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Table 11 Classification performance of all classifiers by applying tenfold validation using proposed algorithms with selected features

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

Feature types and feature selection methodsComputation time (s)
SVMKNNDecision tree
Coffee leaf   
 Extracted features0.72820.53090.4021
 Selected features   
 Baby spinach leaf   
 Extracted features0.89750.42650.4053
 Selected features   
Peashoot leaf   
 Extracted features0.68250.44050.4196
 Selected features