric	2 unique values 0 missing
forest	numeric	2 unique values 0 missing
moving	numeric	2 unique values 0 missing
struggle	numeric	2 unique values 0 missing
big	numeric	2 unique values 0 missing
forever	numeric	2 unique values 0 missing
mr	numeric	2 unique values 0 missing
struggles	numeric	2 unique values 0 missing
bill	numeric	2 unique values 0 missing
form	numeric	2 unique values 0 missing
mrs	numeric	2 unique values 0 missing
struggling	numeric	2 unique values 0 missing
billy	numeric	2 unique values 0 missing
fortune	numeric	2 unique values 0 missing
murder	numeric	2 unique values 0 missing
student	numeric	2 unique values 0 missing
birth	numeric	2 unique values 0 missing
found	numeric	2 unique values 0 missing
murdered	numeric	2 unique values 0 missing
students	numeric	2 unique values 0 missing
birthday	numeric	2 unique values 0 missing
france	numeric	2 unique values 0 missing
murders	numeric	2 unique values 0 missing
studio	numeric	2 unique values 0 missing
bit	numeric	2 unique values 0 missing
frank	numeric	2 unique values 0 missing
music	numeric	2 unique values 0 missing
style	numeric	2 unique values 0 missing
black	numeric	2 unique values 0 missing
free	numeric	2 unique values 0 missing
musical	numeric	2 unique values 0 missing
success	numeric	2 unique values 0 missing
blind	numeric	2 unique values 0 missing
freedom	numeric	2 unique values 0 missing
mysterious	numeric	2 unique values 0 missing
successful	numeric	2 unique values 0 missing
blood	numeric	2 unique values 0 missing
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mystery	numeric	2 unique values 0 missing
suddenly	numeric	2 unique values 0 missing
blue	numeric	2 unique values 0 missing
friend	numeric	2 unique values 0 missing
named	numeric	2 unique values 0 missing
suicide	numeric	2 unique values 0 missing
board	numeric	2 unique values 0 missing
friends	numeric	2 unique values 0 missing
national	numeric	2 unique values 0 missing
summer	numeric	2 unique values 0 missing
boat	numeric	2 unique values 0 missing
friendship	numeric	2 unique values 0 missing
native	numeric	2 unique values 0 missing
support	numeric	2 unique values 0 missing
bob	numeric	2 unique values 0 missing
front	numeric	2 unique values 0 missing
nature	numeric	2 unique values 0 missing
survive	numeric	2 unique values 0 missing
body	numeric	2 unique values 0 missing
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neighbor	numeric	2 unique values 0 missing
suspect	numeric	2 unique values 0 missing
bond	numeric	2 unique values 0 missing
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book	numeric	2 unique values 0 missing
future	numeric	2 unique values 0 missing
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system	numeric	2 unique values 0 missing
border	numeric	2 unique values 0 missing
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nick	numeric	2 unique values 0 missing
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talk	numeric	2 unique values 0 missing
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teacher	numeric	2 unique values 0 missing
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offer	numeric	2 unique values 0 missing
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british	numeric	2 unique values 0 missing
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turned	numeric	2 unique values 0 missing
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hollywood	numeric	2 unique values 0 missing
plays	numeric	2 unique values 0 missing
uncle	numeric	2 unique values 0 missing
childhood	numeric	2 unique values 0 missing
home	numeric	2 unique values 0 missing
plot	numeric	2 unique values 0 missing
underground	numeric	2 unique values 0 missing
children	numeric	2 unique values 0 missing
hope	numeric	2 unique values 0 missing
point	numeric	2 unique values 0 missing
understand	numeric	2 unique values 0 missing
chinese	numeric	2 unique values 0 missing
hopes	numeric	2 unique values 0 missing
police	numeric	2 unique values 0 missing
