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. 2021 Mar 16;11(3):528. doi: 10.3390/diagnostics11030528

Table 3.

The classification accuracy results (%) using the CML approaches on the KIMIA Path960 dataset.

Classification
Algorithm		 Accuracy Recall Precision
KNN 88.54 87.25 88.49
RF 93.45 92.89 93.47
MLP 83.19 82.64 80.50
AdaBoost 68.34 68.02 64.77
SVM 74.37 74.19 71.62