Sentence examples for median prediction error from inspiring English sources

The overall predictive ability during the entire pre cardiopulmonary bypass period of this model was excellent, with virtually no bias (median prediction error, −0.4%) and good precision (median absolute prediction error, 18.4%).

The left panel of Figure 4 shows the median prediction error averaged over 1000 user samples for each value of ρ, with an inset showing the equivalent for the Null Model.

Median prediction error was 12%.

MDPE = median prediction error; MDAPE = median absolute prediction error.

The median prediction error for the BB model is about 10% for both TOPICAL and SOCCAR.

The median prediction error and the median of individual median absolute prediction error were 2.44% and 21.6%, respectively.

However, in line with earlier findings [ 5], differences between the median prediction errors for MAXVAR and the random strategies were quite small.

Median prediction errors were 4.3, 2.8 and 3.5% for Group A, Group B and (A + B), indicating individual virtual patients were accurate representations of real patients.

Measures for bias and precision, i.e., median percentage prediction error (MPPE) and median absolute prediction error (MAPE), were 0.4 and 4.8 %, respectively.

Particularly, its median normalized prediction error for ICP is 39% compared to 51% as obtained by an existing method and its median correlation coefficient between estimated and measured normalized ICP is 0.80 compared to 0.35 achieved by the existing method.

Potential bias in the predictions was assessed by using median percentage prediction error (MPPE).