The phrase "averages of accuracy" is correct and usable in written English.
It can be used when discussing statistical measures or performance metrics in various contexts, such as research, data analysis, or quality assessment.
Example: "The study reported the averages of accuracy for each method tested, highlighting the most effective approaches."
Alternatives: "mean accuracy" or "average accuracy rates".
When exploring the H. pylori dataset, the averages of accuracy, precision, sensitivity, and MCC come to be 80.67%, 83.18%, 79.89%, 67.69%, and 90.39%, respectively.
When predicting PPIs of H. pylori dataset, the averages of accuracy, precision, sensitivity, and MCC come to be 86.74%, 87.01%, 86.43%, and 76.99% and the standard deviations are 1.52%, 2.23%, 0.86%, and 2.23%, respectively.
The performance of the proposed method on ten classification benchmark datasets shows that the average of accuracy of this method improves 1.94%, 3.7%, and 3.74% compared with the mixture of negatively correlated experts, ME and the negative correlation learning, respectively.
denotes the average of accuracy for each technique and 'Std.' represents the standard deviation of this accuracies.
The final experimental result is the average of accuracy and F-measure on all 17 sub-experiments weighted by the number of samples in every testing data.
denote, respectively, the average of accuracy and the standard deviation over 30 runs using the stratified 10-fold cross-validation process.
For the average of Accuracy, IFOA-SVM is 97.14%, which is the best.
Compared with just mental tasks, the accuracies between two tasks have been significantly improved by appending speech imagery, and the average of accuracies of ten subjects is increased from 76.3%to82.3%3%.
For sparsity levels with no inferred network, the accuracy was assumed to be the average of accuracies from adjacent sparsity levels.
For the 1,000 parasites/μl samples we saw an average increase of accuracy of 4.2% and an average increase in SNP call rate of 45.9% (Table 1).
It concluded that the professional consensus on contested cases in Cleveland was that the doctors were right in about 70% - a higher than average rate of accuracy on first diagnoses.
