/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

-1 vote260 views1 answer
Matplotlib unable agg
Python
5 votes264 views3 answers
Convert list to dataframe
Python
1 vote288 views1 answer
Correr servidor django
Python
-2 votes286 views5 answers
Convert python to java
Python
0 vote270 views1 answer
Lock in python
Python
5 votes261 views2 answers
How to check if a letter is lowercase in python
Python
1 vote257 views1 answer
Pandas forward fill after upsampling
Python
0 vote255 views1 answer
Python set prcess name
Python
1 vote212 views2 answers
Print reverse fibonacci python
Python
3 votes281 views3 answers
Python thread with parameters
Python