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Accuracy for the different models over an incremental set of features, ranked by their importance computed from the different ML strategies. The set of features is gradually incremented from 1 to 153 features.
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The analysis of discourse and the study of what characterizes it in terms of communicative objectives is essential to most tasks of Natural Language Processing. Consequently, research on textual genres as expressions of such objectives presents an opportunity to enhance both automatic techniques and resources. To conduct an investigation of this ki...
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... {a 0 m , .., a n m } is calculated with a j m being the accuracy of the model m computed with the j first features of F. Since features are included by importance, accuracy growth is expected to be the fastest for the set of features. We compute such a process for the 16 feature selection methods combined with the BMs resulting from Section V-A. Fig. 3 shows accuracy measures for the combinations mentioned. Notably, the accuracy increased significantly when the first features of the set, ranked by importance, were input. Thereafter, at a certain point accuracy stabilized. For a given feature method, seven A sets have been computed and it is possible to calculate a new set of mean ...
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