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Table 4 McRUM results on yeast dataset using 10-fold cross-validation

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

 

Naïve Test Acc

GBT Test Acc

AP

59.43 (6.27)

59.10 (6.21)

OVR

58.90 (5.29)

59.51 (4.02)

Dense

3.43 (1.49)

57.75 (3.11)

Sparse

2.02 (1.62)

59.23 (2.79)

  1. Test Acc is the mean accuracy on the test dataset. The standard deviation is shown in the parenthesis. Note that, due to the large dataset size and the high computational complexity of the GBT algorithm, the mean accuracy on the training partitions cannot be provided. (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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