Table 3 The mean squared error of different regularization methods
From: Multi-target drug repositioning by bipartite block-wise sparse multi-task learning
ℓ 1 | ℓ 2,1 | BBSS-MTL(λ1,λ3=0) | BBSS-MTL(λ3=0) | |
|---|---|---|---|---|
Data1.0 | 3.472 ±0.023 | 4.272 ±0.055 | 3.328 ±0.018 | 3.325 ±0.017 |
Data1.1 | 3.401 ±0.020 | 4.324 ±0.058 | 3.269 ±0.016 | 3.268 ±0.018 |
Data1.2 | 3.409 ±0.019 | 4.238 ±0.072 | 3.265 ±0.016 | 3.266 ±0.016 |
Data1.3 | 3.513 ±0.019 | 4.430 ±0.076 | 3.388 ±0.019 | 3.391 ±0.020 |
Data2.0 | 1.313 ±0.031 | 1.315 ±0.018 | 1.014 ±0.007 | 1.016 ±0.007 |
Data2.1 | 1.331 ±0.037 | 1.337 ±0.025 | 1.031 ±0.007 | 1.029 ±0.007 |
Data2.2 | 1.372 ±0.028 | 1.383 ±0.026 | 1.087 ±0.008 | 1.089 ±0.008 |
Data2.3 | 1.506 ±0.025 | 1.529 ±0.030 | 1.199 ±0.011 | 1.200 ±0.008 |