To calculate the root mean square error or "среднеквадра-тичная погрешность" in Python, you can use the math and statistics modules.
Here's an example code snippet that calculates the root mean square error:
main.py459 chars20 lines
This code first defines the true values and the predicted values as two lists. It then calculates the squared errors between the predicted and true values, followed by calculating the mean squared errors using the statistics.mean()
function.
Finally, it calculates the root mean squared error by taking the square root of the mean squared errors using the math.sqrt()
function.
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