Figure 8
(A–D) present the F1-score, Hamming_loss, Accuracy_score and Zero-one_loss of the model in relation to the meta-target Precision. Similarly, (E–H) showcase the F1-score, Hamming_loss, Accuracy_score and Zero-one_loss of the model with respect to the meta-target Recall. For each metric, the boxes represent the interquartile range, with the central line indicating the median value. The horizontal lines positioned above and below the boxes represent the maximum and minimum values within the data, respectively. Discrete black dots are used to denote any outliers that may exist.

(AD) present the F1-score, Hamming_loss, Accuracy_score and Zero-one_loss of the model in relation to the meta-target Precision. Similarly, (EH) showcase the F1-score, Hamming_loss, Accuracy_score and Zero-one_loss of the model with respect to the meta-target Recall. For each metric, the boxes represent the interquartile range, with the central line indicating the median value. The horizontal lines positioned above and below the boxes represent the maximum and minimum values within the data, respectively. Discrete black dots are used to denote any outliers that may exist.

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