Sentence examples for ranked features from inspiring English sources

Figure 4 shows a plot of the features for Swi6 sorted by their occurrence in the top 40 ranked features within the 7100 rankings.

The sliding window subsets for the reliefF and RF rankings show substantial stability in classification accuracy as lower ranked features replace the first few high ranked ones.

Further evaluation of top ranked features is done by applying PCA to subsets of various sizes.

Eliminate a pre-defined percentage of the lowest ranked features (heuristically chosen).  .

It can be seen that the top 20 ranked features vary with the program run length.

The top ranked features in a ranked distribution often retain most of the information.

The 6 best-ranked features are Current Density Norm, Range Within Pattern, Mean Local Skewness 15 s, λ, 8-13 Hz and FitError.

Table 2 depicts the five top-ranked features according to mean score and standard deviation (sd) for the feature ranking methods ANOVA, IG, and RF.

Having obtained a ranking of the features, the additional information needed is how many of the best-ranked features are optimal for classification.

As a common preselecting strategy, feature ranking-based approach could quickly reduce the feature space by picking up high-ranked features [ 14].

This method is repeated for a set of non-ranked features of the same size.