关于交叉验证的问题以及下一步

如何解决关于交叉验证的问题以及下一步

我有一个向量列表，我想用它来进行交叉验证，但我不太明白我应该怎么做。这是我的代码：

# scikit-learn k-fold cross-validation
from numpy import array
from sklearn.model_selection import KFold
import texture_wavelets as text_wav
import os
import cv2

# data sample
directory_images = 'D:/images'

results = []

for image_name in os.listdir(directory_images):
    image = cv2.imread(directory_images + "/" + image_name)
    mask = text_wav.TextureWavelets().create_mask_plaque(image,'b&w')
    results.append(text_wav.TextureWavelets().waveletdescr(mask,maxlevel=2))

    data = results

# prepare cross validation
kfold = KFold(3,True,1)
# enumerate splits
for train,test in kfold.split(data):
    print('train: %s,test: %s' % (data[train],data[test]))

这是数据列表：

[array([    0.,2044.61238098,0.,2618.09565353,39819.78557968]),array([    0.,4071.92074585,2776.18331909,43219.63778687]),3076.86044312,2464.76063919,44498.27956009]),array([   0.,5871.45904541,1783.31578445,5319.52641678]),4213.01197815,3044.87182617,5253.39610291]),4855.08622742,1976.97391891,6974.81827927]),4719.39257812,3474.63452911,38802.29157257]),5773.23097229,4237.98572159,17283.86447525]),2585.32319641,2866.66228867,18270.41167831]),2533.72865295,3004.23120117,43447.09034729])]

我收到以下错误：

print('train: %s,data[test]))
TypeError: only integer scalar arrays can be converted to a scalar index

我可以将此代码应用于我的数据吗？之后我如何使用这些信息？我会得到什么样的信息？