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Table 7 Performance of physicochemical descriptor classifier on an independent test data.

From: LacSubPred: predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in silico approaches

Cluster # ACC ERR MCC PER SEN SPE FN FP TP TN
cluster-0 100 0 1 100 100 100 0 0 3 30
cluster-1 97 0.03 0.851 100 75 100 1 0 3 29
cluster-2 100 0 1 100 100 100 0 0 3 30
cluster-3 97 0.03 0 0 0 100 1 0 0 32
cluster-4 100 0 1 100 100 100 0 0 2 31
cluster-5 97 0.03 0.909 100 86 100 1 0 6 26
cluster-6 100 0 1 100 100 100 0 0 3 30
cluster-7 100 0 1 100 100 100 0 0 3 30
cluster-8 97 0.03 0.851 100 75 100 1 0 3 29
cluster-9 100 0 1 100 100 100 0 0 1 32
cluster-10 97 3.03 0.696 50 100 97 0 1 1 31
cluster-11 97 3.03 0.696 50 100 97 0 1 1 31
Overall 97.98 1.02 0.8678 87.88 87.88 98.90 - - - -
  1. ACC: accuracy, ERR: error, MCC: Matthews Correlation Coefficient, PER: Precision, SEN: Sensitivity, SPE: Specificity, FN: False Negatives, FP: False Positives, TP: True Positives, TN: True Negatives.
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BMC Bioinformatics

ISSN: 1471-2105

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