Created
March 16, 2020 11:15
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| from sklearn.linear_model import LinearRegression | |
| from sklearn.metrics import mean_squared_error | |
| lr = LinearRegression() | |
| lr.fit(X_train,y_train) | |
| rmse = np.sqrt(mean_squared_error(y_test,lr.predict(X_test))) | |
| print(rmse) |
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