Sentence examples for measuring the prediction from inspiring English sources

Our second experiment recalled our naïve disruption equation instead of measuring the prediction error percentage.

For measuring the prediction performance, we adopted 10-fold cross-validation.

To select an appropriate value for α, we performed a sensitivity analysis by perturbing the value of α and measuring the prediction accuracy.

The data-set we used for measuring the prediction performance also did not reveal any significant unfavorable effect of our simplification of the model.

It is important to point out that hybrid algorithms are able to significantly improve recall (e R) measuring the prediction ability of recovering existing interactions in a complex network.

After a RF model has been trained, feature importance can be estimated by permuting the values of a single feature and measuring the prediction error of the RF model before and after the permutation; if the feature was relevant for the discrimination of the classes, the prediction error will rise after permuting the feature's values.

We also measured the prediction accuracy of iTriplet in predicting transcription factor binding sites in E. Coli.

In the description of the different strategies, we have seen that a relevant aspect of validating the added predictive value of an omics score is how to measure the prediction accuracy of a prognostic rule.

Mean absolute error method is used to measure the prediction performance of context-aware multi-criteria recommenders by analysing the difference error between the predicted score and the score which is given by user.

The efficiency of the new ensemble WoE and SVM method was tested using area under curve (AUC) which measured the prediction and success rates.

We next develop a new metric that measures the prediction accuracy.