Fig 1.
Frequency and percentage of different dataset contexts.
The percentage figure within the bracket indicates the corresponding percentage value of the left number.
Fig 2.
Confusion matrix.
Table 1.
Paired-sample t-test results for the four performance measures between trained tree-based and non-tree-based supervised machine learning algorithms for the 200 datasets considered in this study.
Table 2.
Frequency statistics of the best performance of different trained machine learning algorithms against four performance metrics.
Table 3.
Paired-sample t-test results for the accuracy measure between tree-based and non-tree-based supervised machine learning algorithms for the datasets from disease prediction and university-ranking contexts.
Table 4.
Paired-sample t-test results for the accuracy measure between tree-based and non-tree-based supervised machine learning algorithms during the test phase for the 200 datasets considered in this study.