# [Solved] Got continuous is not supported in RandomForestRegressor

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.

## 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 ?

1. 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.

2. 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 of accuracy 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.