Sentence examples for mean error rates from inspiring English sources

Hence, stating mean error rates is not sufficient to fully understand the strengths and weaknesses of a disambiguation algorithm.

Table 8 Mean error rates of pitch detection methods (italics indicates the best results for the mean performance)   Polyphonic/predominant Mono.

Comparison of attained mean error rates between classification with the help of the feature vector consisting of 32 values and with the basic length of 16 values gave ambiguous result (see Table 12 and bar diagram in Figure9).

Table 14 Mean error rates of pitch detection methods for hearing dummies (HD) compared to the normal hearing (NH) model (italics indicates the best result for each dummy) Method NH HD1 HD2 HD3 SACF max.

Mean error rates and correct reaction times (RTs) for Chinese and Arabic numerals in the foveal and parafoveal conditions were plotted (Fig. 2).

Group mean error rates on each of the 12 pre-sleep and 12 post-sleep trials are shown in Table 1 and displayed in Fig. 1A.

The Karasawa model gives 1.4% for the mean error rate, 0.9964 correlation, and 12.7% for RMS.

The P4 feature set was evaluated as the best one with the mean error rate of 13.45%.

The results showed that multiple correlated coefficient R2 is greater than 0.96, and mean error rate δ is less than 15.

When it comes to the mean error rate, d-Confidence does not perform has well has when relying on a SVM base classifier.

We can see that the proposed method obtains the smallest mean error rate, which demonstrates the effectiveness of the proposed method.