<prompt> Ngola tšebetso ho bala motso mean squared error RMSE.nan  <response>: Instruction in English: Write a function to calculate the root mean squared error RMSE. . Response in English: Here is a Python function that can calculate the root mean squared error RMSE:pythonimport numpy as npdef rmsepredictions, targets: Calculates the root mean square error between two numpy nd-arrays. :param predictions: The predicted values, as a numpy nd-array :param targets: The true values, as a numpy nd-array :returns: The root mean square error RMSE between the predicted and true values ensure both inputs are numpy nd-arrays predictions np.asarraypredictions targets np.asarraytargets calculate the squared differences between predictions and targets square_diff np.squarepredictions - targets calculate the mean of the squared differences mean_square_diff square_diff.mean calculate the square root of the mean squared differences rmse_value np.sqrtmean_square_diff return rmse_value . Response in Sesotho: Mona ke tsebetso ea Python e ka khonang ho bala rotso mean squared error RMSE: python import numpy as np def rmsepredictions, targets: E bala motso oa phoso ea squared pakeng tsa numpy nd-arrays. : param predictions: The predicted values, as a numpy nd-array :param targets: The true values, as a numpy nd-array :returns: The root mean square error RMSE pakeng tsa litekanyetso tse boletsoeng esale pele le tsa nnete netefatsa bobeli tse kentsweng ke numpy nd-arrays predictions np.asarraypredictions targets np.asarraytargets bala phapang ea squared lipakeng tsa likhakanyo le targets square_diff np.squarepredictions - targets bala moelelo oa liphapang tse lisekoere mean_square_diff square_diff.mean bala motso wa sekwere sa meelelo ya diphapano tsa squared rmse_value np.sqrtmean_square_diff khutlisetsa rmse_value 