feat(stopwords): removeWords and removeStopwords functions as pre-processors
feat(confidence, WIP): calculate confidence of each classification
This commit is contained in:
Mahdi Dibaiee
@@ -14,26 +14,20 @@ module Main
|
||||
test <- readFile "examples/doc-classifier-data/data-reuters-test"
|
||||
|
||||
classes <- map (filter (/= ' ')) . lines <$> readFile "examples/doc-classifier-data/data-classes"
|
||||
sws <- lines <$> readFile "examples/stopwords"
|
||||
|
||||
let intClasses = [0..length classes - 1]
|
||||
-- let intClasses = [0, 1]
|
||||
documents = cleanDocuments $ createDocuments classes dataset
|
||||
-- documents = [Document "Chinese Beijing Chinese" 0,
|
||||
-- Document "Chinese Chinese Shanghai" 0,
|
||||
-- Document "Chinese Macao" 0,
|
||||
-- Document "Japan Tokyo Chinese" 1]
|
||||
-- testDocuments = [Document "Chinese Chinese Chinese Japan Tokyo" 0]
|
||||
documents = cleanDocuments $ removeWords sws $ createDocuments classes dataset
|
||||
testDocuments = cleanDocuments $ createDocuments classes test
|
||||
devTestDocuments = take 30 testDocuments
|
||||
-- devTestDocuments = [Document "Chinese Chinese Chinese Tokyo Japan" 0]
|
||||
nb = train documents intClasses
|
||||
|
||||
results = map (\(Document text c) -> (c, run text nb)) testDocuments
|
||||
-- results = map (\(Document text c) -> (c, run text nb)) devTestDocuments
|
||||
|
||||
-- print (text $ head documents)
|
||||
print (text $ head documents)
|
||||
|
||||
let showResults (c, r) = putStrLn (classes !! c ++ " ~ " ++ classes !! r)
|
||||
let showResults (c, (r, confidence)) = putStrLn (classes !! c ++ " ~ " ++ classes !! r)
|
||||
mapM_ showResults results
|
||||
|
||||
putStrLn $ "Recall: " ++ show (recall results)
|
||||
|
||||
665
examples/stopwords
Normal file
665
examples/stopwords
Normal file
@@ -0,0 +1,665 @@
|
||||
a
|
||||
able
|
||||
about
|
||||
above
|
||||
abst
|
||||
accordance
|
||||
according
|
||||
accordingly
|
||||
across
|
||||
act
|
||||
actually
|
||||
added
|
||||
adj
|
||||
affected
|
||||
affecting
|
||||
affects
|
||||
after
|
||||
afterwards
|
||||
again
|
||||
against
|
||||
ah
|
||||
all
|
||||
almost
|
||||
alone
|
||||
along
|
||||
already
|
||||
also
|
||||
although
|
||||
always
|
||||
am
|
||||
among
|
||||
amongst
|
||||
an
|
||||
and
|
||||
announce
|
||||
another
|
||||
any
|
||||
anybody
|
||||
anyhow
|
||||
anymore
|
||||
anyone
|
||||
anything
|
||||
anyway
|
||||
anyways
|
||||
anywhere
|
||||
apparently
|
||||
approximately
|
||||
are
|
||||
aren
|
||||
arent
|
||||
arise
|
||||
around
|
||||
as
|
||||
aside
|
||||
ask
|
||||
asking
|
||||
at
|
||||
auth
|
||||
available
|
||||
away
|
||||
awfully
|
||||
b
|
||||
back
|
||||
be
|
||||
became
|
||||
because
|
||||
become
|
||||
becomes
|
||||
becoming
|
||||
been
|
||||
before
|
||||
beforehand
|
||||
begin
|
||||
beginning
|
||||
beginnings
|
||||
begins
|
||||
behind
|
||||
being
|
||||
believe
|
||||
below
|
||||
beside
|
||||
besides
|
||||
between
|
||||
beyond
|
||||
biol
|
||||
both
|
||||
brief
|
||||
briefly
|
||||
but
|
||||
by
|
||||
c
|
||||
ca
|
||||
came
|
||||
can
|
||||
cannot
|
||||
can't
|
||||
cause
|
||||
causes
|
||||
certain
|
||||
