Machine learning framework with feature selection approaches for thyroid disease classification and associated risk factors identification

Journal of Electrical Systems and Information Technology

Table 5 The performance metrics of the algorithms after applying Boruta (Fig. 8)

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	95	68	91	74
RF	99	96	90	93
DT	99	91	83	87
SVM	93	63	84	68
AB	98	84	78	80
GB	98	83	76	79

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	95	68	91	74
RF	99	96	90	93
DT	99	91	83	87
SVM	93	63	84	68
AB	98	84	78	80
GB	98	83	76	79

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	95	68	91	74
RF	99	96	90	93
DT	99	91	83	87
SVM	93	63	84	68
AB	98	84	78	80
GB	98	83	76	79

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	95	68	91	74
RF	99	96	90	93
DT	99	91	83	87
SVM	93	63	84	68
AB	98	84	78	80
GB	98	83	76	79