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Usually, after establishing a primary set of features, a set of experiments can be carried out in order to improve the features sets by adding, deleting or modifying features [43].
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Performance evaluation of our method revealed an area under the ROC-curve (AUC) value greater than 0.926, supporting our primary hypothesis, as no single set of features reached an AUC greater than 0.877.
For example, someone who uses their car to accomplish the job of transporting kids to soccer practice might need a very different set of features than someone whose primary job is to shuttle elderly parents.
The set of features was the same that was used in the primary system.
Therefore, a resulting set of features contains n · d features.
However, miRNAs have distinct set of features.
Choosing an appropriate set of features is critical.
Each classifier is trained on a limited set of features.
This set of features mostly contained only partial CTLD matches.
All classifications were done using the same set of features.
Table 1 presents the set of features we use.
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