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We removed attributes for which we had fewer than 20 linked pairs with positive values according to the MIPS network.
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The details of the result are included as an Additional file 3. Fig. 15 Discretization results of: a average number of intervals, b average running times (seconds), and c average number of remove attributes for imbalanced datasets.
The details of the result are included as an Additional file 2. Fig. 11 Discretization results of: a average number of intervals, b average running times (seconds), and c average number of remove attributes for standard datasets.
The average number of remove attributes of all discretization algorithms is summarized in Fig. 11c.
The second change is remove attributes in blocks, rather than one by one.
The second mechanism, adaptive removing attribute (ARA) mechanism, removes some redundant attributes in the process of selecting node.
In our work, we removed the attributes with score zero.
Therefore, we removed all attributes (residues) with shortest distances above the 4.0 Å threshold.
Wherein, attribute selection was carried out to remove redundant attributes using a correlation-based filter method with default parameters [ 24].
They do not remove any attributes.
This will permanently remove selected attributes and not make a copy of them.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com