Sentence examples for highest prediction error from inspiring English sources

The visual validation workflow is implemented with the CheS-Mapper extension for KNIME [39] and is described in Additional file 3. The visual validation with CheS-Mapper shows, as expected, that pirenzepine has the highest prediction error in simple linear regression and the second highest prediction error in support vector regression.

By employing CheS-Mapper, we effortlessly gained insights on dataset and a critical compound: pirenzepine is the training compound with the highest prediction error using the QSAR model in the cited article.

Highest prediction errors are observed with the Linear model (median of 15% error for both TOPICAL and SOCCAR).

When we are tickled by another person [33] the sensory consequences of its actions are unpredictable, and the lack of predictability leads to a high prediction error associated with increased activity in the secondary somatosensory cortex.

Higher correlations and lower prediction error variances will be associated with fitted models that are better at predicting breeding values than models with low correlations and high prediction error variance.

Strikingly, MLR yielded high prediction error estimates in case of CV -80% due to the large increase in bias.

Consulting the original publication confirms the assumption that the logD value causes the high prediction error in linear regression.

On the other hand, if we chose it to be too high, it over-fits the training sequence and gives a higher prediction error.

The weight is small if there is a high prediction error using that is, the median filter is to substitute the previously estimated motion vector with a neighboring vector which has the smallest prediction error.

On comparing the amplitudes of cutting forces, it is seen that mechanistic model predicts the transverse force with an average absolute error of 12.29%, while a higher prediction error of 19.49% is obtained for feed force.

The entire workflow is illustrated with an intuitive example which shows that an unacceptably high prediction error of Pareto points can be efficiently reduced by only a few additional experiments.