Table 1 |
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McRUM results on wine dataset using 10-fold cross-validation |
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Naïve |
GBT |
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Train Acc |
Test Acc |
Train Acc |
Test Acc |
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|
|
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AP |
99.44 (0.20) |
97.78 (2.87) |
99.44 (0.20) |
97.78 (2.87) |
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|
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OVR |
99.44 (0.20) |
97.75 (3.92) |
99.44 (0.20) |
97.75 (3.92) |
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|
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Dense |
84.40 (1.09) |
83.63 (6.99) |
99.44 (0.20) |
98.30 (2.74) |
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|
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Sparse |
91.01 (1.76) |
90.00 (6.31) |
99.50 (0.26) |
97.22 (4.72) |
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|
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Train/Test Acc is the mean accuracy on the training/test dataset. The standard deviation is shown in the parenthesis. (AP: all-pairs, OVR: one-versus-rest, Dense: random dense, Sparse: random sparse) |
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Menor et al. BMC Genomics 2013 14(Suppl 2):S6 doi:10.1186/1471-2164-14-S2-S6 |
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