/Python/Cross_val_score scoring parameters types

Cross_val_score scoring parameters types

>>> from sklearn import svm, cross_validation, datasets
>>> iris = datasets.load_iris()
>>> X, y = iris.data, iris.target
>>> model = svm.SVC()
>>> cross_validation.cross_val_score(model, X, y, scoring='wrong_choice')
Traceback (most recent call last):
ValueError: 'wrong_choice' is not a valid scoring value. Valid options are ['accuracy', 'adjusted_rand_score', 'average_precision', 'f1', 'log_loss', 'mean_absolute_error', 'mean_squared_error', 'precision', 'r2', 'recall', 'roc_auc']

Source: scikit-learn.org

Similar codes

22 votes203 views3 answers
How to sort a list descending python
Python
0 vote198 views1 answer
Append time complexity python
Python
8 votes231 views5 answers
Pop vs remove python
Python
3 votes216 views2 answers
UnboundLocalError: local variable
Python
9 votes213 views1 answer
Delete object from table django
Python Django
0 vote212 views1 answer
Log transform pandas dataframe
Python
0 vote223 views1 answer
Matplotlib object oriented
Python
0 vote217 views2 answers
Address already in use
Python
71 votes201 views6 answers
Clear console in python
Python
0 vote230 views1 answer
Get full detail inside of id in django rest framework many to many
Python Django