unexpected	numeric	2 unique values 0 missing
choice	numeric	2 unique values 0 missing
horror	numeric	2 unique values 0 missing
political	numeric	2 unique values 0 missing
unique	numeric	2 unique values 0 missing
chris	numeric	2 unique values 0 missing
horse	numeric	2 unique values 0 missing
poor	numeric	2 unique values 0 missing
united	numeric	2 unique values 0 missing
christmas	numeric	2 unique values 0 missing
hospital	numeric	2 unique values 0 missing
popular	numeric	2 unique values 0 missing
university	numeric	2 unique values 0 missing
church	numeric	2 unique values 0 missing
host	numeric	2 unique values 0 missing
portrait	numeric	2 unique values 0 missing
unknown	numeric	2 unique values 0 missing
city	numeric	2 unique values 0 missing
hot	numeric	2 unique values 0 missing
power	numeric	2 unique values 0 missing
van	numeric	2 unique values 0 missing
civil	numeric	2 unique values 0 missing
hotel	numeric	2 unique values 0 missing
powerful	numeric	2 unique values 0 missing
version	numeric	2 unique values 0 missing
claims	numeric	2 unique values 0 missing
hours	numeric	2 unique values 0 missing
powers	numeric	2 unique values 0 missing
vg	numeric	2 unique values 0 missing
class	numeric	2 unique values 0 missing
house	numeric	2 unique values 0 missing
pregnant	numeric	2 unique values 0 missing
victim	numeric	2 unique values 0 missing
classic	numeric	2 unique values 0 missing
huge	numeric	2 unique values 0 missing
present	numeric	2 unique values 0 missing
victims	numeric	2 unique values 0 missing
clear	numeric	2 unique values 0 missing
human	numeric	2 unique values 0 missing
president	numeric	2 unique values 0 missing
video	numeric	2 unique values 0 missing
close	numeric	2 unique values 0 missing
husband	numeric	2 unique values 0 missing
pretty	numeric	2 unique values 0 missing
view	numeric	2 unique values 0 missing
club	numeric	2 unique values 0 missing
idea	numeric	2 unique values 0 missing
priest	numeric	2 unique values 0 missing
village	numeric	2 unique values 0 missing
cold	numeric	2 unique values 0 missing
identity	numeric	2 unique values 0 missing
prince	numeric	2 unique values 0 missing
violence	numeric	2 unique values 0 missing
college	numeric	2 unique values 0 missing
ii	numeric	2 unique values 0 missing
princess	numeric	2 unique values 0 missing
violent	numeric	2 unique values 0 missing
comedy	numeric	2 unique values 0 missing
il	numeric	2 unique values 0 missing
prison	numeric	2 unique values 0 missing
visit	numeric	2 unique values 0 missing
comic	numeric	2 unique values 0 missing
images	numeric	2 unique values 0 missing
private	numeric	2 unique values 0 missing
visits	numeric	2 unique values 0 missing
coming	numeric	2 unique values 0 missing
immediately	numeric	2 unique values 0 missing
problem	numeric	2 unique values 0 missing
voice	numeric	2 unique values 0 missing
common	numeric	2 unique values 0 missing
important	numeric	2 unique values 0 missing
problems	numeric	2 unique values 0 missing
waiting	numeric	2 unique values 0 missing
community	numeric	2 unique values 0 missing
include	numeric	2 unique values 0 missing
process	numeric	2 unique values 0 missing
wanted	numeric	2 unique values 0 missing
company	numeric	2 unique values 0 missing
includes	numeric	2 unique values 0 missing
producer	numeric	2 unique values 0 missing
war	numeric	2 unique values 0 missing
complete	numeric	2 unique values 0 missing
including	numeric	2 unique values 0 missing
production	numeric	2 unique values 0 missing
watch	numeric	2 unique values 0 missing
completely	numeric	2 unique values 0 missing
india	numeric	2 unique values 0 missing
professional	numeric	2 unique values 0 missing
water	numeric	2 unique values 0 missing
computer	numeric	2 unique values 0 missing
indian	numeric	2 unique values 0 missing
professor	numeric	2 unique values 0 missing
ways	numeric	2 unique values 0 missing
con	numeric	2 unique values 0 missing
industry	numeric	2 unique values 0 missing
program	numeric	2 unique values 0 missing
wealthy	numeric	2 unique values 0 missing
