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2
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[
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Evaluation Warning : The document was created with Spire.PDF for Python.
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233
Fu
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r
e
i
n
d
ataset
d
ec
r
ea
s
es
th
e
co
m
p
u
tatio
n
a
l
tim
e
f
o
r
tr
ain
i
n
g
a
n
d
test
in
g
m
o
d
el
[
8
]
.
Hen
ce
,
f
ea
tu
r
e
s
elec
t
io
n
h
elp
s
in
d
ev
elo
p
in
g
m
o
r
e
ef
f
ec
tiv
e
an
d
f
aster
m
o
d
el.
Dif
f
e
r
en
t
r
esear
ch
e
r
s
h
av
e
p
r
o
p
o
s
ed
d
if
f
e
r
en
t
ty
p
es
o
f
f
ea
t
u
r
e
s
elec
tio
n
m
et
h
o
d
s
.
Featu
r
e
s
elec
tio
n
m
eth
o
d
s
ar
e
class
if
ied
in
to
th
r
ee
g
r
o
u
p
s
[
9
]
,
[
1
0
]
n
am
e
ly
f
ilter
,
em
b
ed
d
ed
a
n
d
wr
a
p
p
er
m
eth
o
d
.
T
h
e
p
er
f
o
r
m
an
ce
o
f
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
s
v
ar
ies
ac
r
o
s
s
d
if
f
er
en
t
d
atasets
.
T
h
e
o
b
jectiv
e
o
f
th
is
r
esear
ch
is
to
in
v
esti
g
ate
th
e
p
er
f
o
r
m
a
n
ce
o
f
s
eq
u
en
tial,
em
b
ed
d
ed
an
d
ch
i
-
s
q
u
ar
e
f
o
r
b
r
ea
s
t c
an
ce
r
p
r
ed
i
ctio
n
.
Ov
er
all,
th
is
r
esear
ch
aim
s
to
in
v
esti
g
ate
th
e
an
s
wer
s
to
th
e
f
o
llo
win
g
r
esear
ch
q
u
esti
o
n
s
:
−
W
h
at
is
th
e
p
er
f
o
r
m
a
n
ce
o
f
s
e
q
u
en
tial f
ea
tu
r
e
s
elec
tio
n
f
o
r
b
r
ea
s
t c
an
ce
r
p
r
e
d
ictio
n
?
−
W
h
at
is
th
e
p
er
f
o
r
m
a
n
ce
o
f
e
m
b
ed
d
e
d
f
ea
tu
r
e
s
elec
tio
n
f
o
r
b
r
ea
s
t c
an
ce
r
p
r
ed
ictio
n
?
−
W
h
at
is
th
e
p
er
f
o
r
m
a
n
ce
o
f
c
h
i
-
s
q
u
a
r
e
f
o
r
b
r
ea
s
t c
an
ce
r
p
r
e
d
ictio
n
?
−
Ho
w
to
im
p
r
o
v
e
th
e
p
er
f
o
r
m
a
n
ce
o
f
r
an
d
o
m
f
o
r
est m
o
d
el
f
o
r
b
r
ea
s
t c
an
ce
r
p
r
ed
ictio
n
?
T
h
e
r
est
o
f
th
is
r
esear
ch
is
o
r
g
an
ized
as
f
o
llo
ws:
I
n
s
ec
tio
n
2
,
th
e
s
tate
o
f
th
e
ar
t
is
p
r
esen
ted
,
s
ec
tio
n
3
d
is
cu
s
s
es
th
e
m
eth
o
d
o
lo
g
y
,
s
e
ctio
n
4
p
r
esen
ts
th
e
r
esu
lt
an
d
d
is
cu
s
s
es
th
e
co
m
p
ar
ativ
e
r
e
s
u
lts
an
d
s
ec
tio
n
5
f
in
ally
co
n
clu
d
es th
e
r
esear
ch
.
2.
