Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
second NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP I-FLO
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
the NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
the NN I-NP O
student’s NN I-NP I-FLT
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
second NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP O
of NN I-NP O
students NN I-NP I-ENT
in NN I-NP O
the NN I-NP O
school NN I-NP O
Gabriel NN I-NP O
Pereira NN I-NP O
because NN I-NP O
home NN I-NP I-FLT
to NN I-NP I-FLT
school NN I-NP I-FLT
travel NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
less NN I-NP I-FLO
than NN I-NP I-FLO
15 NN I-NP I-NUM
minutes NN I-NP O

predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP O
of NN I-NP O
students NN I-NP I-ENT
in NN I-NP O
the NN I-NP O
school NN I-NP O
Gabriel NN I-NP O
Pereira NN I-NP O
because NN I-NP O
this NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
close NN I-NP I-FLT
to NN I-NP I-FLT
home NN I-NP O

predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP O
of NN I-NP O
students NN I-NP I-ENT
in NN I-NP O
the NN I-NP O
school NN I-NP O
Gabriel NN I-NP O
Pereira NN I-NP O
because NN I-NP O
of NN I-NP O
this NN I-NP I-FLT
schools NN I-NP I-FLT
reputation NN I-NP I-FLT

predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP O
of NN I-NP O
students NN I-NP I-ENT
in NN I-NP O
the NN I-NP O
school NN I-NP O
Gabriel NN I-NP O
Pereira NN I-NP O
because NN I-NP O
this NN I-NP I-FLO
school's NN I-NP O
courses NN I-NP I-FLT
are NN I-NP I-FLT
preferred NN I-NP I-FLT
by NN I-NP O
the NN I-NP O
students NN I-NP I-ENT
for NN I-NP O
the NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
second NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O
 NN I-NP O

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLO
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
second NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
first NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
final NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
maximum NN I-NP I-AGG
second NN I-NP I-ATR
period NN I-NP I-ATR
grade NN I-NP I-ATR
of NN I-NP O
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
the NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
the NN I-NP O
student’s NN I-NP O
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O
 NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLT
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student NN I-NP O
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
students NN I-NP I-ENT
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O
 NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLO
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
total NN I-NP I-AGG
number NN I-NP I-ATR
of NN I-NP I-ATR
school NN I-NP I-ATR
absence NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
the NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
the NN I-NP O
student’s NN I-NP I-FLT
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O
 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLO
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
age NN I-NP I-ATR
of NN I-NP I-ATR
student NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLO
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
family NN I-NP I-ATR
size NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O
 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLO
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
travel NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Gabriel NN I-NP O
Pereira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
school NN I-NP I-FLT
is NN I-NP I-FLO
Mousinho NN I-NP O
da NN I-NP O
Silveira NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
male NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
home NN I-NP I-FLT
address NN I-NP I-FLT
is NN I-NP I-FLO
in NN I-NP O
rural NN I-NP O
area NN I-NP O
for NN I-NP O
next NN I-NP O
two NN I-NP O
years NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
family NN I-NP I-FLT
size NN I-NP I-FLT
is NN I-NP I-FLO
greater NN I-NP I-FLO
than NN I-NP I-FLO
3 NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
together NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
parents NN I-NP I-FLT
are NN I-NP O
living NN I-NP O
apart NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
THE NN I-NP O
students NN I-NP I-FLT
mother NN I-NP I-FLT
has NN I-NP I-FLO
primary NN I-NP O
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
 NN I-NP O
student’s NN I-NP I-FLT
father’s NN I-NP I-FLT
education NN I-NP I-FLT
is NN I-NP I-FLO
5th NN I-NP O
to NN I-NP I-FLO
9th NN I-NP O
grade NN I-NP O
for NN I-NP O
next NN I-NP O
year NN I-NP I-PRW

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
mother’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
teacher NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
father’s NN I-NP I-FLT
job NN I-NP I-FLT
is NN I-NP I-FLO
health NN I-NP O
care NN I-NP O
related NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
father NN I-NP I-FLT
does NN I-NP I-FLT
civil NN I-NP O
services. NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
father NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
guardian NN I-NP I-FLT
is NN I-NP I-FLO
neither NN I-NP I-FLO
father NN I-NP O
nor NN I-NP I-FLO
mother NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
2 NN I-NP I-NUM
and NN I-NP O
5 NN I-NP I-NUM
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
weekly NN I-NP I-FLT
study NN I-NP I-FLT
time NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
four NN I-NP O
to NN I-NP I-FLO
ten NN I-NP O
hours NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
is NN I-NP I-FLO
2 NN I-NP I-NUM

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
past NN I-NP I-FLT
class NN I-NP I-FLT
failure NN I-NP I-FLT
more NN I-NP I-FLO
than NN I-NP I-FLO
four NN I-NP O
 NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT
at NN I-NP O
school NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
family NN I-NP I-FLT
educational NN I-NP I-FLT
support NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
extra NN I-NP I-FLT
paid NN I-NP I-FLT
classes NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
partaken NN I-NP O
in NN I-NP O
extra-curricular NN I-NP I-FLT
activities NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
attented NN I-NP I-FLT
nursery NN I-NP I-FLT
school NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
wants NN I-NP I-FLT
to NN I-NP I-FLO
take NN I-NP I-FLT
higher NN I-NP I-FLT
education NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP O
has NN I-NP I-FLO
access NN I-NP I-FLT
to NN I-NP I-FLT
internet NN I-NP I-FLT
at NN I-NP I-FLT
home NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
with NN I-NP I-FLT
a NN I-NP I-FLT
romantic NN I-NP I-FLT
relationship NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
excellent NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
family NN I-NP I-FLT
relashionship NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
high NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
free NN I-NP I-FLT
time NN I-NP I-FLT
after NN I-NP I-FLT
school NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
low NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
is NN I-NP I-FLO
going NN I-NP I-FLT
out NN I-NP I-FLT
with NN I-NP I-FLT
friends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
work NN I-NP I-FLT
days NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student NN I-NP I-FLT
is NN I-NP I-FLO
consuming NN I-NP I-FLT
alcohol NN I-NP I-FLT
in NN I-NP I-FLT
weekends NN I-NP I-FLT

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
very NN I-NP O
good NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP I-FLT
health NN I-NP I-FLT
is NN I-NP I-FLO
bad NN I-NP O

Predict NN I-NP O
the NN I-NP O
average NN I-NP I-AGG
study NN I-NP I-ATR
time NN I-NP I-ATR
where NN I-NP O
student's NN I-NP O
number NN I-NP I-FLT
of NN I-NP I-FLT
absences NN I-NP I-FLT
is NN I-NP I-FLO
between NN I-NP I-FLO
10 NN I-NP I-NUM
to NN I-NP I-FLO
20 NN I-NP I-NUM