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Table 6 McRUM results on satellite image training and test datasets

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

 

Naïve

GBT

 

Train Acc

Test Acc

Train Acc

Test Acc

AP

89.85

88.05

89.76

87.70

OVR

89.56

87.65

89.58

87.50

Dense

10.60

11.85

80.56

77.95

Sparse

23.40

23.50

85.73

84.55

  1. Train/Test Acc is the accuracy on the training/test dataset. Note that an explicit partitioning of the data into training and test sets was provided. Therefore, cross-validation experiment was not performed and, as a result, no information on standard deviation is available. (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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