Confusion matrix from the global dataset execution with the best score (ANN, NoSNV+D, D2W5 and parameter set 6) with an overall correctly classified value of 77.08% (24 leaves per variety).

Each row represents the actual variety and in which one was classified. Bolded values (diagonal of the matrix) are the number of samples properly classified. The last column shows the correctly classified percentage for each variety.ANN: Artificial Neural Network; NoSNV+D: No application of Standard Normal Variate followed by De-trending; D2W5: Second-degree derivative and window size 5 Savitzky-Golay filter.V: Viura; Gr: Grenache; T: Treixadura; Te: Tempranillo; S: Syrah; A: Albariño.Confusion matrix from the global dataset execution with the best score (ANN, NoSNV+D, D2W5 and parameter set 6) with an overall correctly classified value of 77.08% (24 leaves per variety).