score(X_train, y_train) 이부분 이해가 ㅠㅠ

logreg = LogisticRegression()

logreg.fit(X_train, Y_train)

Y_pred = logreg.predict(X_test)

logreg.score(X_train, Y_train)

which gives: 0.80471380471380471

I use to use this method instead to determine my model accuracy:

from sklearn.metrics import classification_report

선생님 score(X_train, Y_train) 이부분이 이해가 가질 않습니다.. ㅠ 어떻게 y_test가 없이 train세트 만으로 정확도를 측정할수가 있는거죠?? 도저히 모르겠네요ㅠㅠ







logreg = LogisticRegression()

logreg.fit(X_train, Y_train)

y_pred = logreg.predict(X_test)

print(classification_report(y_test, y_pred))