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. 2020 Nov 4;7(1):94. doi: 10.1186/s40537-020-00369-8

Table 18.

From [30], “Precision , recall and F-measure of CatBoost, Decision Tree classifier and KNN for 9 and 71 features”

Features CatBoost (%) DT (%) KNN (%)
Precision 71 98.11 97.23 94.18
9 97.40 96.8 96.58
Recall 71 99.27 97.80 45.10
9 98.68 98.24 99.12
F-Measure 71 98.69 97.51 61.00
9 98.04 97.53 97.83