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Table 6 Performance of physicochemical descriptor classifier in a 5-fold cross-validation test.

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 98.63 0.35 0.91918 96.15 89.29 99.62 3 1 25 264
cluster-1 98.98 0.69 0.72522 66.67 80 99.31 1 2 4 286
cluster-2 98.98 0.01 0.8483 100 72.73 100 3 0 8 282
cluster-3 98.63 0.35 0.9356 97.06 91.67 99.61 3 1 33 256
cluster-4 98.98 1.02 0.93961 89.29 100 98.88 0 3 25 265
cluster-5 100 0 1 100 100 100 0 0 7 286
cluster-6 100 0 1 100 100 100 0 0 23 270
cluster-7 98.98 0.69 0.96881 96.72 98.33 99.14 1 2 59 231
cluster-8 99.66 0.34 0.97797 96 100 99.63 0 1 24 268
cluster-9 98.98 0.35 0.93086 95.65 91.67 99.63 2 1 22 268
cluster-10 100 0 1 100 100 100 0 0 39 254
cluster-11 99.32 0.01 0.90134 100 81.82 100 2 0 9 282
Overall 99.03 0.01 0.9367 94.20 94.20 99.47 - - - -
  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.