metrics.r2_score和acccuracy_score之间有什么区别

Question

[metrics.r2_score和acccuracy_score之间有什么区别，用于计算机器学习模型中的准确性。

当我尝试这个时：

    from sklearn import metrics
    from sklearn.metrics import accuracy_score 
    print("Accuracy = ", 1 - metrics.r2_score(y_test,y_pred))
    print("Accuracy1 = ", accuracy_score(y_test,y_pred))

我明白了：

Accuracy =  0.9871059362722768
---------------------------------------------------------------------------

ValueError                                Traceback (most recent call last)
<ipython-input-16-d19d2fd401dc> in <module>
      2 from sklearn.metrics import accuracy_score
      3 print("Accuracy = ", 1 - metrics.r2_score(y_test,y_pred))
----> 4 print("Accuracy1 = ", accuracy_score(y_test,y_pred))

~/anaconda3/lib/python3.7/site-packages/sklearn/metrics/classification.py in 
accuracy_score(y_true, y_pred, normalize, sample_weight)
    174 
    175     # Compute accuracy for each possible representation
--> 176     y_type, y_true, y_pred = _check_targets(y_true, y_pred)
    177     check_consistent_length(y_true, y_pred, sample_weight)
    178     if y_type.startswith('multilabel'):

~/anaconda3/lib/python3.7/site-packages/sklearn/metrics/classification.py in 
_check_targets(y_true, y_pred)
     86     # No metrics support "multiclass-multioutput" format
     87     if (y_type not in ["binary", "multiclass", "multilabel-indicator"]):
---> 88         raise ValueError("{0} is not supported".format(y_type))
     89 
     90     if y_type in ["binary", "multiclass"]:

ValueError: continuous is not supported

Answer 1

准确度得分是针对分类问题的：

https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html#sklearn.metrics.accuracy_score