小编Die*_*ego的帖子

我使用Keras模拟神经网络，我试图用一个图来评估它acc和val_acc。我在以下代码行中有 3 个错误：

1. 在print(history.keys())错误是function' object has not attribute 'keys'
2. 在y_pred = classifier.predict(X_test)错误是name 'classifier' is not defined
3. 在plt.plot(history.history['acc'])错误是 'History' object is not subscriptable

我也在尝试绘制 ROC 曲线，我该怎么做？

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import keras
from keras.models import Sequential
from keras.layers import Dense
from sklearn import cross_validation
from matplotlib import pyplot
from keras.utils import plot_model

dataset = pd.read_csv('Data_BP.csv')
X = dataset.iloc[:, 0:11].values
y = …