The phrase "accuracy of the predictor" is correct and usable in written English.
It can be used in contexts related to statistics, machine learning, or any field where predictions are made and their correctness is evaluated.
Example: "The accuracy of the predictor is crucial for ensuring reliable outcomes in our analysis."
Alternatives: "precision of the predictor" or "reliability of the predictor".
The controller behaves well even under extreme model mismatch when full state feedback is used, but is high dependent on the accuracy of the predictor under limited feedback conditions.
As the database grows, the accuracy of the predictor improves.
Therefore, a high similarity will mean a high accuracy of the predictor.
It turns out that accuracy of the predictor depends on not only the order but also the location of support pixels.
Therefore, to improve the accuracy of the Predictor component, the risk minimization principle should be determined based on the complexity of the prediction techniques (i.e., the VC-dimension) and the training dataset size.
Finally, we used the independent validation set to determine the accuracy of the predictor.
Figure 5a shows the accuracy of the predictors in H1-hESCs, in terms of the Pearson correlation coefficient (PCC) between predicted and actual gene expression.
Pryce et al. [ 13] reported that the accuracy of the predictors for milk genomic breeding values in Holstein based on training in Fleckvieh was equal to 0.22 but increased to 0.42 when a second breed (Jersey) was added to the training set, which suggests that the addition of several other breeds to the training set to predict a breed that was not in the training set is beneficial.
The accuracy of this predictor, benchmarked on the 42 CASP5 targets, reached 78%.
The accuracy of this predictor provides support for the clinical use of automated predictions alongside family segregation and population frequency data in the interpretation of new missense variants and suggests future development of similar tools for other diseases.
We wished to compare the accuracy of this predictor, but we were unable to determine the content of the software's training dataset and the degree of overlap with our testing dataset.
