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. 2022 May 3;22(9):3472. doi: 10.3390/s22093472

Table 5.

Precision, recall, F1-score, and accuracy in percentage values of the DT, SVM, k-NN, and NB algorithms applied to the supervised test dataset split into 70% for training and 30% for testing.

ML Algorithms Precision [%] Recall [%] F1-Score [%] Accuracy [%]
DT 100 92 96 96
SVM 0 0 63 46
k-NN 53 100 70 53
NB 85 42 63 65