我正在尝试参加Kaggle的泰坦尼克号竞赛。在尝试将线性回归模型应用到我的代码并检查其准确性得分时，我在Pycharm上遇到了以下错误：

Traceback (most recent call last):  File "C:/Users/security/Downloads/AP/Titanic-Kaggle/TItanic-Kaggle.py", line 27, in <module>    accuracy = linReg.score(x_text, y_test)  File "C:\Users\security\Anaconda3\envs\TItanic-Kaggle.py\lib\site-packages\sklearn\base.py", line 330, in score    return r2_score(y, self.predict(X), sample_weight=sample_weight,  File "C:\Users\security\Anaconda3\envs\TItanic-Kaggle.py\lib\site-packages\sklearn\linear_model\base.py", line 213, in predict    return self._decision_function(X)  File "C:\Users\security\Anaconda3\envs\TItanic-Kaggle.py\lib\site-packages\sklearn\linear_model\base.py", line 196, in _decision_function    X = check_array(X, accept_sparse=['csr', 'csc', 'coo'])  File "C:\Users\security\Anaconda3\envs\TItanic-Kaggle.py\lib\site-packages\sklearn\utils\validation.py", line 582, in check_array    context))ValueError: Found array with 0 sample(s) (shape=(0, 4)) while a minimum of 1 is required.

这是我目前的代码：

回答：

尝试以下替换，代码将正常运行：

x_text = data[data['Age'] != None].drop(columns='Age')y_test = data[data['Age'] != None]['Age']

这将有所帮助。