1
## Create Value Map
2
value_dict 
=
 
{
True
:
 
'Correct'
,
 
False
:
 
'Incorrect'
}
3

4
## Check Data Types
5
print
(
type
(
iris_target_test
)
)
6
print
(
type
(
iris_target_predictions
)
)
7

8
## Clean Data
9
iris_target_test 
=
 iris_target_test
[
'species'
]
10
iris_target_predictions 
=
 pd
.
Series
(
iris_target_predictions
)
11
iris_target_test 
=
 iris_target_test
.
reset_index
(
)
[
'species'
]
12
iris_target_predictions
.
name 
=
 
'species'
13

14
### Validate Data Types
15
print
(
type
(
iris_target_test
)
)
16
print
(
type
(
iris_target_predictions
)
)
17

18
#### Create a dataframe with all of the information we will need for our two vizualizations
19
viz_frame 
=
 iris_feature_test
.
reset_index
(
)
[
[
'sepal_length'
,
 
'sepal_width'
]
]
20
viz_frame
[
'outcome'
]
 
=
 
(
iris_target_test 
==
 iris_target_predictions
)
.
map
(
value_dict
)
21
viz_frame
[
'species'
]
 
=
 iris_target_test
22

23
##### Validate viz_frame
24
viz_frame
.
head
(
3
)

1
<
class
 
'pandas.core.frame.DataFrame'
>
2
<
class
 
'numpy.ndarray'
>
3
<
class
 
'pandas.core.series.Series'
>
4
<
class
 
'pandas.core.series.Series'
>