L
I
T
E
R
AT
U
RE
SU
RVE
Y
Dif
f
er
en
t
r
esear
ch
es
h
av
e
b
ee
n
ca
r
r
ied
o
u
t
to
s
o
lv
e
th
e
p
r
o
b
lem
o
f
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ict
io
n
u
s
in
g
au
to
m
ated
m
ac
h
in
e
lear
n
in
g
m
o
d
el
a
n
d
t
h
er
e
h
a
v
e
b
ee
n
d
if
f
e
r
en
t
au
t
o
m
ated
m
o
d
el
f
o
r
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
.
Ho
we
v
er
,
b
r
ea
s
t
c
an
ce
r
p
r
ed
ictio
n
s
till
n
ee
d
s
t
o
b
e
s
tu
d
ied
as
th
e
p
er
f
o
r
m
a
n
ce
o
f
th
e
ex
is
tin
g
m
o
d
el
h
av
e
lar
g
er
s
co
p
e
f
o
r
i
m
p
r
o
v
e
m
en
t.
Z
h
a
n
g
et
a
l.
[
1
1
]
,
th
e
r
esear
ch
e
r
s
d
ev
elo
p
e
d
d
ec
is
io
n
tr
ee
b
ased
m
o
d
el
f
o
r
b
r
ea
s
t
ca
n
ce
r
p
r
e
d
ictio
n
,
wh
ich
ac
h
iev
ed
an
ac
cu
r
ac
y
o
f
9
7
.
4
8
%.
T
h
e
ex
p
e
r
im
en
t
o
n
v
ar
i
o
u
s
f
ea
t
u
r
e
s
u
b
s
et
e
v
id
en
tly
s
h
o
ws
th
at
f
ea
tu
r
e
s
elec
tio
n
is
i
m
p
o
r
tan
t
to
o
b
tain
g
o
o
d
r
esu
lt
o
n
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
u
s
in
g
d
ec
is
io
n
tr
ee
m
o
d
el
.
F
e
a
t
u
r
e
s
el
e
c
ti
o
n
is
i
m
p
o
r
t
a
n
t
t
o
e
n
h
a
n
c
e
t
h
e
c
l
as
s
i
f
i
c
a
ti
o
n
a
c
c
u
r
a
c
y
o
f
t
h
e
p
r
e
d
i
c
ti
v
e
a
cc
u
r
a
c
y
o
f
a
m
o
d
e
l
f
o
r
b
r
e
a
s
t
ca
n
c
e
r
p
r
e
d
i
ct
i
o
n
.
As
s
e
g
i
e
et
a
l
.
[
1
2
]
,
t
h
e
r
es
e
a
r
c
h
e
r
s
h
a
v
e
s
u
g
g
e
s
t
e
d
t
h
at
,
t
h
e
p
e
r
f
o
r
m
a
n
c
e
o
f
d
e
c
i
s
i
o
n
t
r
e
e
,
a
d
a
p
t
i
v
e
b
o
o
s
t
i
n
g
m
o
d
e
l
g
r
e
a
tl
y
i
m
p
r
o
v
e
s
w
h
e
n
t
h
e
m
o
d
e
l
is
t
r
a
i
n
e
d
o
n
o
p
t
i
m
a
l
i
n
p
u
t
f
e
at
u
r
e
.
M
o
r
e
o
v
e
r
,
o
p
t
i
m
a
l
f
e
a
t
u
r
e
s
e
le
c
t
i
o
n
i
s
s
i
g
n
i
f
i
c
a
n
t
t
o
g
e
t
i
n
s
i
g
h
t
s
i
n
t
o
d
a
t
as
e
t
a
n
d
d
i
s
c
o
v
er
i
m
p
o
r
t
a
n
t
f
e
a
t
u
r
e
f
r
o
m
b
r
e
a
s
t
c
a
n
c
e
r
d
a
t
as
et
.
T
h
e
e
x
p
e
r
i
m
e
n
t
a
l
r
es
u
l
t
r
e
v
e
al
s
t
h
at
a
c
c
u
r
a
c
y
o
f
t
h
e
d
e
v
e
l
o
p
e
d
m
o
d
e
l
i
s
9
2
.
5
3
%
.
