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Table 1 Training, validation, and cross-validation matrices for the best performing LDA models for identification of lignin, using 5 sheets (above) and 1 sheet (below)

From: Characterisation of 19th and 20th century Chinese paper

LDA model Training Validation Cross-validation
Low (0/1) High (2) Total % correct Pre-processing Low (0/1) High (2) Total % correct Low (0/1) High (2) Total % correct
Low (0/1) 71 9 80 89 f’(χ), SNV, 4 PC scores 43 0 43 100 71 9 80 89
High (2) 4 24 28 86 3 8 11 73 4 24 28 86
Total 75 33 108 88 46 8 54 94 75 33 108 88
Low (0/1) 72 8 80 90 f’(χ), MSC, 5 PC scores 42 1 43 98 71 9 80 89
High (2) 4 24 28 86 1 10 11 91 5 23 28 82
Total 76 32 108 89 43 11 54 96 76 32 108 87
  1. When calculating first derivative (f’(χ)), the window width of 5 was used