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Table 1 McRUM results on wine dataset using 10-fold cross-validation

From: Multiclass relevance units machine: benchmark evaluation and application to small ncRNA discovery

 

Naïve

GBT

 

Train Acc

Test Acc

Train Acc

Test Acc

AP

99.44 (0.20)

97.78 (2.87)

99.44 (0.20)

97.78 (2.87)

OVR

99.44 (0.20)

97.75 (3.92)

99.44 (0.20)

97.75 (3.92)

Dense

84.40 (1.09)

83.63 (6.99)

99.44 (0.20)

98.30 (2.74)

Sparse

91.01 (1.76)

90.00 (6.31)

99.50 (0.26)

97.22 (4.72)

  1. 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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BMC Genomics

ISSN: 1471-2164

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