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Table 8 Classification performance for coffee leaf by applying tenfold validation using proposed algorithm with selected features

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

Feature selection methodsClassifiersSerial num. of featuresTotal no of featuresAccuracy (%)
SFSSVM241–19, 21–2598.5
KNN221–6, 8–11, 13–21, 23–2597.2
D-Tree241–23, 2496.5
SBSSVM241–19, 21–2598.6
KNN241–21, 23–2597.6
D-Tree241–23, 2596.2
Relief-FSVM102, 4, 10, 11, 17–21, 2597.1
KNN95.9
D-Tree96.8