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Table 1 Classification performance of RF model for the 40 variables. Confusion matrix for the RF model trained with the complete set of predictor variables ( n= 40) and a down-sampling procedure, estimated by averaging the results over ten repetitions of 10-fold cross-validation. Standard deviations are given in parenthesis *

From: What variables are important in predicting bovine viral diarrhea virus? A random forest approach

   Real
   BVDV-negative BVDV-positive
Predicted BVDV-negative 114.0 (6.5) 2.83 (0.25)
BVDV-positive 54.5 (6.5) 4.67 (0.25)
  1. *Performance metrics: ACC: 67.42 (Sd. 3.69); SPE: 67.65 (Sd. 3.85) and SEN: 62.26 (Sd. 3.44).