Sentence examples for better classification accuracy is from inspiring English sources

For example, for subject 1 and subject 4, better classification accuracy is achieved when channels from occipital locations are considered.

It is observed in Tables 1, 2, 3, 4 and 5, comparatively better classification accuracy is obtained while considering MC, MB, ML and MR tasks than other six combinations of tasks.

This means the most internal patterns are removed and the boundary patterns that can contribute to better classification accuracy are retained.

In [34], we have shown that using two features, namely, received power and SINR from the MS, the classification accuracy is much better than using a single feature such as SINR [6, 35 37].

A series of experiments showed that the classification accuracy is much better when the weight of fractal feature is 0.6 and the weight of gray level feature is 0.4.

The same authors claim that a better and more complete description of the classification accuracy is the area under the ROC curve.

The automatically generated classification model CONV (Table 5) based on clinical and geriatric assessment data shows markedly better performance values than the three previous tests: The classification accuracy is 72% with a sensitivity of 68% and a specificity of 74%.

The better features we select to classify objects, the higher the classification accuracy is.

Even the HF and LF gives the best performance of classification accuracy [7], which is approximately 88.33 and 79.27 %, respectively, but this classification accuracy is still not good enough to achieve better classification accuracy rate over 90%[11]1].

The classification accuracy is higher for Nugent score BV, indicating a better model fit.

The classification accuracy is more than 95.9%.