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[Solved] Python/Scikit-Learn – Can’t handle mix of multiclass and continuous

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Python/Scikit-Learn – Can’t handle mix of multiclass and continuous 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.

How Python/Scikit-Learn – Can’t handle mix of multiclass and continuous Error Occurs?

Today I get the following error Python/Scikit-Learn – Can’t handle mix of multiclass and continuous in python.

How To Solve Python/Scikit-Learn – Can’t handle mix of multiclass and continuous Error ?

  1. How To Solve Python/Scikit-Learn – Can't handle mix of multiclass and continuous Error ?

    To Solve Python/Scikit-Learn – Can't handle mix of multiclass and continuous Error Accuracy score is only for classification problems. For regression problems you can use: R2 Score, MSE (Mean Squared Error), RMSE (Root Mean Squared Error).

  2. Python/Scikit-Learn – Can't handle mix of multiclass and continuous

    To Solve Python/Scikit-Learn – Can't handle mix of multiclass and continuous Error Accuracy score is only for classification problems. For regression problems you can use: R2 Score, MSE (Mean Squared Error), RMSE (Root Mean Squared Error).

Solution 1

Accuracy score is only for classification problems. For regression problems you can use: R2 Score, MSE (Mean Squared Error), RMSE (Root Mean Squared Error).

Solution 2

Accuracy is a classification metric. You can’t use it with a regression. See the documentation for info on the various metrics.

Summery

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