Hit The Order Button To Order A **Custom Paper**

>> CLICK HERE TO ORDER 100% ORIGINAL PAPERS FROM AustralianExpertWriters.com <<

16 Jan
2020

MIS761 Enterprise Information Management | Good Grade Guarantee!

Download
“bankingdata.csv”
and
“banking-­â€header-­â€description.txt”
from
CloudDeakin.
Produce
an
Orange
loadable
file
based
on
your
experience
in
processing
the
data
in
the
last
workshop.Using
your
knowledge
of
classification,
regression
and
data
exploration,
answer
the
following
questions
• Produce
a
model
that
can
classify
whether
the
client
subscribes
to
term
deposit.
That
is,
given
a
client’s
information
and
campaign
information,
the
classifier
should
produce
a
class
label
showing
the
likely
subscription
to
term
deposit.
• What
would
be
the
top
five
attributes
that
best
determine
the
subscription
to
term
deposit?
In
listing
the
top
five
attributes,
discuss
how
you
determine
them
and
supplement
with
appropriate
Orange
files
if
available.
Your
discussion
should
be
in
about
500
words.
• Produce
a
model
to
predict
the
likely
balance
of
a
given
client’s
information
and
campaign
information.
• Can
we
predict
the
balance
for
clients
who
are
“widowed”
and
“defacto”?
If
no,
explain
why.
If
yes,
explain
how
you
would
do
so.
Discuss
in
about
500
words

QUALITY: 100% ORIGINAL – NO PLAGIARISM.

  • **REMEMBER TO PRECISE PAGE NUMBER**
  • Hit The Order Button To Order A **Custom Paper**

>> 100% ORIGINAL PAPERS FROM AustralianExpertWriters.com <<