conflict	numeric	2 unique values 0 missing
information	numeric	2 unique values 0 missing
project	numeric	2 unique values 0 missing
wedding	numeric	2 unique values 0 missing
consequences	numeric	2 unique values 0 missing
innocent	numeric	2 unique values 0 missing
protect	numeric	2 unique values 0 missing
week	numeric	2 unique values 0 missing
continue	numeric	2 unique values 0 missing
inside	numeric	2 unique values 0 missing
prove	numeric	2 unique values 0 missing
west	numeric	2 unique values 0 missing
continues	numeric	2 unique values 0 missing
inspector	numeric	2 unique values 0 missing
public	numeric	2 unique values 0 missing
western	numeric	2 unique values 0 missing
control	numeric	2 unique values 0 missing
interest	numeric	2 unique values 0 missing
put	numeric	2 unique values 0 missing
white	numeric	2 unique values 0 missing
convince	numeric	2 unique values 0 missing
international	numeric	2 unique values 0 missing
puts	numeric	2 unique values 0 missing
whos	numeric	2 unique values 0 missing
cop	numeric	2 unique values 0 missing
interviews	numeric	2 unique values 0 missing
queen	numeric	2 unique values 0 missing
wife	numeric	2 unique values 0 missing
country	numeric	2 unique values 0 missing
investigate	numeric	2 unique values 0 missing
quest	numeric	2 unique values 0 missing
wild	numeric	2 unique values 0 missing
couple	numeric	2 unique values 0 missing
investigation	numeric	2 unique values 0 missing
question	numeric	2 unique values 0 missing
william	numeric	2 unique values 0 missing
court	numeric	2 unique values 0 missing
involved	numeric	2 unique values 0 missing
questions	numeric	2 unique values 0 missing
win	numeric	2 unique values 0 missing
crash	numeric	2 unique values 0 missing
island	numeric	2 unique values 0 missing
quickly	numeric	2 unique values 0 missing
winning	numeric	2 unique values 0 missing
crazy	numeric	2 unique values 0 missing
isnt	numeric	2 unique values 0 missing
quiet	numeric	2 unique values 0 missing
wins	numeric	2 unique values 0 missing
create	numeric	2 unique values 0 missing
issues	numeric	2 unique values 0 missing
race	numeric	2 unique values 0 missing
witness	numeric	2 unique values 0 missing
created	numeric	2 unique values 0 missing
italian	numeric	2 unique values 0 missing
radio	numeric	2 unique values 0 missing
woman	numeric	2 unique values 0 missing
crew	numeric	2 unique values 0 missing
jack	numeric	2 unique values 0 missing
ranch	numeric	2 unique values 0 missing
women	numeric	2 unique values 0 missing
crime	numeric	2 unique values 0 missing
jail	numeric	2 unique values 0 missing
ray	numeric	2 unique values 0 missing
wont	numeric	2 unique values 0 missing
criminal	numeric	2 unique values 0 missing
james	numeric	2 unique values 0 missing
reach	numeric	2 unique values 0 missing
woods	numeric	2 unique values 0 missing
cross	numeric	2 unique values 0 missing
jane	numeric	2 unique values 0 missing
ready	numeric	2 unique values 0 missing
word	numeric	2 unique values 0 missing
culture	numeric	2 unique values 0 missing
japanese	numeric	2 unique values 0 missing
real	numeric	2 unique values 0 missing
words	numeric	2 unique values 0 missing
dad	numeric	2 unique values 0 missing
jeff	numeric	2 unique values 0 missing
reality	numeric	2 unique values 0 missing
work	numeric	2 unique values 0 missing
daily	numeric	2 unique values 0 missing
jerry	numeric	2 unique values 0 missing
realize	numeric	2 unique values 0 missing
working	numeric	2 unique values 0 missing
dance	numeric	2 unique values 0 missing
jewish	numeric	2 unique values 0 missing
realizes	numeric	2 unique values 0 missing
works	numeric	2 unique values 0 missing
danger	numeric	2 unique values 0 missing
jim	numeric	2 unique values 0 missing
reason	numeric	2 unique values 0 missing
world	numeric	2 unique values 0 missing
dangerous	numeric	2 unique values 0 missing
jimmy	numeric	2 unique values 0 missing
receives	numeric	2 unique values 0 missing
worlds	numeric	2 unique values 0 missing
danny	numeric	2 unique values 0 missing
job	numeric	2 unique values 0 missing