certainly
|
||||
co
|
||||
com
|
||||
come
|
||||
comes
|
||||
contain
|
||||
containing
|
||||
contains
|
||||
could
|
||||
couldnt
|
||||
d
|
||||
date
|
||||
did
|
||||
didn't
|
||||
different
|
||||
do
|
||||
does
|
||||
doesn't
|
||||
doing
|
||||
done
|
||||
don't
|
||||
down
|
||||
downwards
|
||||
due
|
||||
during
|
||||
e
|
||||
each
|
||||
ed
|
||||
edu
|
||||
effect
|
||||
eg
|
||||
eight
|
||||
eighty
|
||||
either
|
||||
else
|
||||
elsewhere
|
||||
end
|
||||
ending
|
||||
enough
|
||||
especially
|
||||
et
|
||||
et-al
|
||||
etc
|
||||
even
|
||||
ever
|
||||
every
|
||||
everybody
|
||||
everyone
|
||||
everything
|
||||
everywhere
|
||||
ex
|
||||
except
|
||||
f
|
||||
far
|
||||
few
|
||||
ff
|
||||
fifth
|
||||
first
|
||||
five
|
||||
fix
|
||||
followed
|
||||
following
|
||||
follows
|
||||
for
|
||||
former
|
||||
formerly
|
||||
forth
|
||||
found
|
||||
four
|
||||
from
|
||||
further
|
||||
furthermore
|
||||
g
|
||||
gave
|
||||
get
|
||||
gets
|
||||
getting
|
||||
give
|
||||
given
|
||||
gives
|
||||
giving
|
||||
go
|
||||
goes
|
||||
gone
|
||||
got
|
||||
gotten
|
||||
h
|
||||
had
|
||||
happens
|
||||
hardly
|
||||
has
|
||||
hasn't
|
||||
have
|
||||
haven't
|
||||
having
|
||||
he
|
||||
hed
|
||||
hence
|
||||
her
|
||||
here
|
||||
hereafter
|
||||
hereby
|
||||
herein
|
||||
heres
|
||||
hereupon
|
||||
hers
|
||||
herself
|
||||
hes
|
||||
hi
|
||||
hid
|
||||
him
|
||||
himself
|
||||
his
|
||||
hither
|
||||
home
|
||||
how
|
||||
howbeit
|
||||
however
|
||||
hundred
|
||||
i
|
||||
id
|
||||
ie
|
||||
if
|
||||
i'll
|
||||
im
|
||||
immediate
|
||||
immediately
|
||||
importance
|
||||
important
|
||||
in
|
||||
inc
|
||||
indeed
|
||||
index
|
||||
information
|
||||
instead
|
||||
into
|
||||
invention
|
||||
inward
|
||||
is
|
||||
isn't
|
||||
it
|
||||
itd
|
||||
it'll
|
||||
its
|
||||
itself
|
||||
i've
|
||||
j
|
||||
just
|
||||
k
|
||||
keep keeps
|
||||
kept
|
||||
kg
|
||||
km
|
||||
know
|
||||
known
|
||||
knows
|
||||
l
|
||||
largely
|
||||
last
|
||||
lately
|
||||
later
|
||||
latter
|
||||
latterly
|
||||
least
|
||||
less
|
||||
lest
|
||||
let
|
||||
lets
|
||||
like
|
||||
liked
|
||||
likely
|
||||
line
|
||||
little
|
||||
'll
|
||||
look
|
||||
looking
|
||||
looks
|
||||
ltd
|
||||
m
|
||||
made
|
||||
mainly
|
||||
make
|
||||
makes
|
||||
many
|
||||
may
|
||||
maybe
|
||||
me
|
||||
mean
|
||||
means
|
||||
meantime
|
||||
meanwhile
|
||||
merely
|
||||
mg
|
||||
might
|
||||
million
|
||||
miss
|
||||
ml
|
||||
more
|
||||
moreover
|
||||
most
|
||||
mostly
|
||||
mr
|
||||
mrs
|
||||
much
|
||||
mug
|
||||
must
|
||||
my
|
||||
myself
|
||||
n
|
||||
na
|
||||
name
|
||||
namely
|
||||
nay
|
||||
nd
|
||||
near
|
||||
nearly
|
||||
necessarily
|
||||
necessary
|
||||
need
|
||||
needs
|
||||
neither
|
||||
never
|
||||
nevertheless
|
||||
new
|
||||
next
|
||||
nine
|
||||
ninety
|
||||
no
|
||||
nobody
|
||||
non
|
||||
none
|
||||
nonetheless
|
||||
noone
|
||||
nor
|
||||
normally
|
||||
nos
|
||||
not
|
||||
noted
|
||||
nothing
|
||||
now
|
||||
nowhere
|
||||
o
|
||||
obtain
|
||||
obtained
|
||||
obviously
|
||||
of
|
||||
off
|
||||
often
|
||||
oh
