/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

0 vote331 views1 answer
Why python stops after plt.show()
Python
2 votes313 views1 answer
Python optionmenu tkinter
Python
8 votes354 views1 answer
How to play a video in cv2
Python
18 votes334 views2 answers
Get columns by type pandas
Python
0 vote384 views1 answer
Form is undefined flask
Python Flask
26 votes331 views4 answers
Python ceiling
Python
1 vote344 views1 answer
Spacy matcher syntax
Python
3 votes335 views2 answers
Python initialize a 2d array
Python
0 vote327 views4 answers
Comprehension list iloc pandas
Python
1 vote316 views1 answer
Format integer to be money python
Python