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Table 3 McRUM results on iris 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

97.56 (0.70)

96.00 (5.62)

97.56 (0.70)

96.00 (5.62)

OVR

97.85 (0.82)

96.67 (5.67)

97.85 (0.82)

96.67 (5.67)

Dense

67.56 (2.88)

68.00 (16.27)

97.70 (0.74)

96.00 (6.44)

Sparse

66.67 (1.16)

66.67 (10.42)

97.78 (0.92)

95.33 (5.49)

  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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