why does mse use mean square error what is mse logic why use mean square error instead of absolute error in mse what is mean square error in neural network why is it customary to use mean square error rather than mean absolute error why is it customary to use mean square error rather than mean absolute error? why is it customary to use mean square error rather than mean absolute error? which is the logical basis of mse? why is it customary to use mean square error rather than mean absolute error? why is it customary to use mean square error rather than mean absolute error? why use mean square error instead of mean absolute error why is it customary to use mean square error instead of mean absolute error? brainly what is the meaning of mean square error why use mean square error rather than mean absolute error why is it customary to use mean square error rather than mean absolute error? why is mse customary what is mse used for why do neural networks use mean square error rather than mean absolute error? mse error what is mean why should mse use absolute error