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

1 vote127 views1 answer
Python is not writing whole line
Python
0 vote139 views1 answer
Split() method, sep=i, n=veces aplicado
Python
0 vote160 views1 answer
Python assertEqual tuple list
Python
0 vote136 views1 answer
Can't import flask login
Python
0 vote125 views1 answer
Type object 'object' has no attribute 'dtype' when create dataframe from pandas
Python
1 vote134 views1 answer
Pandas query variable count
Python
42 votes117 views5 answers
How to print today's date in python
Python
0 vote142 views1 answer
Login views django template passing
Python
0 vote148 views1 answer
How to remove repeated files from google drive in python
Python
1 vote122 views1 answer
Image delete in django from the folder
Python