Table 12 Comparison of proposed work with a recent existing system.
From: Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification
Refs | Methodology | Accuracy |
|---|---|---|
Ref4 | SVM with Feed-Forward Back Propagation Neural Network and GA optimization | Accuracy: 98.08% |
Ref9 | Hybrid CNN and Ebola Optimization Search Algorithm (EOSA) | Accuracy: 93.21% |
Ref11 | Random Forest classifier with K-means visualization | Accuracy: 92.14% |
Ref12 | Whale Optimization Algorithm with SVM | Accuracy: 95% |
Proposed work | GGO + MLP | Accuracy: 98.4% |