recently	numeric	2 unique values 0 missing
worse	numeric	2 unique values 0 missing
dark	numeric	2 unique values 0 missing
joe	numeric	2 unique values 0 missing
record	numeric	2 unique values 0 missing
writer	numeric	2 unique values 0 missing
date	numeric	2 unique values 0 missing
john	numeric	2 unique values 0 missing
red	numeric	2 unique values 0 missing
wrong	numeric	2 unique values 0 missing
daughter	numeric	2 unique values 0 missing
johnny	numeric	2 unique values 0 missing
refuses	numeric	2 unique values 0 missing
year	numeric	2 unique values 0 missing
daughters	numeric	2 unique values 0 missing
join	numeric	2 unique values 0 missing
relationship	numeric	2 unique values 0 missing
years	numeric	2 unique values 0 missing
david	numeric	2 unique values 0 missing
joins	numeric	2 unique values 0 missing
relationships	numeric	2 unique values 0 missing
york	numeric	2 unique values 0 missing
day	numeric	2 unique values 0 missing
jones	numeric	2 unique values 0 missing
release	numeric	2 unique values 0 missing
young	numeric	2 unique values 0 missing
days	numeric	2 unique values 0 missing
journey	numeric	2 unique values 0 missing
released	numeric	2 unique values 0 missing
younger	numeric	2 unique values 0 missing
de	numeric	2 unique values 0 missing
judge	numeric	2 unique values 0 missing
remains	numeric	2 unique values 0 missing
youth	numeric	2 unique values 0 missing
dead	numeric	2 unique values 0 missing
justice	numeric	2 unique values 0 missing
remote	numeric	2 unique values 0 missing
deadly	numeric	2 unique values 0 missing
key	numeric	2 unique values 0 missing
reporter	numeric	2 unique values 0 missing
deal	numeric	2 unique values 0 missing
kid	numeric	2 unique values 0 missing
rescue	numeric	2 unique values 0 missing
death	numeric	2 unique values 0 missing
kidnapped	numeric	2 unique values 0 missing
responsible	numeric	2 unique values 0 missing
decide	numeric	2 unique values 0 missing
kids	numeric	2 unique values 0 missing
rest	numeric	2 unique values 0 missing
decides	numeric	2 unique values 0 missing
kill	numeric	2 unique values 0 missing
result	numeric	2 unique values 0 missing
decision	numeric	2 unique values 0 missing
killed	numeric	2 unique values 0 missing
results	numeric	2 unique values 0 missing
deep	numeric	2 unique values 0 missing
killer	numeric	2 unique values 0 missing
return	numeric	2 unique values 0 missing
del	numeric	2 unique values 0 missing
killing	numeric	2 unique values 0 missing
returning	numeric	2 unique values 0 missing
department	numeric	2 unique values 0 missing
kills	numeric	2 unique values 0 missing
returns	numeric	2 unique values 0 missing
desert	numeric	2 unique values 0 missing
kind	numeric	2 unique values 0 missing
reveal	numeric	2 unique values 0 missing
desire	numeric	2 unique values 0 missing
king	numeric	2 unique values 0 missing
revealed	numeric	2 unique values 0 missing
desperate	numeric	2 unique values 0 missing
knowing	numeric	2 unique values 0 missing
reveals	numeric	2 unique values 0 missing
destroy	numeric	2 unique values 0 missing
la	numeric	2 unique values 0 missing
revenge	numeric	2 unique values 0 missing
detective	numeric	2 unique values 0 missing
lady	numeric	2 unique values 0 missing
rich	numeric	2 unique values 0 missing
determined	numeric	2 unique values 0 missing
lake	numeric	2 unique values 0 missing
richard	numeric	2 unique values 0 missing
di	numeric	2 unique values 0 missing
land	numeric	2 unique values 0 missing
ride	numeric	2 unique values 0 missing
die	numeric	2 unique values 0 missing
large	numeric	2 unique values 0 missing
ring	numeric	2 unique values 0 missing
died	numeric	2 unique values 0 missing
late	numeric	2 unique values 0 missing
rise	numeric	2 unique values 0 missing
dies	numeric	2 unique values 0 missing
law	numeric	2 unique values 0 missing
rival	numeric	2 unique values 0 missing
difficult	numeric	2 unique values 0 missing
lawyer	numeric	2 unique values 0 missing
river	numeric	2 unique values 0 missing
dinner	numeric	2 unique values 0 missing

