如何解决此问题“ValueError:没有足够的值来解包（预期为5，实际为4）”？

Question

如何解决此问题“ValueError:没有足够的值来解包（预期为5，实际为4）”

import sklearn
from sklearn.datasets import load_breast_cancer
data = load_breast_cancer()

label_names = data['target_names']
labels = data['target']
feature_names = data['feature_names']
features = data['data']
print(label_names)
print(labels[0])
print(feature_names[0])
print(features[0])

from sklearn.model_selection import train_test_split

错误发生在以下行：

train, test, train_labels, test_labels, test_labels = train_test_split(features,labels,test_size =   0.40, random_state = 42)

Answer 1

函数“train\u test\u split”只返回4个值。修改您的行，如下所示：

train, test, train_labels, test_labels = train_test_split(features,labels,test_size =   0.40, random_state = 42)