Au
to
m
ated
p
r
e
d
ictiv
e
m
o
d
el
is
p
r
o
v
ed
im
p
o
r
tan
t
f
o
r
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
at
ea
r
ly
s
tag
e
an
d
in
cr
ea
s
es
s
u
r
v
iv
al
r
ate
o
f
b
r
ea
s
t
ca
n
ce
r
p
atien
t.
Au
to
m
ated
m
o
d
el
is
m
o
r
e
ac
cu
r
ate
th
a
n
in
ex
p
er
ien
ce
d
h
u
m
an
ex
p
er
ts
o
r
o
n
co
lo
g
is
t
f
o
r
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
[
1
3
]
.
T
h
e
au
th
o
r
s
d
e
v
elo
p
ed
co
n
v
o
lu
tio
n
al
n
eu
r
al
n
etwo
r
k
b
ased
p
r
e
d
ictiv
e
m
o
d
el
f
o
r
b
r
ea
s
t
ca
n
ce
r
d
etec
tio
n
with
p
r
e
d
ictiv
e
ac
cu
r
ac
y
o
f
9
7
%.
I
n
a
d
d
itio
n
t
o
ac
cu
r
ac
y
,
au
to
m
ated
b
r
ea
s
t
ca
n
ce
r
p
r
e
d
ictio
n
m
o
d
el
av
o
id
s
h
u
m
a
n
e
r
r
o
r
s
,
tim
e
a
n
d
c
o
s
t
in
cu
r
r
ed
f
o
r
b
r
ea
s
t
ca
n
ce
r
id
en
tific
atio
n
[
1
4
]
.
Mo
r
eo
v
e
r
,
au
to
m
ate
d
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
m
o
d
el
av
o
id
s
e
x
tr
a
o
v
e
r
lo
ad
o
n
o
n
c
o
lo
g
is
t
esp
ec
ially
wh
er
e
th
e
n
u
m
b
er
o
f
b
r
ea
s
t c
an
ce
r
p
atien
t is h
ig
h
e
r
.
I
n
r
ec
e
n
t
y
ea
r
s
,
a
u
to
m
ated
in
t
ellig
en
t
b
r
ea
s
t
ca
n
ce
r
p
r
e
d
ictio
n
s
y
s
tem
is
im
p
lem
en
te
d
with
d
if
f
e
r
en
t
s
u
p
er
v
is
ed
lear
n
in
g
alg
o
r
ith
m
s
s
u
ch
as,
k
-
n
ea
r
est
n
eig
h
b
o
r
(
KNN)
an
d
ar
tific
ial
n
eu
r
al
n
etwo
r
k
(
ANN)
[
1
5
]
.
Ho
wev
er
,
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
d
ev
elo
p
ed
m
o
d
el
s
till
h
as
s
co
p
e
f
o
r
im
p
r
o
v
em
en
t
f
o
r
m
o
r
e
ac
cu
r
ate
b
r
ea
s
t
ca
n
ce
r
p
r
e
d
ictio
n
.
T
h
u
s
,
we
a
r
e
m
o
tiv
ated
to
s
tu
d
y
th
e
ex
is
tin
g
wo
r
k
a
n
d
p
r
o
p
o
s
e
m
o
r
e
ac
cu
r
ate
m
o
d
el
f
o
r
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
b
y
e
m
p
lo
y
in
g
d
if
f
er
e
n
t
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
s
,
s
u
ch
as
ch
i
-
s
q
u
ar
e,
s
eq
u
en
tial
an
d
em
b
ed
d
e
d
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
.
3.
RE
S
E
ARCH
M
E
T
H
O
DO
L
O
G
Y
T
h
e
d
ataset
f
o
r
th
is
s
tu
d
y
is
o
b
tain
ed
f
r
o
m
W
is
co
n
s
in
’
s
b
r
ea
s
t
ca
n
ce
r
d
iag
n
o
s
tic
d
ata
s
et
co
llected
f
r
o
m
Kag
g
le
d
ata
r
e
p
o
s
ito
r
y
.
