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Performance results, fivefold cross-validation experiment.

Performance results, fivefold cross-validation experiment.

<p>Performance results, fivefold cross-validation experiment.</p>

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Bibliographic Details
Main Author: Eslam Hamouda (5172083) (author)
Other Authors: Mayada Tarek (5172080) (author)
Published: 2024
Subjects:
Medicine
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
universal rule guides
grey wolf optimizer
vast feature space
first layer applies
exploration ability allows
statlog dna dataset
given dna sequence
reliable feature selection
div >< p
proposed method divides
predicting junction type
classification model trained
feature selection
second layer
method using
junction type
generalization ability
ensemble model
proposed approach
various partitions
using cross
thus leading
thorough examination
test sets
study presents
splicing regulation
selected features
rna splicing
retrieved features
remaining held
proposed gwo
implementation code
hybrid approach
gene structure
finding suggests
ensemble learning
efficiently search
disease causes
computational biology
comprehensively evaluating
classifier ’
96 %.
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