From: Unsupervised encoding selection through ensemble pruning for biomedical classification
 | bayes | dt | lr | mlp | rf |
---|---|---|---|---|---|
acp_mlacp | 3.36 (±0.099) | 2.93 (±0.084) | 2.81 (±0.078) | 2.8 (±0.076) | 2.81 (±0.101) |
aip_antiinflam | 2.82 (±0.077) | 2.48 (±0.051) | 2.53 (±0.043) | 2.34 (±0.076) | 2.33 (±0.059) |
amp_antibp2 | 3.09 (±0.087) | 2.71 (±0.076) | 3.16 (±0.129) | 2.93 (±0.131) | 2.82 (±0.091) |
atb_antitbp | 3.42 (±0.107) | 3.2 (±0.087) | 3.44 (±0.124) | 3.31 (±0.106) | 3.09 (±0.105) |
avp_amppred | 3.06 (±0.087) | 2.6 (±0.065) | 3.21 (±0.09) | 2.98 (±0.168) | 2.6 (±0.074) |
cpp_mlcpp-complete | 2.99 (±0.099) | 2.55 (±0.081) | 2.57 (±0.063) | 2.48 (±0.078) | 2.59 (±0.097) |
hem_hemopi | 3.3 (±0.073) | 2.86 (±0.145) | 3.16 (±0.105) | 2.87 (±0.143) | 2.86 (±0.156) |
isp_il10pred | 3.08 (±0.089) | 2.72 (±0.055) | 2.49 (±0.041) | 2.53 (±0.064) | 2.61 (±0.069) |
nep_neuropipred | 3.28 (±0.153) | 2.81 (±0.096) | 3.26 (±0.288) | 3.16 (±0.347) | 2.84 (±0.122) |
pip_pipel | 3.21 (±0.08) | 2.36 (±0.044) | 2.3 (±0.031) | 2.33 (±0.048) | 2.39 (±0.051) |