Sentence examples for most informative features from inspiring English sources
The most informative features (according to information gain [ 32]) were the nucleotides in the NAGNAG and its immediate vicinity, and even a relatively simple classifier like the Naïve Bayes classifier could match the more sophisticated Bayesian network and Support vector machine.
The performance of random forests using clinical measurements, clinical codes and their combination after selecting different proportions of the most informative features according to their information gain scores are shown in Figure 3 for accuracy and Figure 4 for AUC.
It ranks features according to certain information criteria and only the most informative features are used for classification.
When, e.g., setting the information gain parameter to 50, the fifty percent "most informative features" are kept, reducing the size of the resulting model.
Comparing with standard regression approaches with regularization, the proposed framework integrates the information theoretic criteria in the generalized Lasso model, and sets the most informative features penalty-free to improve prediction accuracy and enhance model interpretability.
To identify the most informative features, four different feature selection algorithms were used to rank the information content of the 41 measured properties associated with the genes; the top twenty of these features were then used for predictions (Supplementary file 4).
The phyletic retention measure was, as in yeast, found to be the most informative feature when ranking by conditional mutual information [ Additional file 1].
It is designed to find the most informative feature subset to facilitate data visualization, clustering, classification, and ranking.
Interestingly, we found that Smad3 again turn to be the most informative feature followed by Pu.1, p300, and H3K27ac (Fig. 2d).
Taken together, these results suggest that Smad3 is the most informative feature to distinguish SEs in differentiated cells, but this needs further validation in other differentiated cell-types.
Feature selection algorithms enable extracting the most informative feature sets to be included in the data-driven inference engine (or classifier).
