Explained as: linear model

Features with largest coefficients per class.
Caveats:
1. Be careful with features which are not
   independent - weights don't show their importance.
2. If scale of input features is different then scale of coefficients
   will also be different, making direct comparison between coefficient values
   incorrect.
3. Depending on regularization, rare features sometimes may have high
   coefficients; this doesn't mean they contribute much to the
   classification result for most examples.
y=Canada top features y=HongKong top features y=India top features y=Ireland top features y=Jamaica top features y=Nigeria top features y=Philippines top features y=Singapore top features y=SriLanka top features y=USA top features
Weight? Feature
+2.129 canadians
+1.966 employer
+1.944 hannah
+1.783 conventions
+1.665 unclear
+1.651 prairie
+1.608 cegep
+1.581 ash
+1.536 we
+1.478 biotechnology
+1.462 concordia
+1.440 scotia
+1.436 cat
+1.411 sshrc
+1.411 provincial
+1.405 nova
+1.362 ui
+1.361 information
+1.349 groups
+1.347 centre
… 15879 more positive …
… 49444 more negative …
-1.241 road
-1.286 was
-1.405 mr
-1.961 hope
-6.006 can
Weight? Feature
+2.151 government
+2.101 can
+2.022 mr
+1.921 body
+1.682 wong
+1.663 beijing
+1.661 japanese
+1.649 licence
+1.639 mediation
+1.611 yuen
+1.574 political
+1.528 chung
+1.509 ch
+1.501 kowloon
+1.468 hkac
+1.446 capitalism
+1.419 diabetes
+1.395 frank
+1.394 po
+1.378 deviant
… 15358 more positive …
… 47655 more negative …
-1.208 state
-1.557 this
-1.574 country
-1.589 national
-2.037 that
Weight? Feature
+1.442 of
+0.817 mabel
+0.806 singh
+0.788 subhro
+0.732 narasimha
+0.722 college
+0.699 monolina
+0.692 crore
+0.679 duff
+0.672 religion
+0.671 prof
+0.670 annuity
+0.659 books
+0.658 has
+0.656 ayer
+0.639 earth
+0.632 wylie
+0.626 line
+0.609 letter
+0.608 music
… 17822 more positive …
… 29508 more negative …
-0.499 registrant
-0.596 oil
-0.602 for
-0.944 that
-11.279 in
Weight? Feature
+3.445 northern
+2.388 ulster
+2.114 christmas
+2.065 cannabis
+1.824 sign
+1.783 groundwater
+1.668 on
+1.628 ail
+1.617 in
+1.563 narratives
+1.520 garda
+1.514 community
+1.503 kay
+1.436 queen
+1.419 bullet
+1.405 jude
+1.386 xmas
+1.346 ye
+1.340 advice
+1.324 turloughs
… 14395 more positive …
… 49248 more negative …
-1.004 one
-1.009 program
-1.018 <BIAS>
-1.045 am
-1.100 teachers
Weight? Feature
+2.756 indies
+2.386 st
+2.174 mechtilde
+2.113 am
+1.902 clea
+1.803 hi
+1.802 energy
+1.788 miss
+1.764 seaga
+1.760 west
+1.710 persons
+1.632 linguistics
+1.617 water
+1.616 mi
+1.605 yuh
+1.600 crab
+1.569 campus
+1.568 ml
+1.512 shipping
+1.484 mud
… 14187 more positive …
… 49770 more negative …
-1.141 state
-1.156 ll
-1.306 it
-1.341 ve
-1.343 <BIAS>
Weight? Feature
+2.381 state
+2.261 niger
+1.891 corrosion
+1.872 delta
+1.770 kehinde
+1.765 facebook
+1.750 mazi
+1.739 federal
+1.651 donat
+1.606 inec
+1.605 breastfeeding
+1.585 god
+1.584 meaning
+1.570 handicapped
+1.547 drying
+1.541 corruption
+1.467 ekid
+1.456 governor
+1.449 urhobo
+1.448 polio
… 13779 more positive …
… 46418 more negative …
-0.928 these
-0.970 program
-0.981 don
-0.996 time
-1.057 an
Weight? Feature
+1.779 labor
+1.732 cattle
+1.701 la
+1.691 nog
+1.654 romina
+1.650 center
+1.627 edsa
+1.610 metro
+1.594 differance
+1.508 president
+1.490 milf
+1.487 program
+1.484 inez
+1.484 sa
+1.459 mindanao
+1.439 percent
+1.422 ang
+1.394 levinas
+1.393 object
+1.393 influenza
… 15933 more positive …
… 51205 more negative …
-0.961 programme
-1.039 at
-1.084 real
-1.114 labour
-1.307 students
Weight? Feature
+1.885 business
+1.807 batik
+1.670 population
+1.646 editors
+1.584 stuart
+1.552 curriculum
+1.550 tickets
+1.525 jeremy
+1.522 hence
+1.504 lienhwa
+1.497 satan
+1.487 client
+1.481 phonecards
+1.476 tong
+1.464 port
+1.458 postscript
+1.448 national
+1.436 staff
+1.394 straits
+1.391 mental
… 15256 more positive …
… 48691 more negative …
-0.952 our
-1.061 people
-1.069 summer
-1.227 says
-1.853 we
Weight? Feature
+3.198 ltte
+1.965 plantation
+1.956 in
+1.903 negotiation
+1.902 2000
+1.896 fashion
+1.808 tamils
+1.796 unp
+1.776 ngo
+1.684 ceylon
+1.658 baby
+1.626 nanotechnology
+1.617 country
+1.598 internet
+1.565 tea
+1.551 cholesterol
+1.525 mudiyanse
+1.512 india
+1.485 rats
+1.449 with
… 16614 more positive …
… 47413 more negative …
-0.955 must
-0.978 they
-1.106 for
-1.139 <BIAS>
-1.538 or
Weight? Feature
+2.095 that
+1.754 copyright
+1.659 synderesis
+1.646 program
+1.633 apartment
+1.626 postmodernism
+1.508 stone
+1.448 kids
+1.440 cancer
+1.432 woman
+1.355 photography
+1.345 fp
+1.335 class
+1.333 twilight
+1.328 sommers
+1.323 ireland
+1.321 carbide
+1.276 europe
+1.276 novices
+1.251 lucid
… 15848 more positive …
… 44849 more negative …
-1.411 was
-1.690 white
-2.080 is
-2.134 university
-2.899 us