Skip to main content
. 2020 Mar 9;8(1):e001055. doi: 10.1136/bmjdrc-2019-001055

Table 3.

Assessment of models by different algorithms of the selected data governance

Models AUC Precision Recall F1 score (Online supplementary file 1)
Bayesian network 0.764±0.029 0.729±0.055 0.717±0.042 0.721±0.025
KNN 0.838±0.018 0.813±0.046 0.636±0.062 0.712±0.039
SVM 0.765±0.044 0.728±0.059 0.589±0.078 0.647±0.046
C&R Tree 0.755±0.030 0.739±0.026 0.669±0.066 0.700±0.033
CHAID 0.770±0.041 0.792±0.035 0.655±0.049 0.716±0.031
Ensemble 0.866±0.082 0.824±0.043 0.732±0.061 0.773±0.032
P value p<0.0001 p<0.0001 p<0.0001 p<0.0001

The bold value indicate the performance parameters of the best algorithm.

AUC, area under the receiver operating characteristic curve.