Sentence examples for mean classification results from inspiring English sources

The mean classification results over 10 repetitions (the result for is based on 5 runs) are shown in Figure 8.

Although the mean classification result of our method based on TFDF ( Acc ¯ = 78.00 % ) is slightly lower than those of FBCSP and SCSP, the differences are not statistically significant (p>0.05).

Figure 3, shows the classification results of K-means, K-means, Kohonen and the three multiple classifiers UMCS@, UMCS#, and UMCS*.

The fault classification results, obtained by means of the synthetic dataset, have shown a better behavior of the DFT with respect to the DWT.

This objective was reached by the mean of the aggregation of the 100 classification results.

Yet, few variables have low IG, which doesn't mean these variables are not important for classification results.

If in level l, the confidence of the probability output is less than the empirical threshold, it means that this classification result is probably wrong.

The binary classification results are evaluated by means of equal error rate (EER).

We adopted the K-means algorithm [ 31] to cluster all classification results of basic classifiers, and the diversity of basic classifiers selected from each category was further improved.

This means that the proposed method delivers more stable classification results when using the more strict LOPO-CV.

On the other hand, these values are useful for emotion classification obtained scores and mean error rate values are near the best evaluation (classification) results of the P3 set.