A GA with supposedly parallel fitness evaluation tunes an MLP on three disease datasets and reports 99.12%, 94.87%, and 100% accuracy, but the test set is used as the tuning objective.
End 4.0 Results The study was able to propose a modified GA for optimizing the MLP
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction
A GA with supposedly parallel fitness evaluation tunes an MLP on three disease datasets and reports 99.12%, 94.87%, and 100% accuracy, but the test set is used as the tuning objective.