Sentence examples for maximum overall accuracy from inspiring English sources
This paper analyzes this effect and proposes an algorithm to select the reference bus, pursuing maximum overall accuracy.
In the jackknife cross-validation, the maximum overall accuracy of 94% was achieved on a stringent benchmark dataset.
For studies providing multiple presepsin cutoff values for diagnostic accuracy, the data providing the maximum overall accuracy were chosen.
In case a study provided multiple cut-off points for BNPs analysis, the point giving the maximum overall accuracy was chosen.
In case multiple cut-off points for PCT analysis were provided in a same study, we choose the cut-off giving the maximum overall accuracy.
Nevertheless, the available information provided valuable discriminant contributions in land cover mapping (Maximum Likelihood Overall Accuracy ∼85%) with encouraging reliability on mixed forests, croplands, and no-vegetated floodplain patterns, whereas riparian vegetation and urban zones exhibited low classification accuracies.
Both the decision trees and support vector machines outperformed the maximum likelihood classifier (overall accuracy of 90 93%, compared to 65%), but the decision trees were superior at handling missing data.
Additionally, when Q receives values ranging approximately from 7 to 11, the proposed approach presents relatively small variations in its recognition performance, which is close to its maximum overall shot-class association accuracy for any value of TW and in all domains.
The overall accuracy in maximum speed of conveyor, 0.2 m s−1, was obtained 93percentthatat is appropriate in real-time applications.
To understand the overall accuracy of the maximum wind time series, the observed and modeled maximum 10-min sustained winds and 3-s gust winds are plotted in Fig. 6 based on the observed daily maximum winds for 36 TCs during the period 1970 2014 from 25 stations located in Hainan Island, China.
The research results indicate that LSMA offers a better classified map than the traditional Maximum Likelihood Classification with an improved overall accuracy from 78.99% to 86.20%.
