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JJSSEEXX answered on November 22, 2022 Popularity 10/10 Helpfulness 3/10

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from sklearn.model_selection import GridSearchCV
from sklearn.linear_model import LogisticRegression

parameters = {'solver':['lbfgs', 'liblinear'], 'C' : [1, 20]}
model = LogisticRegression()
clf = GridSearchCV(model, parameters)
clf.fit(X_train, y_train)

best_model = clf.best_estimator_
score = best_model.score(X_train, y_train)
print("score : %0.3f" % score)

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: grid-search python

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Contributed on Nov 22 2022

JJSSEEXX

0 Answers Avg Quality 2/10

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