Python I';我试图验证我的逻辑回归模型
但我得到了一个错误:Python I';我试图验证我的逻辑回归模型,python,scikit-learn,logistic-regression,Python,Scikit Learn,Logistic Regression,但我得到了一个错误: “NotFitteError:此LogisticRegression实例尚未拟合。在使用此估计器之前,请使用适当的参数调用'fit'。我认为这只是一个语法问题: X=train.drop('Loan_Status', 1) y=train.Loan_Status X=pd.get_dummies(X) train=pd.get_dummies(train) test=pd.get_dummies(test) from sklearn.model_selection i
“NotFitteError:此LogisticRegression实例尚未拟合。在使用此估计器之前,请使用适当的参数调用'fit'。我认为这只是一个语法问题:
X=train.drop('Loan_Status', 1)
y=train.Loan_Status
X=pd.get_dummies(X)
train=pd.get_dummies(train)
test=pd.get_dummies(test)
from sklearn.model_selection import train_test_split
X_train, X_cv, y_train, y_cv=train_test_split(X,y, test_size=0.3)
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
model= LogisticRegression()
model.fit=(X_train, y_train)
LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,
penalty='l2', random_state=1, solver='liblinear', tol=0.0001,
verbose=0, warm_start=False)
pred_cv=model.predict(X_cv)
应该是
model.fit=(X_train, y_train)
model.fit(X_train, y_train)