Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **Got continuous is not supported in RandomForestRegressor** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How Got continuous is not supported in RandomForestRegressor Error Occurs?

Today I get the following error **Got continuous is not supported in RandomForestRegressor** **in python**.

## How To Solve Got continuous is not supported in RandomForestRegressor Error ?

**How To Solve Got continuous is not supported in RandomForestRegressor Error ?**To Solve Got continuous is not supported in RandomForestRegressor Error Where X_test is samples, y_test is corresponding ground truth values. It will compute predictions inside.

**Got continuous is not supported in RandomForestRegressor**To Solve Got continuous is not supported in RandomForestRegressor Error Where X_test is samples, y_test is corresponding ground truth values. It will compute predictions inside.

## Solution 1

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.

## Solution 2

Since you are doing a classification task, you should be using the metric

R-squared(co-effecient of determination)instead ofaccuracy score(accuracy score is used for classification purposes).

*To avoid any confusion I suggest you to use different variable name like reg/rfr.*

R-squared can be computed by calling score function provided by RandomForestRegressor, for example:

rfr.score(X_test,Y_test)

**Summery**

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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