|
||||
ok
|
||||
okay
|
||||
old
|
||||
omitted
|
||||
on
|
||||
once
|
||||
one
|
||||
ones
|
||||
only
|
||||
onto
|
||||
or
|
||||
ord
|
||||
other
|
||||
others
|
||||
otherwise
|
||||
ought
|
||||
our
|
||||
ours
|
||||
ourselves
|
||||
out
|
||||
outside
|
||||
over
|
||||
overall
|
||||
owing
|
||||
own
|
||||
p
|
||||
page
|
||||
pages
|
||||
part
|
||||
particular
|
||||
particularly
|
||||
past
|
||||
per
|
||||
perhaps
|
||||
placed
|
||||
please
|
||||
plus
|
||||
poorly
|
||||
possible
|
||||
possibly
|
||||
potentially
|
||||
pp
|
||||
predominantly
|
||||
present
|
||||
previously
|
||||
primarily
|
||||
probably
|
||||
promptly
|
||||
proud
|
||||
provides
|
||||
put
|
||||
q
|
||||
que
|
||||
quickly
|
||||
quite
|
||||
qv
|
||||
r
|
||||
ran
|
||||
rather
|
||||
rd
|
||||
re
|
||||
readily
|
||||
really
|
||||
recent
|
||||
recently
|
||||
ref
|
||||
refs
|
||||
regarding
|
||||
regardless
|
||||
regards
|
||||
related
|
||||
relatively
|
||||
research
|
||||
respectively
|
||||
resulted
|
||||
resulting
|
||||
results
|
||||
right
|
||||
run
|
||||
s
|
||||
said
|
||||
same
|
||||
saw
|
||||
say
|
||||
saying
|
||||
says
|
||||
sec
|
||||
section
|
||||
see
|
||||
seeing
|
||||
seem
|
||||
seemed
|
||||
seeming
|
||||
seems
|
||||
seen
|
||||
self
|
||||
selves
|
||||
sent
|
||||
seven
|
||||
several
|
||||
shall
|
||||
she
|
||||
shed
|
||||
she'll
|
||||
shes
|
||||
should
|
||||
shouldn't
|
||||
show
|
||||
showed
|
||||
shown
|
||||
showns
|
||||
shows
|
||||
significant
|
||||
significantly
|
||||
similar
|
||||
similarly
|
||||
since
|
||||
six
|
||||
slightly
|
||||
so
|
||||
some
|
||||
somebody
|
||||
somehow
|
||||
someone
|
||||
somethan
|
||||
something
|
||||
sometime
|
||||
sometimes
|
||||
somewhat
|
||||
somewhere
|
||||
soon
|
||||
sorry
|
||||
specifically
|
||||
specified
|
||||
specify
|
||||
specifying
|
||||
still
|
||||
stop
|
||||
strongly
|
||||
sub
|
||||
substantially
|
||||
successfully
|
||||
such
|
||||
sufficiently
|
||||
suggest
|
||||
sup
|
||||
sure t
|
||||
take
|
||||
taken
|
||||
taking
|
||||
tell
|
||||
tends
|
||||
th
|
||||
than
|
||||
thank
|
||||
thanks
|
||||
thanx
|
||||
that
|
||||
that'll
|
||||
thats
|
||||
that've
|
||||
the
|
||||
their
|
||||
theirs
|
||||
them
|
||||
themselves
|
||||
then
|
||||
thence
|
||||
there
|
||||
thereafter
|
||||
thereby
|
||||
thered
|
||||
therefore
|
||||
therein
|
||||
there'll
|
||||
thereof
|
||||
therere
|
||||
theres
|
||||
thereto
|
||||
thereupon
|
||||
there've
|
||||
these
|
||||
they
|
||||
theyd
|
||||
they'll
|
||||
theyre
|
||||
they've
|
||||
think
|
||||
this
|
||||
those
|
||||
thou
|
||||
though
|
||||
thoughh
|
||||
thousand
|
||||
throug
|
||||
through
|
||||
throughout
|
||||
thru
|
||||
thus
|
||||
til
|
||||
tip
|
||||
to
|
||||
together
|
||||
too
|
||||
took
|
||||
toward
|
||||
towards
|
||||
tried
|
||||
tries
|
||||
truly
|
||||
try
|
||||
trying
|
||||
ts
|
||||
twice
|
||||
two
|
||||
u
|
||||
un
|
||||
under
|
||||
unfortunately
|
||||
unless
|
||||
unlike
|
||||
unlikely
|
||||
until
|
||||
unto
|
||||
up
|
||||
upon
|
||||
ups
|
||||
us
|
||||
use
|
||||
used
|
||||
useful
|
||||
usefully
|
||||
