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. 2020 Jun 30;10:10620. doi: 10.1038/s41598-020-67640-z

Table 14.

Classification report.

Method True positive False negative False positive True negative Precision Accuracy Recall f1-score
Our model 887 1,318 648 4,477 0.578 0.732 0.402 0.474
Decision jungle 540 912 390 3,045 0.581 0.734 0.372 0.453
Logistic regression 557 895 389 3,046 0.589 0.737 0.384 0.465
Support vector machine 556 896 387 3,048 0.59 0.737 0.383 0.464
boosted decision tree 568 884 439 2,996 0.564 0.729 0.391 0.462
Bayes point machine 543 909 388 3,047 0.583 0.735 0.374 0.456
Synthetic minority oversampling 3,645 789 1,326 2,086 0.73 0.73 0.82 0.77
Positive label: 1 Negative label: 0