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Chinese training data format can only be json, I use MD format training error, prompt:
C: 3.13469 f-score: 1
C: 1.57234 f-score: 1
C: 0.791172 f-score: 1
C: 0.400586 f-score: 1
best C: 0.791172
test on train:
15
overall accuracy: 1
Part II: elapsed time: 0 seconds.
df.number_of_classes(): 1
Fitting 2 folds for each of 6 candidates, totalling 12 fits
C:\Users\37284\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\metrics\classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
C:\Users\37284\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\metrics\classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
C:\Users\37284\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\metrics\classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
[Parallel(n_jobs=1)]: Done 12 out of 12 | elapsed: 0.0s finished
The text was updated successfully, but these errors were encountered:
Chinese training data format can only be json, I use MD format training error, prompt:
C: 3.13469 f-score: 1
C: 1.57234 f-score: 1
C: 0.791172 f-score: 1
C: 0.400586 f-score: 1
best C: 0.791172
test on train:
15
overall accuracy: 1
Part II: elapsed time: 0 seconds.
df.number_of_classes(): 1
Fitting 2 folds for each of 6 candidates, totalling 12 fits
C:\Users\37284\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\metrics\classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
C:\Users\37284\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\metrics\classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
C:\Users\37284\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\metrics\classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
[Parallel(n_jobs=1)]: Done 12 out of 12 | elapsed: 0.0s finished
The text was updated successfully, but these errors were encountered: