当我尝试在python中实现反向传播ANN时，我发现ValueError:数据基数不明确：x大小：21 y大小：1

Question

import pandas as pd
data=pd.read_csv("tesdata.csv")
data
x=data.iloc[:,0:2].values
y=data.iloc[:,2].values
from sklearn.preprocessing import StandardScaler
sc=StandardScaler()
x=sc.fit_transform(x)
y=sc.fit_transform(y.reshape(1,-1))
from keras.models import Sequential
from keras.layers import Dense

model=Sequential()
model.add(Dense(2, activation='relu'))
model.add(Dense(10, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='mean_squared_error',optimizer='Adam',metrics=['accuracy'])
model.fit(x,y.reshape(1,-1),epochs=30,batch_size=21)

ValueError: Data cardinality is ambiguous:

x sizes: 21 y sizes: 1

Please provide data which shares the same first dimension.

我的数据