Show first 100 features

107 properties

NumberOfInstances

120919

Number of instances (rows) of the dataset.

NumberOfFeatures

1002

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

Number of instances with at least one value missing.

NumberOfNumericFeatures

1001

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

MaxStdDevOfNumericAtts

0.4

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

36.21

Percentage of instances belonging to the least frequent class.

PercentageOfNumericFeatures

99.9

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

0.02

Third quartile of means among attributes of the numeric type.

CfsSubsetEval_DecisionStumpAUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2AUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.ErrRate

0.44

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanAttributeEntropy

Average entropy of the attributes.

MinorityClassSize

43779

Number of instances belonging to the least frequent class.

PercentageOfSymbolicFeatures

0.1

Percentage of nominal attributes.

Quartile3MutualInformation

Third quartile of mutual information between the nominal attributes and the target attribute.

CfsSubsetEval_DecisionStumpErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2ErrRate

0.46

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.00001.Kappa

0.03

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MeanKurtosisOfNumericAtts

71.54

Mean kurtosis among attributes of the numeric type.

NaiveBayesAUC

0.56

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1AttributeEntropy

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

9.95

Third quartile of skewness among attributes of the numeric type.

CfsSubsetEval_DecisionStumpKappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth2Kappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 2

J48.0001.AUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMeansOfNumericAtts

0.02

Mean of means among attributes of the numeric type.

NaiveBayesErrRate

0.42

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1KurtosisOfNumericAtts

44.07

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

0.14

Third quartile of standard deviation of attributes of the numeric type.

CfsSubsetEval_NaiveBayesAUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3AUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.ErrRate

0.44

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanMutualInformation

Average mutual information between the nominal attributes and the target attribute.

NaiveBayesKappa

0.08

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes

Quartile1MeansOfNumericAtts

0.01

First quartile of means among attributes of the numeric type.

REPTreeDepth1AUC

0.54

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3ErrRate

0.46

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.0001.Kappa

0.03

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .0001

MeanNoiseToSignalRatio

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1MutualInformation

First quartile of mutual information between the nominal attributes and the target attribute.

REPTreeDepth1ErrRate

0.37

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_NaiveBayesKappa

Kappa coefficient achieved by the landmarker weka.classifiers.bayes.NaiveBayes -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

RandomTreeDepth3Kappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 3

J48.001.AUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanNominalAttDistinctValues

Average number of distinct values among the attributes of the nominal type.

Quartile1SkewnessOfNumericAtts

6.79

First quartile of skewness among attributes of the numeric type.

REPTreeDepth1Kappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 1

CfsSubsetEval_kNN1NAUC

0.5

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

StdvNominalAttDistinctValues

Standard deviation of the number of distinct values among attributes of the nominal type.

J48.001.ErrRate

0.44

Error rate achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanSkewnessOfNumericAtts

8.26

Mean skewness among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

0.1

First quartile of standard deviation of attributes of the numeric type.

REPTreeDepth2AUC

0.54

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NAUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.lazy.IBk

J48.001.Kappa

0.03

Kappa coefficient achieved by the landmarker weka.classifiers.trees.J48 -C .001

MeanStdDevOfNumericAtts

0.13

Mean standard deviation of attributes of the numeric type.

