I am trying to use 0407_VectorisedGDAlgorithms-1554564131433.ipynb file for a regression problem with my data.
I have made sufficient changes as per my knowledge.
I have a strong feeling that while defining accuracy, the use of argmax is creating some issues. Kindly help in this regard
PFA.
https://colab.research.google.com/drive/10JR2GhaH31AJhQxGziuGTmymvSFA8fWE?usp=sharing
.
It’s because accuracy_score is for classification tasks only. For regression you should use something different, for example:
clf.score(X_test, y_test)
Where X_test is samples, y_test is corresponding ground truth values. It will compute predictions inside.
But still I wasn’t able to come out of error.
Running your code, throws error ‘ValueError: continuous is not supported’.
And as you pointed out, this is happening because you are passing ‘Y_pred_train’ and ‘Y_train’ to accuracy_score. These arguments are continuous, not binary or multiclass and cannot be passed to accuracy_score.
for regression, you should look for other metric
See example screenshot below. :
list of sklearn metrics (classification, regression and others)
https://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics
