决策树/装袋

Question

我对数据科学还是很陌生。 我在决策树上运行此代码时收到一条错误消息

#Fitting the model
d_tree = DecisionTreeClassifier(random_state=1)
d_tree.fit(X_train,y_train)

#Calculating different metrics
d_tree_model_train_perf=model_performance_classification_sklearn(d_tree,X_train,y_train)
print("Training performance:\n",d_tree_model_train_perf)
d_tree_model_test_perf=model_performance_classification_sklearn(d_tree,X_test,y_test)
print("Testing performance:\n",d_tree_model_test_perf)

#Creating confusion matrix
confusion_matrix_sklearn(d_tree,X_test,y_test)

我在下面收到此错误消息...请问我该怎么办

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-36-396204314fba> in <module>
      1 #Fitting the model
      2 d_tree = DecisionTreeClassifier(random_state=1)
----> 3 d_tree.fit(X_train,y_train)
      4 
      5 #Calculating different metrics

4 frames
/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py in __array__(self, dtype)
   1991 
   1992     def __array__(self, dtype: NpDtype | None = None) -> np.ndarray:
-> 1993         return np.asarray(self._values, dtype=dtype)
   1994 
   1995     def __array_wrap__(

ValueError: could not convert string to float: 'North America'

Answer 1

该错误会准确地告诉您出了什么问题； “北美”不能转换为浮点数。

对于作为数据科学家的你来说，这意味着你输入算法的数据（我们不知道）不符合算法预期的结构。因此，请根据需要修复您的数据结构。这将需要阅读您使用的功能的文档。