Quartile2AttributeEntropy

Second quartile (Median) of entropy among attributes.

REPTreeDepth2ErrRate

0.37

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 2

CfsSubsetEval_kNN1NKappa

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk -E "weka.attributeSelection.CfsSubsetEval -P 1 -E 1" -S "weka.attributeSelection.BestFirst -D 1 -N 5" -W

kNN1NErrRate

0.43

Error rate achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassPercentage

63.79

Percentage of instances belonging to the most frequent class.

MinAttributeEntropy

Minimal entropy among attributes.

Quartile2KurtosisOfNumericAtts

71.5

Second quartile (Median) of kurtosis among attributes of the numeric type.

REPTreeDepth2Kappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 2

ClassEntropy

0.94

Entropy of the target attribute values.

kNN1NKappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.lazy.IBk

MajorityClassSize

77140

Number of instances belonging to the most frequent class.

MinKurtosisOfNumericAtts

0.29

Minimum kurtosis among attributes of the numeric type.

Quartile2MeansOfNumericAtts

0.01

Second quartile (Median) of means among attributes of the numeric type.

REPTreeDepth3AUC

0.54

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpAUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxAttributeEntropy

Maximum entropy among attributes.

MinMeansOfNumericAtts

Minimum of means among attributes of the numeric type.

Quartile2MutualInformation

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

REPTreeDepth3ErrRate

0.37

Error rate achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpErrRate

0.36

Error rate achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxKurtosisOfNumericAtts

216.48

Maximum kurtosis among attributes of the numeric type.

MinMutualInformation

Minimal mutual information between the nominal attributes and the target attribute.

Quartile2SkewnessOfNumericAtts

8.57

Second quartile (Median) of skewness among attributes of the numeric type.

REPTreeDepth3Kappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.trees.REPTree -L 3

DecisionStumpKappa

Kappa coefficient achieved by the landmarker weka.classifiers.trees.DecisionStump

MaxMeansOfNumericAtts

0.2

Maximum of means among attributes of the numeric type.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfBinaryFeatures

0.1

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

0.11

Second quartile (Median) of standard deviation of attributes of the numeric type.

RandomTreeDepth1AUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

Dimensionality

0.01

Number of attributes divided by the number of instances.

MaxMutualInformation

Maximum mutual information between the nominal attributes and the target attribute.

MinSkewnessOfNumericAtts

1.51

Minimum skewness among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

Percentage of instances having missing values.

Quartile3AttributeEntropy

Third quartile of entropy among attributes.

RandomTreeDepth1ErrRate

0.46

Error rate achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

EquivalentNumberOfAtts

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinStdDevOfNumericAtts

0.07

Minimum standard deviation of attributes of the numeric type.

PercentageOfMissingValues

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

97.01

Third quartile of kurtosis among attributes of the numeric type.

AutoCorrelation

0.59

Average class difference between consecutive instances.

RandomTreeDepth1Kappa

0.01

Kappa coefficient achieved by the landmarker weka.classifiers.trees.RandomTree -depth 1

J48.00001.AUC

0.51

Area Under the ROC Curve achieved by the landmarker weka.classifiers.trees.J48 -C .00001

MaxSkewnessOfNumericAtts

14.78

Maximum skewness among attributes of the numeric type.

Show all 107 properties

24 tasks

Supervised Classification on IMDB.drama

19 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Drama

Supervised Classification on IMDB.drama

1 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Drama

Supervised Classification on IMDB.drama

1 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: Drama

Supervised Classification on IMDB.drama

0 runs - estimation_procedure: 20% Holdout (Ordered) - evaluation_measure: predictive_accuracy - target_feature: Drama

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class

Supervised Regression on IMDB.drama

0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class

Learning Curve on IMDB.drama

7 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: Drama

Supervised Data Stream Classification on IMDB.drama

325 runs - estimation_procedure: Interleaved Test then Train - target_feature: Drama

Clustering on IMDB.drama