[Python] Accuracy Score ValueError: Can't Handle mix of binary and continuous target

I'm using linear_model.LinearRegression from scikit-learn as a predictive model. It works and it's perfect. I have a problem to evaluate the predicted results using the accuracy_score metric.

This is my true Data :

array([1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0])


My predicted Data:

array([ 0.07094605, 0.1994941 , 0.19270157, 0.13379635, 0.04654469,
0.09212494, 0.19952108, 0.12884365, 0.15685076, -0.01274453,
0.32167554, 0.32167554, -0.10023553, 0.09819648, -0.06755516,
0.25390082, 0.17248324])


My code:

accuracy_score(y_true, y_pred, normalize=False)


Error message:

ValueError: Can't handle mix of binary and continuous target

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