Python 3.x ValueError:fit（）方法中存在错误的输入形状（37533，3）渐变增强错误

我正在使用机器学习分类技术随机森林和梯度提升：

下面是工作正常的随机林的代码：

from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier(n_estimators=100, min_samples_leaf=10,     
random_state=1)
model.fit(x_train, y_train)
print(model.score)
#Accuracy of prediction
y_pred = model.predict(x_test)
#Mean Standard Error
mean_squared_error(y_pred, y_test)
model.score(x_test, y_test)
Out[423]: 0.80038542832276516

现在，第二个分类器梯度增强会产生一个错误：

from sklearn.ensemble import GradientBoostingClassifier #For Classification
clf = GradientBoostingClassifier(n_estimators=100, learning_rate=1.0, 
max_depth=1)
clf.fit(x_train, y_train)

这就是它给出以下错误的地方：

clf.fit(x_train, y_train)
Traceback (most recent call last):

File "<ipython-input-425-9249b506d83f>", line 1, in <module>
clf.fit(x_train, y_train)

File "C:\Anaconda3\lib\site-packages\sklearn\ensemble\gradient_boosting.py",  
line 973, in fit
X, y = check_X_y(X, y, accept_sparse=['csr', 'csc', 'coo'], dtype=DTYPE)

File "C:\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 526,  
in check_X_y
y = column_or_1d(y, warn=True)

File "C:\Anaconda3\lib\site-packages\sklearn\utils\validation.py", line 562,   
in column_or_1d
raise ValueError("bad input shape {0}".format(shape))

ValueError: bad input shape (37533, 3)

你能告诉我Gradient Boosting fit（）函数的错误是什么吗

---

ValueError:输入形状不正确（37533，3）

请在不将标签装箱的情况下尝试

print(x_train)
        No  Yes
32912  1.0  0.0
35665  1.0  0.0
32436  1.0  0.0
25885  1.0  0.0
24896  1.0  0.0
51734  1.0  0.0
4235   1.0  0.0
51171  1.0  0.0
33221  0.0  1.0

print(y_train)
       Fatal  Incident  Non-Fatal
32912    0.0       0.0        1.0
35665    0.0       0.0        1.0
32436    0.0       0.0        1.0