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Table 2 Performance of machine learning classifiers in segmenting CT scans of sorghum grain

From: Application of X-ray computed tomography to analyze the structure of sorghum grain

Classifier Training time (s) Root mean squared error Percent Correct
Random Forest 3.5 0.03 99.9
SMO 3.4 0.32 98.1
Naive Bayes 0.2 0.15 93.7
Multilayer perceptron 3.6 0.07 98.2