usefulness
|
||||
uses
|
||||
using
|
||||
usually
|
||||
v
|
||||
value
|
||||
various
|
||||
've
|
||||
very
|
||||
via
|
||||
viz
|
||||
vol
|
||||
vols
|
||||
vs
|
||||
w
|
||||
want
|
||||
wants
|
||||
was
|
||||
wasnt
|
||||
way
|
||||
we
|
||||
wed
|
||||
welcome
|
||||
we'll
|
||||
went
|
||||
were
|
||||
werent
|
||||
we've
|
||||
what
|
||||
whatever
|
||||
what'll
|
||||
whats
|
||||
when
|
||||
whence
|
||||
whenever
|
||||
where
|
||||
whereafter
|
||||
whereas
|
||||
whereby
|
||||
wherein
|
||||
wheres
|
||||
whereupon
|
||||
wherever
|
||||
whether
|
||||
which
|
||||
while
|
||||
whim
|
||||
whither
|
||||
who
|
||||
whod
|
||||
whoever
|
||||
whole
|
||||
who'll
|
||||
whom
|
||||
whomever
|
||||
whos
|
||||
whose
|
||||
why
|
||||
widely
|
||||
willing
|
||||
wish
|
||||
with
|
||||
within
|
||||
without
|
||||
wont
|
||||
words
|
||||
world
|
||||
would
|
||||
wouldnt
|
||||
www
|
||||
x
|
||||
y
|
||||
yes
|
||||
yet
|
||||
you
|
||||
youd
|
||||
you'll
|
||||
your
|
||||
youre
|
||||
yours
|
||||
yourself
|
||||
yourselves
|
||||
you've
|
||||
z
|
||||
zero
|
||||
@@ -12,6 +12,9 @@ module Sibe.NaiveBayes
|
||||
stdev,
|
||||
cleanText,
|
||||
cleanDocuments,
|
||||
ngram,
|
||||
removeWords,
|
||||
removeStopwords,
|
||||
)
|
||||
where
|
||||
import Data.List
|
||||
@@ -21,7 +24,7 @@ module Sibe.NaiveBayes
|
||||
import Data.Maybe
|
||||
import Control.Arrow ((&&&))
|
||||
import Text.Regex.PCRE
|
||||
import Data.Char (isSpace)
|
||||
import Data.Char (isSpace, isNumber)
|
||||
import NLP.Stemmer
|
||||
|
||||
type Class = Int;
|
||||
@@ -36,6 +39,7 @@ module Sibe.NaiveBayes
|
||||
, megadoc :: String
|
||||
, cd :: [(Class, [Document])]
|
||||
, cw :: [(Class, [(String, Int)])]
|
||||
, cgram :: [(Class, [(String, Int)])]
|
||||
} deriving (Eq, Show, Read)
|
||||
|
||||
train :: [Document] -> [Class] -> NB
|
||||
@@ -49,7 +53,9 @@ module Sibe.NaiveBayes
|
||||
cd = zip classes (map classDocs classes)
|
||||
|
||||
-- (class, [(word, count)])
|
||||
cw = zip classes $ l (map classWordsCounts classes)
|
||||
cw = zip classes $ map classWordsCounts classes
|
||||
|
||||
cgram = zip classes $ map classNGramCounts classes
|
||||
|
||||
in NB { documents = documents
|
||||
, classes = cls
|
||||
@@ -57,44 +63,60 @@ module Sibe.NaiveBayes
|
||||
, megadoc = megadoc
|
||||
, cd = cd
|
||||
, cw = cw
|
||||
, cgram = cgram
|
||||
}
|
||||
where
|
||||
concatDocs = concatMap (\(Document text _) -> text ++ " ")
|
||||
|
||||
classDocs x = filter ((==x) . c) documents
|
||||
classMegadoc x = concatMap (\(Document text _) -> text ++ " ") (classDocs x)
|
||||
classWords x = words (classMegadoc x)
|
||||
classNGram n = ngram n . classMegadoc
|
||||
classVocabulary x = ordNub (classWords x)
|
||||
classMegadoc = concatMap (\(Document text _) -> text ++ " ") . classDocs
|
||||
classWords = words . classMegadoc
|
||||
classNGram = concatMap (\(Document text _) -> text ++ " ") . ngram 2 . classDocs
|
||||
classNGramWords = words . classNGram
|
||||
classVocabulary = ordNub . classWords
|
||||
classPrior x = genericLength (classDocs x) / genericLength documents
|
||||
countWordInDoc d w = genericLength (filter (==w) d)
|
||||
