Sentence examples for accuracy and area of from inspiring English sources

In this article, the allocation that minimizes the sum of the variances of the estimators of user's accuracy, producer's accuracy, and area of a single targeted class for a fixed total sample size is derived for stratified random sampling.

The balanced accuracy and area under the ROC curve of the classification were comparable to state-of-the-art classification techniques (Young et al., 2013).

Using the global MODIS burned area product to establish a hypothetical population of reference data, we show that a sampling scheme based on the proposed stratification with equal sample allocation among strata is effective in reducing the standard errors of accuracy and area estimators compared to simple random sampling.

Table 6 Comparison between the single-mode solutions and the adaptive solution in terms of accuracy and area under curve (AUC)   Average accuracy MAUC S1 84.21 % 0.9523 S4 79.90 % 0.8536 Adaptive solution 91.39 % 0.9678.

These researchers employed the ensemble voting of 5 decision tree-based classifiers and meta-classifiers to acquire the best prediction performance in terms of accuracy and area under the ROC curve.

Statistically robust and transparent approaches for assessing accuracy and estimating area of change are critical to ensure the integrity of land change information.

The LIBSVM package was used for training the model http://www.csie.ntu.edu.tw/~cjlin/libsvm/ and we measured the results in terms of sensitivity recall, specificity, accuracy, precision and area under the curve AUC of the receiver operating characteristic ROC.

The final result was a point cloud with absolute positioning of ±2 cm, a relative positioning accuracy over the area of ±5 mm, and a point accuracy ranging from ±6 to ± 1 mm.

We found that regardless of resampling design, a single split of data into training and test sets results in a large variance in estimates of accuracy and mapped area.

The SRR measured with our new and automatic method demonstrated excellent diagnostic performance with 92% sensitivity, 90% specificity, 92% accuracy, and an area under the curve (AUC) of 0.94.

The performance is presented in terms of the accuracy and the area under the receiver operational characteristics (ROC) curve (AUC).