The phrase "accuracy ratio of" is correct and usable in written English.
It can be used when discussing the relationship between the number of correct predictions or measurements and the total number of predictions or measurements in a specific context, such as statistics or data analysis.
Example: "The accuracy ratio of the model was calculated to determine its effectiveness in predicting outcomes."
Alternatives: "precision rate of" or "correctness ratio of".
[40] Relative precision (2 times the standard deviation divided by the average concentration determined analytically) and accuracy (ratio of the average concentration determined analytically to the known concentration), determined by repeated analyses of multielement standards, for all elements reported here were 5%and90%110%10%, respectively, or better.
The overall accuracy (ratio of summary of the number of true positive and true negative results to the total sample size) of the prediction model was calculated by comparing the predicted values with the actual events.
The accuracy ratio of the pooled results for DSM-IV diagnoses, risk assessment, non-drug and drug interventions were all above 0.76, and the combined overall accuracy ratio was 0.81.
Three measures are considered to evaluate algorithm performance: D1R, the Accuracy Ratio, and the number of non-dominated solutions.
The LR model is 6.34%% higher than the FR model in comparison to its accuracy for ratio of landslide validation.
Since the amount of input DNA can affect the resultant amount of amplification, we therefore propose that to improve accuracy, the ratio of the signal generated post-MBD to pre-MBD (initial DNA input) be used to generate a methylation score (Fig. 5c).
As defined here, Accuracy is the ratio of correctly classified examples to all example points in the dataset: Accuracy = TP + TN TP + TN + FP + FN Where TP = true positive, TN = true negative, FP = false positive, and FN = false negative.
The detection limit for the instrument is 35 ppbC, and the accuracy of the ratio of TNMOC to the sum of speciated VOCs is ±0.05 for most samples.
In another example Fareed et al. (2010), an evaluation of recall improvement of learner memory was generated by defining recall accuracy as the ratio of the number of questions attempted correctly to the total number of questions.
The corresponding PPV was 66.7%, with an NPV of 89.5% and a predictive accuracy of the ratio of 84.0%.
