Sentence examples for mean error measures from inspiring English sources
These mean error measures from the simulations were compared with analytical computations, which we derived (Appendix S1).
In this section, we investigate the accuracy of the three algorithms with speech degraded under wireless-VoIP conditions by means of correlation and root-mean-square error measures.
In this work, the accuracy of the machine is defined as the mean error vector measured in the entire working volume of the machine.
Results of the 25 real-time feedback sessions are provided in Figure 7. Panels A C indicate hit rate, mean movement time, and mean endpoint error (measured as the difference between the formant space position at the end of the trial and the target formant position for that trial) as a function of block number, averaged across all 25 sessions.
The quality of the model is assessed using a mean square error measure that depends linearly on the parameters.
We analyze the proposed architecture in terms of peak signal-to-noise ratio as well as mean squared error measured between the original and steganographic files averaged over all video frames.
The objective function was the root mean squared error measured as the root of the squared difference between the predicted and observed plasma concentrations for both compounds.
The held-out mean squared prediction error measures the generalization performance of each of the algorithms.
We ran RMSE (root-mean-square error – measure of the differences between values predicted by a model or an estimator and the values actually observed) measurements for each levels of blurring, and for each measurement, we used 10,000 data items as input.
The maximal mean error between fingertip measured position and fingertip position obtained from simulated joint angles and forward kinematics is 0.99±0.76 mm for the training set and 1.49±1.62 mm for the test set.
Mean error is a measure of the bias of predictions (the overall tendency to over or under predict) whilst mean absolute error is a measure of overall precision (the average magnitude of error in individual predictions).