classWordsCounts x =
|
||||
let voc = classVocabulary x
|
||||
in zip voc $ map (countWordInDoc (classWords x)) voc
|
||||
wordsCount ws voc =
|
||||
zip voc $ map (countWordInDoc ws) voc
|
||||
classWordsCounts x = wordsCount (classWords x) (classVocabulary x)
|
||||
classNGramCounts x = wordsCount (classNGramWords x) (ordNub $ classNGramWords x)
|
||||
|
||||
ngram :: Int -> String -> [String]
|
||||
ngram n text =
|
||||
let ws = words text
|
||||
in map (\(i, w) -> unwords $ w:((take (n - 1) . drop (i+1)) ws)) (zip [0..] ws)
|
||||
ngram :: Int -> [Document] -> [Document]
|
||||
ngram n documents =
|
||||
map (\(Document text c) -> Document (helper text) c) documents
|
||||
where
|
||||
helper text =
|
||||
let ws = words text
|
||||
pairs = zip [0..] ws
|
||||
grams = map (\(i, w) -> concat . intersperse "_" $ w:((take (n - 1) . drop (i+1)) ws)) pairs
|
||||
in unwords ("<b>":grams)
|
||||
|
||||
run :: String -> NB -> Class
|
||||
run text (NB documents classes vocabulary megadoc cd cw) =
|
||||
run :: String -> NB -> (Class, Double)
|
||||
run txt (NB documents classes vocabulary megadoc cd cw cgram) =
|
||||
let scores = map (score . fst) classes
|
||||
in argmax scores
|
||||
index = argmax scores
|
||||
m = maximum scores
|
||||
confidence = m / sum scores
|
||||
in (index, 0)
|
||||
where
|
||||
score c =
|
||||
let prior = snd (classes !! c)
|
||||
in prior * product (map (prob c) (words text))
|
||||
|
||||
-- below is the formula according to Multinominal Naive Bayes, but it seems
|
||||
-- using a uniform prior probability seems to work better
|
||||
-- in prior * product (map (prob c) (words txt))
|
||||
|
||||
in product (map (prob c) (words txt))
|
||||
|
||||
prob c w =
|
||||
let tctM = find ((==w) . fst) (snd (cw !! c))
|
||||
tct = (snd . fromJust) tctM
|
||||
cvoc = (genericLength . snd) (cw !! c)
|
||||
let tctM = find ((== w) . fst) (snd (cw !! c))
|
||||
tct = if isJust tctM then (snd . fromJust) tctM else 0
|
||||
cvoc = sum $ map snd (snd (cw !! c))
|
||||
voc = vocabulary
|
||||
in
|
||||
if isJust tctM then
|
||||
realToFrac (tct + 1) / realToFrac (cvoc + voc)
|
||||
else
|
||||
1 / realToFrac (cvoc + voc)
|
||||
gram = find ((==w) . last . splitOn "_" . fst) (snd (cgram !! c))
|
||||
pg = if isJust gram then (snd . fromJust) gram else 0
|
||||
-- in realToFrac (tct * pg + 1) / realToFrac (cvoc + voc) -- uncomment to enable ngrams
|
||||
in realToFrac (tct + 1) / realToFrac (cvoc + voc)
|
||||
|
||||
argmax :: (Ord a) => [a] -> Int
|
||||
argmax x = fst $ maximumBy (\(_, a) (_, b) -> a `compare` b) (zip [0..] x)
|
||||
@@ -113,7 +135,8 @@ module Sibe.NaiveBayes
|
||||
let puncs = filter (`notElem` ['!', '"', '#', '$', '%', '(', ')', '.', '?']) (trim string)
|
||||
spacify = foldl (\acc x -> replace x ' ' acc) puncs [',', '/', '-', '\n', '\r']
|
||||
stemmed = unwords $ map (stem Porter) (words spacify)
|
||||
in stemmed
|
||||
nonumber = filter (not . isNumber) stemmed
|
||||
in (unwords . words) nonumber
|
||||
where
|
||||
trim = f . f
|
||||
where
|
||||
@@ -124,11 +147,21 @@ module Sibe.NaiveBayes
|
||||
cleanDocuments :: [Document] -> [Document]
|
||||
cleanDocuments documents =
|
||||
