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Mean of squared deviations between levels.
Mean of squared deviations within levels.
Our framework comprises a movement primitive model learned from a small number of example steps that are dynamically feasible and minimize an integral mean of squared torques.
Hence, the mean of squared deviationsbetween levels is given by MST L = SST L d f L = 0.55289 4 − 1 = 0.184 Open image in new window (9).
The mean of squared deviations within levels is given by MST E = SST E d f E = 2.94 128 − 4 = 0.065 Open image in new window (10).
A validation dataset produced estimates of error for the predicted maps of sand, silt and clay contents at root mean of squared error values of 8.4%, 7.8%and2.3%3%, respectively, which is satisfactory in a practical context.
Similar(32)
SS and MS stand for Sum-of-Squares and Mean-of-Squares, respectively.
RMSPE: the squared root of the mean of the squared prediction errors.
As its name says, the RMS is the square root of the mean of the squared single signals.
Adjusted mean of squares.
Error mean of square follows the same procedure.
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