Research Article
[Retracted] Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator
Algorithm 1
Signed-Rank Gain Preprocessing.
Input: Dataset “,” Attributes “” | Output: Informative and significant preprocessed features | Process | (1) | Begin | (2) | For dataset “” with attributes “” | (3) | Measure “” | (4) | Measure “” | (5) | If “” then exclude the pairs | (6) | Return reduced sample size “” | (7) | Rank reduced sample size “” from ascending to descending | (8) | Measure test significance “” | (9) | Return (test significance “”) | (10) | Else go to step 2 | (11) | Measure entropy for each test significance “” | (12) | Measure information gain “” of an attribute “” | (13) | Return (subset of features “”) | (14) | End if | (15) | End for | (16) | End |
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