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📜  如何在线性回归python代码示例中计算rmse

📅  最后修改于: 2022-03-11 14:46:45.496000             🧑  作者: Mango

代码示例1
actual = [0, 1, 2, 0, 3]
predicted = [0.1, 1.3, 2.1, 0.5, 3.1]

mse = sklearn.metrics.mean_squared_error(actual, predicted)

rmse = math.sqrt(mse)

print(rmse)