Sentence examples for true prediction of from inspiring English sources

During hot working processes of metals, precise knowledge of parameters such as strain, strain rate and temperature, is of prime importance for a true prediction of subsequent structural changes in the processed materials.

The true prediction of the Daylight Glare Probability for the variable Comfortable was 60.60%, and for (CIE) Glare Index the prediction values were equal to 44.60% for the same variable.

This shows that the good performance of the symmetry models is not due to an inherent center bias in the calculation method, but originates from a true prediction of human eye fixations based on the content of the image.

The reason we have no true prediction of the potential is because biochar has not been fully tested at the scale that it needs to be implemented at to achieve these predictions".

Predictions of fiscal crisis keep not coming true; predictions of disaster from harsh austerity policies have proved all too accurate.

These results qualify as true predictions of the numerical model.

This reflects the error that can be expected in the model when true predictions of unknown variables are attempted.

The accuracy of the n-biomarker diagnostic model was assessed using the test data set based on its sensitivity (true predictions of ES cell state/number of test ES cell samples) and specificity (true predictions of "not ES cell" state/number of test "not ES cell" samples).

IPknot predicts a pseudoknotted secondary structure that maximizes the approximate expected gain function (3), which represents the expectation of the (weighted) number of true predictions of base pairs under a given probability distribution.

We measure the performance of the constructed classification models using the following metrics: accuracy (Acc) defined as the ratio of true prediction to the total number of prediction, sensitivity (Sen) defined as the probability that a true example is classified as true and specificity (Spe) defined as the probability that a negative example is classified as negative.

Hence, we set a high stringency and calculated the precision (true predictions out of all predictions for essentiality) with a high selection criterion (more than 195 out of 200 votes).