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Compute the F-measure for the combined two selected features; and 5.
that satisfy the Lukasiewicz implication according to the fixed value of δ; Choose the best results of the features and determine the percentage of reduction; Combine the feature with the highest score (e.g., the F-measure) with all the other features; Compute the F-measure for the combined two selected features; and.
The function R was used to evaluate the redundancy between two selected features and function D reflects the relevance between features and classifications.
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Additionally, combining the two groups and performing a feature selection showed that four of the five selected features were entropy-based.
By using the AdaBoost method with the twenty-three selected features, the prediction model yields an accuracy rate of 88.1% for the jackknife test and 87.5% for an independent set test, with increased accuracy over the original dataset by 8.5% and 10.42%, respectively.
Third, and most importantly, we combine five selected features and prove that our method has high accuracy, is adaptive, and has a low requirement for samples in our experiments.
For example, the four selected features for registration as well as their respective CPs of an image pair with relatively high mean registration error are depicted in Fig. 16.
Furthermore, the six selected features mirror those used in previous studies, allowing comparisons to be made.
When using the six selected features with the random forest, support vector machine, and linear logistic regression classifiers, the result showed accuracy levels of 72.23%, 71.28%, and 70.19%, respectively.
In order to prove that it is possible to unsupervisedly classify the three domains of life, the authors should apply different clustering algorithms both to the dataset composed of the 33 original features (first evaluation) and to the dataset composed of only the five selected features (second evaluation).
We then fit each classifier to the exome capture data using only the four selected feature sets output from the ensemble feature selection method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com