T
o
ev
alu
ate
t
h
e
d
ev
el
o
p
ed
m
o
d
el,
we
h
a
v
e
em
p
l
o
y
ed
a
cc
u
r
ac
y
(
n
u
m
b
er
o
f
co
r
r
ec
t
p
r
ed
ictio
n
s
)
with
5
-
f
o
l
d
cr
o
s
s
v
alid
atio
n
.
C
h
i
-
s
q
u
ar
e,
s
eq
u
en
tial
f
ea
tu
r
e
s
elec
tio
n
an
d
m
o
d
el
b
ased
o
r
em
b
ed
d
e
d
f
ea
tu
r
e
s
elec
tio
n
u
s
in
g
r
an
d
o
m
f
o
r
est
m
o
d
el
is
ev
alu
ated
o
n
b
r
ea
s
t
ca
n
ce
r
d
ataset.
W
e
h
av
e
tr
ain
e
d
r
an
d
o
m
f
o
r
est
m
o
d
el
o
n
o
r
ig
i
n
al
3
0
in
p
u
t
f
ea
tu
r
es
r
e
p
r
esen
t
in
g
5
6
9
o
b
s
er
v
atio
n
s
in
th
e
b
r
ea
s
t
ca
n
ce
r
d
ataset.
T
h
en
th
e
m
o
d
el
is
tr
ain
ed
o
n
o
p
tim
al
f
ea
tu
r
e
s
elec
ted
b
y
c
h
i
-
s
q
u
ar
ed
s
eq
u
e
n
tial
f
ea
tu
r
e
s
elec
tio
n
an
d
m
o
d
el
b
ased
f
ea
tu
r
e
s
elec
tio
n
an
d
ac
cu
r
ac
y
is
co
m
p
ar
ed
o
n
m
o
d
el
tr
ain
ed
o
n
o
r
ig
in
al
f
ea
tu
r
es
b
ef
o
r
e
ap
p
ly
i
n
g
th
e
f
ea
tu
r
e
s
elec
tio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
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2
5
0
2
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4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
25
,
No
.
1
,
J
an
u
ar
y
20
22
:
232
-
2
3
7
234
3
.
1
.
Chi
-
s
qu
a
re
(
X
2
)
s
t
a
t
is
t
ic
C
h
i
-
s
q
u
ar
e
is
s
tatis
tica
l
m
eth
o
d
f
o
r
f
ea
tu
r
e
s
elec
tio
n
.
C
h
i
-
s
q
u
ar
e
is
a
ty
p
ical
ex
am
p
le
f
o
r
f
ilter
b
ased
f
ea
tu
r
e
s
elec
tio
n
[
1
6
]
.
C
h
i
-
s
q
u
ar
e
co
m
p
ar
es
two
in
p
u
t
f
ea
tu
r
es
an
d
ex
am
in
es
if
th
ey
ar
e
r
elate
d
.
Ma
th
em
atica
lly
,
ch
i
-
s
q
u
ar
e
is
d
ef
in
ed
as
(
1
)
.
2
=
∑
(
0i
−
E
i
)
y
E
i
(
1
)
W
h
er
e
O
d
en
o
tes
o
b
s
er
v
ed
v
alu
e
an
d
E
d
e
n
o
tes
ex
p
ec
ted
v
alu
e.
T
h
e
s
u
m
m
atio
n
s
y
m
b
o
l
s
h
o
ws
th
at
th
e
ca
lcu
latio
n
is
p
er
f
o
r
m
ed
o
n
ev
er
y
in
p
u
t
f
ea
tu
r
e
in
d
ataset.
C
h
i
-
s
q
u
ar
e
test
i
s
s
h
o
ws
r
ela
ti
o
n
s
h
ip
b
etwe
en
two
v
ar
iab
les
in
d
ataset
[
1
7
]
.
L
o
wer
v
al
u
e
o
f
ch
i
-
s
q
u
a
r
e
s
h
o
ws
h
ig
h
c
o
r
r
elatio
n
b
etwe
en
in
p
u
t
f
ea
tu
r
e
a
n
d
tar
g
e
t
class
o
r
v
ar
iab
le.
3
.
2
.
