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Marcel Henrik Schubert
AttributionFeatures
Commits
68af3bd5
Commit
68af3bd5
authored
Jul 31, 2019
by
Marcel Henrik Schubert
Browse files
changes in displaying analysis
parent
5b684756
Changes
1
Hide whitespace changes
Inline
Side-by-side
Scripts/Analysis_final_mult.py
View file @
68af3bd5
...
...
@@ -131,7 +131,7 @@ def plot_confusion_matrix(cm, classes,normalize=True,title='Confusion matrix',cm
fmt
=
'.2f'
if
normalize
else
'd'
thresh
=
cm
.
max
()
/
2
thresh
=
cm
.
max
()
/
1.3
for
i
,
j
in
itertools
.
product
(
range
(
cm
.
shape
[
0
]),
range
(
cm
.
shape
[
1
])):
ax
.
text
(
j
,
i
,
format
(
cm_old
[
i
,
j
],
fmt
),
...
...
@@ -756,7 +756,39 @@ def plotter(subsets, subana, phases, labels):
gen_pred_auth
,
average
=
'weighted'
).
round
(
3
)
}
gend
=
[
comp
]
ind2
=
[
'author by gender'
]
gend_an
=
{
'accuracy'
:
accuracy_score
(
df_dic
[
st
][
an
][
'df'
].
loc
[
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
]
==
'male'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
df_dic
[
st
][
an
][
'df'
].
loc
[
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
]
==
'male'
][
an
+
'_'
+
str
(
st
)
+
'_gender_pred_auth'
]).
round
(
3
),
'precision'
:
precision_score
(
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
gen_pred_auth
,
pos_label
=
'male'
,
average
=
'binary'
).
round
(
3
),
'recall'
:
recall_score
(
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
gen_pred_auth
,
pos_label
=
'male'
,
average
=
'binary'
).
round
(
3
),
'f1-score'
:
f1_score
(
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
gen_pred_auth
,
pos_label
=
'male'
,
average
=
'binary'
).
round
(
3
)
}
gend
.
append
(
gend_an
)
ind2
.
append
(
'author by gender
\n
male'
)
gend_an
=
{
'accuracy'
:
accuracy_score
(
df_dic
[
st
][
an
][
'df'
].
loc
[
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
]
==
'female'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
df_dic
[
st
][
an
][
'df'
].
loc
[
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
]
==
'female'
][
an
+
'_'
+
str
(
st
)
+
'_gender_pred_auth'
]).
round
(
3
),
'precision'
:
precision_score
(
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
gen_pred_auth
,
pos_label
=
'female'
,
average
=
'binary'
).
round
(
3
),
'recall'
:
recall_score
(
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
gen_pred_auth
,
pos_label
=
'female'
,
average
=
'binary'
).
round
(
3
),
'f1-score'
:
f1_score
(
df_dic
[
st
][
an
][
'df'
][
an
+
'_'
+
str
(
st
)
+
'_SVM_gender'
],
gen_pred_auth
,
pos_label
=
'female'
,
average
=
'binary'
).
round
(
3
)
}
ind2
.
append
(
'author by gender
\n
female'
)
gend
.
append
(
gend_an
)
tmp
.
append
(
comp
)
index
.
append
(
'author by gender'
)
...
...
@@ -823,6 +855,20 @@ def plotter(subsets, subana, phases, labels):
plt
.
tight_layout
()
plt
.
savefig
(
savedir
+
'barplots/overall_scores_{}_{}.pdf'
.
format
(
st
,
an
))
plt
.
savefig
(
savedir
+
'barplots/overall_scores_{}_{}.png'
.
format
(
st
,
an
))
f
=
plt
.
figure
(
figsize
=
(
10
,
5
))
tmp_df
=
pd
.
DataFrame
(
gend
,
index
=
ind2
)
tmp_df
.
plot
(
kind
=
'barh'
,
colormap
=
cmap
,
ax
=
f
.
gca
())
plt
.
legend
(
loc
=
'center left'
,
bbox_to_anchor
=
(
1.0
,
0.5
))
plt
.
xlabel
(
xlabel
=
'Evaluation Measures for Different Subsets'
,
fontsize
=
'large'
,
fontweight
=
'roman'
)
ax
=
plt
.
gca
()
plt
.
setp
(
ax
.
get_xticklabels
(),
rotation
=
45
,
ha
=
"right"
,
rotation_mode
=
"anchor"
)
plt
.
grid
(
True
,
axis
=
'y'
)
plt
.
ylim
((
0
,
0.7
))
plt
.
tight_layout
()
plt
.
savefig
(
savedir
+
'barplots/author_gender_scores_{}_{}.pdf'
.
format
(
st
,
an
))
plt
.
savefig
(
savedir
+
'barplots/author_gender_scores_{}_{}.png'
.
format
(
st
,
an
))
...
...
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