Gridsearch cv

>>> from sklearn import svm, datasets
>>> from sklearn.model_selection import GridSearchCV
>>> iris = datasets.load_iris()
>>> parameters = {'kernel':('linear', 'rbf'), 'C':[1, 10]}
>>> svc = svm.SVC()
>>> clf = GridSearchCV(svc, parameters)
>>> clf.fit(iris.data, iris.target)
GridSearchCV(estimator=SVC(),
             param_grid={'C': [1, 10], 'kernel': ('linear', 'rbf')})
>>> sorted(clf.cv_results_.keys())
['mean_fit_time', 'mean_score_time', 'mean_test_score',...
 'param_C', 'param_kernel', 'params',...
 'rank_test_score', 'split0_test_score',...
 'split2_test_score', ...
 'std_fit_time', 'std_score_time', 'std_test_score']

Source: scikit-learn.org

Similar codes

4 votes338 views2 answers
Intersection in list
Python
0 vote312 views2 answers
Loop through groupby pandas
Python
1 vote339 views2 answers
Datetime.time to seconds
Python
1 vote314 views1 answer
Python string isdecimal
Python
0 vote344 views1 answer
Db connection string timeout
Python
8 votes366 views2 answers
Discord python get member object by id
Python
0 vote328 views1 answer
Compute the mean of this RDD’s elements.
Python
15 votes325 views6 answers
How to append list in python
Python
0 vote359 views1 answer
Numpy empty image
Python
0 vote340 views1 answer
Python aus liste tuple machen
Python