From: A voting-based machine learning approach for classifying biological and clinical datasets
Dataset | WCC | LCA | PSO | ICA |
---|---|---|---|---|
LIV | 1 | 1.68e−14 | 9.42e−04 | 1.68e−14 |
PID | 1 | 2.70e−14 | 0.001 | 4.15e−14 |
SHD | 1.52e−04 | 8.38e−13 | 0.103 | 4.52e−12 |
CHD2 | 2.35e−08 | 8.64e−14 | 1.98 e−04 | 1.19e−12 |
CHD5 | 4.35e−05 | 1.29e−12 | 2.41 e−04 | 4.28e−12 |
HEP | 0.031 | 0.029 | 8.37e−11 | 8.65e−12 |
PAR | 1.68e−14 | 1.68e−14 | 6.92e−07 | 1.68e−14 |
WDBC | 2.76e−13 | 2.002e−13 | 9.16e−07 | 1.17e−12 |
LUNG | 1.92e−04 | 1.81e−07 | 1.25e−09 | 5.69e−09 |
ARRYTM | 0.061 | 2.14e−11 | 2.08e−11 | 5.37e−11 |
PARKINSON | 0.078 | 1.18e−10 | 2.93e−11 | 2.59e−11 |
ARCENE | 3.94e−04 | 1.81e−05 | 1.11e−07 | 1.29e−11 |
GENEEXPR | 1 | 1 | 0.24 | 0.24 |