我有 102 个观察结果。我为数据集制作了标准比例。我找到了准确度训练和准确度测试值，但训练分数为 1.00，测试分数为 -217.541。我已经运行了 MLPRegressor 分数。负准确性测试分数是什么意思？

FileX_train, FileX_test,FileY_train,FileY_test = train_test_split(FileX,FileY,test_size=0.33, random_state=0)

sc = StandardScaler()
X_train = sc.fit_transform(FileX_train)
X_test = sc.transform(FileX_test)

sc = StandardScaler()
Y_train = sc.fit_transform(FileY_train)
Y_test = sc.transform(FileY_test)

from sklearn.neural_network import MLPRegressor
from sklearn.metrics import accuracy_score
mlp = MLPRegressor(solver='lbfgs',activation='tanh', hidden_layer_sizes=(100,), max_iter=1000000000, learning_rate='constant')
mlp.fit(X_train, Y_train.ravel())
print('Accuracy training : {:.3f}'.format(mlp.score(X_train, Y_train)))
print('Accuracy testing : {:.3f}'.format(mlp.score(X_test, Y_test)))

结果：

精度培训：1.000 精度测试：-217.541