Sequ
ent
ia
l f
ea
t
ure
s
elec
t
io
n
Seq
u
en
tial
f
ea
tu
r
e
s
elec
tio
n
(
SF
S)
m
eth
o
d
is
wr
ap
p
e
r
f
ea
tu
r
e
s
elec
tio
n
[
1
8
]
,
[
1
9
]
.
Seq
u
e
n
tial
f
ea
tu
r
e
s
elec
tio
n
s
elec
ts
th
e
last
f
ea
tu
r
e
o
r
th
e
f
ir
s
t
f
ea
tu
r
e
i
n
th
e
d
a
taset
in
itially
.
T
h
en
o
n
e
o
f
in
p
u
t
f
ea
tu
r
e
f
r
o
m
t
h
e
r
em
ain
in
g
in
p
u
t
f
ea
tu
r
e
is
s
elec
ted
r
an
d
o
m
ly
an
d
th
e
m
o
d
el
p
er
f
o
r
m
a
n
ce
is
co
m
p
ar
ed
.
T
h
e
p
r
o
ce
s
s
is
r
ep
ea
ted
f
o
r
all
in
p
u
t
f
ea
tu
r
es
an
d
th
e
c
o
r
r
esp
o
n
d
in
g
ac
cu
r
ac
y
f
o
r
ea
ch
in
p
u
t
f
ea
tu
r
e
s
u
b
s
et
is
ca
lcu
lated
.
T
h
e
in
p
u
t su
b
s
et
th
at
p
r
o
d
u
ce
s
h
ig
h
est ac
cu
r
ac
y
is
co
n
s
id
er
e
d
as
o
p
tim
al
in
p
u
t
f
ea
tu
r
e
.
Seq
u
en
tial
f
ea
tu
r
e
s
elec
tio
n
i
s
u
s
ed
to
r
ed
u
ce
an
o
r
ig
i
n
al
N
-
d
im
en
s
io
n
al
in
p
u
t
f
ea
tu
r
e
s
u
b
s
et
to
a
d
-
d
im
en
s
io
n
al
f
ea
tu
r
e
s
et
f
o
r
d
.
I
n
itialize:
Su
b
s
et
=
0
,
M
=
0
<
d
,
i
=
i
+
1
C
omp
ute
mode
l
pe
r
for
ma
n
c
e
on
:
Sub
s
e
t
=
f
δ
∪
b
[
]
=
+
1
f
δ
∪
b
=
f
δ
∪
b
+
1
s
top
whe
n
i
=
m
3
.
3
.
E
m
bedd
ed
f
ea
t
ure
s
elec
t
io
n m
et
ho
d
T
r
ee
b
ased
m
o
d
el
s
u
ch
as
d
ec
is
io
n
tr
ee
an
d
r
a
n
d
o
m
f
o
r
ests
(
en
s
em
b
le
o
f
tr
ee
s
)
a
r
e
u
s
ed
f
o
r
f
ea
tu
r
e
s
elec
tio
n
[
2
0
]
.
Dec
is
io
n
tr
ee
an
d
r
a
n
d
o
m
f
o
r
est
m
o
d
el
is
u
s
ed
to
ca
lcu
late
f
ea
tu
r
e
im
p
o
r
tan
ce
w
h
en
d
ev
elo
p
in
g
a
m
o
d
el
f
o
r
d
eter
m
in
in
g
th
e
b
est
f
ea
tu
r
e
an
d
leav
in
g
u
n
s
u
itab
le
f
ea
tu
r
e,
with
lo
wer
f
ea
tu
r
e
im
p
o
r
tan
ce
s
c
o
r
e
[
2
1
]
,
[
2
2
]
.
R
an
d
o
m
f
o
r
est
is
an
en
s
em
b
l
e
m
o
d
el,
u
s
ed
as
an
em
b
ed
d
ed
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
,
w
h
er
e
ea
ch
d
ec
is
io
n
tr
ee
m
o
d
el
in
th
e
en
s
em
b
le
is
im
p
lem
en
ted
b
y
u
s
in
g
o
b
s
er
v
atio
n
s
o
f
d
ata
f
r
o
m
th
e
co
m
p
lete
d
ataset.
