Logistic Regression scikit-learn
from sklearn.linear_model import LogisticRegresson
model = LogisticRegression()
#学習
model.fit(X_train, y_train)
#精度
score = model.score(X_test, y_test)
#予測
pred = model.predict(X_test)
from sklearn.linear_model import LogisticRegresson
model = LogisticRegression()
#学習
model.fit(X_train, y_train)
#精度
score = model.score(X_test, y_test)
#予測
pred = model.predict(X_test)