let cleaned = map (\(Document text c) -> Document (cleanText text) c) documents
|
||||
wc = wordCounts (concatDocs cleaned)
|
||||
in cleaned
|
||||
|
||||
removeWords :: [String] -> [Document] -> [Document]
|
||||
removeWords ws documents =
|
||||
map (\(Document text c) -> Document (rm ws text) c) documents
|
||||
where
|
||||
rm list text =
|
||||
unwords $ filter (`notElem` list) (words text)
|
||||
|
||||
removeStopwords :: Int -> [Document] -> [Document]
|
||||
removeStopwords i documents =
|
||||
let wc = wordCounts (concatDocs documents)
|
||||
wlist = sortBy (\(_, a) (_, b) -> b `compare` a) wc
|
||||
stopwords = l $ map fst (take 30 wlist)
|
||||
wstopwords = map (\(Document text c) -> Document (removeWords stopwords text) c) cleaned
|
||||
in wstopwords
|
||||
stopwords = map fst (take i wlist)
|
||||
in removeWords stopwords documents
|
||||
where
|
||||
vocabulary x = ordNub (words x)
|
||||
countWordInDoc d w = genericLength (filter (==w) d)
|
||||
@@ -136,9 +169,6 @@ module Sibe.NaiveBayes
|
||||
let voc = vocabulary x
|
||||
in zip voc $ map (countWordInDoc (words x)) voc
|
||||
|
||||
removeWords list text =
|
||||
unwords $ filter (`notElem` list) (words text)
|
||||
|
||||
concatDocs = concatMap (\(Document text _) -> text ++ " ")
|
||||
|
||||
l :: (Show a) => a -> a
|
||||
@@ -151,37 +181,38 @@ module Sibe.NaiveBayes
|
||||
go s (x:xs) = if x `Set.member` s then go s xs
|
||||
else x : go (Set.insert x s) xs
|
||||
|
||||
accuracy :: [(Int, Int)] -> Double
|
||||
accuracy :: [(Int, (Int, Double))] -> Double
|
||||
accuracy results =
|
||||
let correct = filter (uncurry (==)) results
|
||||
let pairs = map (\(a, b) -> (a, fst b)) results
|
||||
correct = filter (uncurry (==)) pairs
|
||||
in genericLength correct / genericLength results
|
||||
|
||||
recall :: [(Int, Int)] -> Double
|
||||
recall :: [(Int, (Int, Double))] -> Double
|
||||
recall results =
|
||||
let classes = ordNub (map fst results)
|
||||
s = sum (map rec classes) / genericLength classes
|
||||
in s
|
||||
where
|
||||
rec a =
|
||||
let t = genericLength $ filter (\(c, r) -> c == r && c == a) results
|
||||
y = genericLength $ filter (\(c, r) -> c == a) results
|
||||
let t = genericLength $ filter (\(c, (r, _)) -> c == r && c == a) results
|
||||
y = genericLength $ filter (\(c, (r, _)) -> c == a) results
|
||||
in t / y
|
||||
|
||||
precision :: [(Int, Int)] -> Double
|
||||
precision :: [(Int, (Int, Double))] -> Double
|
||||
precision results =
|
||||
let classes = ordNub (map fst results)
|
||||
s = sum (map prec classes) / genericLength classes
|
||||
in s
|
||||
where
|
||||
prec a =
|
||||
let t = genericLength $ filter (\(c, r) -> c == r && c == a) results
|
||||
y = genericLength $ filter (\(c, r) -> r == a) results
|
||||
let t = genericLength $ filter (\(c, (r, _)) -> c == r && c == a) results
|
||||
y = genericLength $ filter (\(c, (r, _)) -> r == a) results
|
||||
in
|
||||
if y == 0
|
||||
then 0
|
||||
else t / y
|
||||
|
||||
fmeasure :: [(Int, Int)] -> Double
|
||||
fmeasure :: [(Int, (Int, Double))] -> Double
|
||||
fmeasure results =
|
||||
let r = recall results
|
||||
p = precision results
|
||||
|
||||
Reference in New Issue
Block a user