3
.
4
.
P
er
f
o
r
m
a
nce
m
e
t
ric
Acc
u
r
ac
y
is
t
h
e
m
o
s
t
wid
e
ly
em
p
lo
y
e
d
p
er
f
o
r
m
a
n
ce
m
ea
s
u
r
e
f
o
r
v
alid
atin
g
th
e
p
r
ed
ictiv
e
p
er
f
o
r
m
an
ce
o
f
class
if
icatio
n
m
o
d
el
[
2
3
]
-
[
2
5
]
.
Hen
ce
,
i
n
th
is
s
tu
d
y
we
h
av
e
em
p
lo
y
ed
th
e
p
r
e
d
ictiv
e
ac
cu
r
ac
y
to
ev
lau
te
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
d
e
v
elo
p
e
d
m
o
d
el.
Ma
th
em
atica
lly
,
class
i
f
i
ca
tio
n
ac
cu
r
ac
y
is
d
ef
in
ed
as
th
e
n
u
m
b
e
r
o
f
c
o
r
r
ec
t
p
r
ed
ictio
n
s
(
tr
u
e
p
o
s
itiv
es
T
P
an
d
tr
u
e
n
e
g
ativ
es
T
N)
o
v
er
all
s
am
p
les
in
th
e
v
alid
atio
n
s
et
N.
A
c
c
ura
c
y
=
(
TP
+
TN
)
N
)
(
2
)
3
.
5
.
Da
t
a
s
et
f
e
a
t
ures
T
h
e
o
r
ig
in
al
b
r
ea
s
t
ca
n
ce
r
d
ataset
co
n
s
is
t
s
o
f
3
3
f
ea
tu
r
e
s
.
T
h
e
r
an
k
in
g
o
f
th
e
o
r
ig
in
al
3
3
b
r
ea
s
t
ca
n
ce
r
d
iag
n
o
s
tic
f
ea
tu
r
e
is
d
em
o
n
s
tr
ated
in
Fig
u
r
e
1
.
Fi
g
u
r
e
1
w
o
r
s
t
co
n
ca
v
e
p
o
in
ts
,
wo
r
s
t
ar
ea
,
m
ea
n
co
n
ca
v
e
p
o
in
ts
,
m
ea
n
co
n
ca
v
i
ty
an
d
wo
r
s
t
r
ad
iu
s
h
as
h
ig
h
e
r
im
p
o
r
tan
ce
f
o
r
b
r
ea
s
t
ca
n
ce
r
p
r
ed
ictio
n
.
Ov
e
r
all,
ea
ch
f
ea
tu
r
e
o
f
th
e
o
r
ig
in
al
b
r
ea
s
t
ca
n
ce
r
d
ataset
d
escr
ib
in
g
each
s
am
p
le
in
th
e
d
ataset
ar
e
d
em
o
n
s
tr
ated
in
Fig
u
r
e
1
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
E
xp
lo
r
in
g
th
e
p
erfo
r
ma
n
ce
o
f
fea
tu
r
e
s
elec
tio
n
meth
o
d
u
s
in
g
b
r
ea
s
t c
a
n
ce
r
…
(
Ts
eh
a
y
A
d
ma
s
s
u
A
s
s
eg
ie
)
235
Fig
u
r
e
1
.
B
r
ea
s
t c
an
ce
r
d
ataset
f
ea
tu
r
es a
n
d
th
ei
r
im
p
o
r
tan
ce
4.
RE
SU
L
T
AND
DI
CUSS
I
O
N
S
I
n
th
is
s
ec
tio
n
,
th
e
ex
p
er
im
en
tal
r
esu
lt
o
n
th
e
p
er
f
o
r
m
a
n
ce
o
f
d
if
f
er
en
t
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
is
p
r
esen
ted
.
Sp
ec
if
ically
,
th
e
o
p
tim
al
f
ea
tu
r
e
s
elec
ted
b
y
ch
i
-
s
q
u
ar
e,
s
eq
u
en
tial
an
d
m
o
d
el
b
ased
o
r
em
b
ed
d
e
d
f
ea
tu
r
e
s
elec
tio
n
with
r
an
d
o
m
f
o
r
est
alg
o
r
ith
m
is
p
r
esen
ted
.
