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Carlos-Francisco Méndez-Cruz
/
lcg-bioinfoI-bionlp
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Authored by
Carlos-Francisco Méndez-Cruz
2018-09-20 06:37:30 -0500
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Commit
c893be3f83f4dddf4129843712d4cdd4da3d9461
c893be3f
1 parent
e2efbe46
Training, crossvalidation and testing dataset
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clasificacion-automatica/binding-thrombin-dataset/training-crossvalidation-testing-binding-thrombin.py
clasificacion-automatica/structural-domain-dataset/training-crossvalidation-testing-dom.py
clasificacion-automatica/binding-thrombin-dataset/training-crossvalidation-testing-binding-thrombin.py
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c893be3
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@@ -246,12 +246,9 @@ if __name__ == "__main__":
oFile
.
write
(
'Classifier: {}
\n
'
.
format
(
args
.
classifier
))
oFile
.
write
(
'Kernel: {}
\n
'
.
format
(
args
.
kernel
))
oFile
.
write
(
'Accuracy: {}
\n
'
.
format
(
accuracy_score
(
y_test
,
y_pred
)))
#oFile.write('Precision: {}\n'.format(precision_score(y_test, y_pred, average='weighted')))
#oFile.write('Recall: {}\n'.format(recall_score(y_test, y_pred, average='weighted')))
#oFile.write('F-score: {}\n'.format(f1_score(y_test, y_pred, average='weighted')))
oFile
.
write
(
'Precision: {}
\n
'
.
format
(
precision_score
(
y_test
,
y_pred
)))
oFile
.
write
(
'Recall: {}
\n
'
.
format
(
recall_score
(
y_test
,
y_pred
)))
oFile
.
write
(
'F-score: {}
\n
'
.
format
(
f1_score
(
y_test
,
y_pred
)))
oFile
.
write
(
'Precision: {}
\n
'
.
format
(
precision_score
(
y_test
,
y_pred
,
average
=
'weighted'
)))
oFile
.
write
(
'Recall: {}
\n
'
.
format
(
recall_score
(
y_test
,
y_pred
,
average
=
'weighted'
)))
oFile
.
write
(
'F-score: {}
\n
'
.
format
(
f1_score
(
y_test
,
y_pred
,
average
=
'weighted'
)))
oFile
.
write
(
'Confusion matrix:
\n
'
)
oFile
.
write
(
str
(
confusion_matrix
(
y_test
,
y_pred
))
+
'
\n
'
)
oFile
.
write
(
'Classification report:
\n
'
)
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clasificacion-automatica/structural-domain-dataset/training-crossvalidation-testing-dom.py
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c893be3
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@@ -292,12 +292,9 @@ if __name__ == "__main__":
oFile
.
write
(
'Classifier: {}
\n
'
.
format
(
args
.
classifier
))
oFile
.
write
(
'Kernel: {}
\n
'
.
format
(
args
.
kernel
))
oFile
.
write
(
'Accuracy: {}
\n
'
.
format
(
accuracy_score
(
y_test
,
y_pred
)))
oFile
.
write
(
'Precision: {}
\n
'
.
format
(
precision_score
(
y_test
,
y_pred
,
average
=
None
)))
oFile
.
write
(
'Recall: {}
\n
'
.
format
(
recall_score
(
y_test
,
y_pred
,
average
=
None
)))
oFile
.
write
(
'F-score: {}
\n
'
.
format
(
f1_score
(
y_test
,
y_pred
,
average
=
None
)))
#oFile.write('Precision: {}\n'.format(precision_score(y_test, y_pred)))
#oFile.write('Recall: {}\n'.format(recall_score(y_test, y_pred)))
#oFile.write('F-score: {}\n'.format(f1_score(y_test, y_pred)))
oFile
.
write
(
'Precision: {}
\n
'
.
format
(
precision_score
(
y_test
,
y_pred
,
average
=
'weighted'
)))
oFile
.
write
(
'Recall: {}
\n
'
.
format
(
recall_score
(
y_test
,
y_pred
,
average
=
'weighted'
)))
oFile
.
write
(
'F-score: {}
\n
'
.
format
(
f1_score
(
y_test
,
y_pred
,
average
=
'weighted'
)))
oFile
.
write
(
'Confusion matrix:
\n
'
)
oFile
.
write
(
str
(
confusion_matrix
(
y_test
,
y_pred
))
+
'
\n
'
)
oFile
.
write
(
'Classification report:
\n
'
)
...
...
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