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Table 13 The confusion accuracy with leave-one-observations-out cross-validation method of all leaves for each day along with monitoring the water content values for each day

From: Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

SamplesClassesClassifiers test accuracy performance (%)Water content (%)
SVMKNND-Tree
Coffee leafDay110010010082.84
Day295.288.110041.22
Day310092.692.312.34
Day41001001000.71
Variance0.581.090.92 
Peashoot leafDay110010010076.84
Day210087.587.549.22
Day393.678.474.218.91
Day495.089.391.70.21
Variance1.552.273.60 
Baby spinach leafDay110010010071.14
Day210010010034.22
Day392.688.675.510.34
Day494.789.791.30.10
Variance1.762.904.60