T
h
e
p
e
r
f
o
r
m
an
ce
o
f
f
ea
tu
r
e
s
elec
tio
n
m
o
d
el
is
ev
alu
ated
ag
ain
s
t
th
e
p
r
ed
ictiv
e
ac
cu
r
ac
y
ac
h
iev
ed
wh
e
n
p
ar
ticu
lar
ly
f
ea
tu
r
e
s
elec
ted
b
y
th
e
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
is
u
s
ed
f
o
r
tr
ain
in
g
r
a
n
d
o
m
f
o
r
est
m
o
d
el.
T
h
e
e
x
p
er
im
en
tal
r
esu
lt
ev
id
e
n
tly
ap
p
ea
r
s
to
p
r
o
v
e
t
h
at
th
e
n
u
m
b
er
o
f
f
ea
tu
r
es
s
elec
ted
b
y
ea
ch
o
f
t
h
e
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
is
d
if
f
e
r
en
t
.
4
.
1
.
Co
m
pa
riso
n o
n t
he
perf
o
rm
a
nce
o
f
f
ea
t
ure
s
elec
t
io
n m
et
ho
d
R
an
d
o
m
f
o
r
est
m
o
d
el
is
tr
ain
ed
o
n
s
elec
ted
in
p
u
t
f
ea
tu
r
e
s
u
b
s
et
b
y
ch
i
-
s
q
u
ar
e,
s
eq
u
en
tial
an
d
f
ea
tu
r
e
im
p
o
r
tan
ce
an
d
f
iv
e
-
f
o
ld
cr
o
s
s
v
alid
atio
n
ac
cu
r
ac
y
is
em
p
lo
y
ed
to
co
m
p
ar
e
th
e
m
o
d
el
p
er
f
o
r
m
an
ce
o
n
ea
ch
o
f
th
e
i
n
p
u
t
f
ea
tu
r
e
s
u
b
s
et.
T
h
e
co
m
p
ar
ativ
e
r
esu
l
t
o
n
th
e
p
er
f
o
r
m
an
ce
o
f
s
eq
u
en
t
ial
em
b
ed
d
e
d
an
d
ch
i
-
s
q
u
ar
e
f
ea
tu
r
e
s
elec
tio
n
is
s
u
m
m
ar
ized
in
T
ab
le
1
.
As
s
h
o
wn
i
n
T
a
b
le
1
,
th
e
h
ig
h
est
ac
cu
r
ac
y
(
9
8
.
3
%)
is
ac
h
iev
ed
with
th
e
f
ea
t
u
r
e
s
u
b
s
et
s
elec
ted
s
eq
u
en
tial
f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
as
co
m
p
ar
ed
to
ch
i
-
sq
u
ar
e
with
ac
cu
r
ac
y
(
9
5
.
7
%)
an
d
em
b
ed
d
ed
o
r
m
o
d
el
b
ased
f
ea
tu
r
e
im
p
o
r
tan
ce
with
b
r
ea
s
t
ca
n
ce
r
d
et
ec
tio
n
ac
cu
r
ac
y
o
f
9
6
.
3
%.
T
ab
le
1
.
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
d
if
f
er
en
t f
ea
tu
r
e
s
elec
tio
n
m
eth
o
d
f
o
r
b
r
ea
s
t c
an
ce
r
p
r
e
d
ictio
n
F
e
a
t
u
r
e
s
e
l
e
c
t
i
o
n
me
t
h
o
d
N
o
.
i
n
p
u
t
f
e
a
t
u
r
e
s
se
l
e
c
t
e
d
A
c
c
u
r
a
c
y
C
h
i
s
q
u
a
r
e
8
9
5
.
7
8
%
S
e
q
u
e
n
t
i
a
l
8
9
8
.
3
%
Emb
e
d
d
e
d
8
9
6
.
3
0
%
Dif
f
er
en
t
f
ea
tu
r
e
s
elec
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