Sentence examples for accuracy type from inspiring English sources

What precision, accuracy, type of data is needed?

Table 5 Comparison of experimental results of the SVM model and the BP neural network model Model category Training sample set Test sample set Accuracy Type I error rate Type II error rate Accuracy Type I error rate Type II error rate BP neural network 66.67 %100%0% 0 % 55.56 % 100%0%0 % SVM model 91.11 % 13.33 % 6.67 % 93.65 %3.57%8.57%57 %3.57%8.57%

Table 6 Classification results under the traditional credit risk assessment index system Model category Training sample set Test sample set Accuracy Type I error rate Type II error rate Accuracy Type I error rate Type II error rate BP neural network 66.67 %100%0% 0 % 55.56 % 100%0%0 % SVM model 76.67 % 26.67 % 21.67 % 63.49 % 46.43 % 28.57 %.

Data assimilation and model forecasts can be combined into observing system simulation experiments to quantify the effect of changes in observation accuracy, type, location, and frequency on the accuracy of numerical forecasts.

The decomposed TISO FLC can deal with scalable requirements in terms of number of input language variables, output language variables, data accuracy types and fuzzy rules.

The relationship between the components of analytical accuracy, types of error and the metrics used to describe them is illustrated in Figure 3. Any validation should also consider robustness, which, in the context of a quantitative test, could be considered as a measure of precision.

We studied the utility of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of type 1 diabetes (T1D) risk classification in TrialNet Natural History Study (TNNHS) participants.

By looking at a user's first 100 downloads, the team could predict with 80% accuracy what type of file the user would download next, Duch says.

Several key variables were studied to determine their impact on model accuracy: solute type, solute concentration, current density, flow rate, inter-electrode gap, and electrode surface condition.

Another rationale for this criterion was to improve the accuracy of type 2 diabetes diagnosis.

In this analysis, we demonstrated that HF that needed hospitalisation can be predicted with good accuracy in type 2 diabetes.