Table 7 Comparison of performance measures of each model.
From: Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction
Model | Accuracy | Precision | Recall | F1-Score | AUC |
|---|---|---|---|---|---|
ELM | 0.710 | 0.725 | 0.840 | 0.778 | 0.9222 |
MSCOA-ELM | 1 | 1 | 1 | 1 | 0.9580 |
COA-ELM | 0.967 | 1 | 0.937 | 0.967 | 0.9533 |
DBO-ELM | 0.939 | 0.946 | 0.959 | 0.951 | 0.9579 |
SABO-ELM | 0.940 | 1 | 0.893 | 0.943 | 0.9575 |
GWO-ELM | 0.976 | 1 | 0.953 | 0.976 | 0.9573 |
WWPA-ELM | 0.908 | 0.987 | 0.852 | 0.915 | 0.9363 |
CDO-ELM | 0.924 | 0.969 | 0.888 | 0.927 | 0.9555 |
LPO-ELM | 0.929 | 0.935 | 0.960 | 0.947 | 0.9576 |
APO-ELM | 0.974 | 0.970 | 0.985 | 0.977 | 0.9559 |
