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Table 3 The mean squared error of different regularization methods

From: Multi-target drug repositioning by bipartite block-wise sparse multi-task learning

  1 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
  1. Best results are shown in bold