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

Journal of Electrical Systems and Information Technology

Table 6 The performance metrics of the algorithms after applying RFE

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	97	76	96	83
RF	99	89	94	91
DT	99	88	92	90
SVM	93	62	91	68
AB	98	85	80	82
GB	98	83	85	84

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	97	76	96	83
RF	99	89	94	91
DT	99	88	92	90
SVM	93	62	91	68
AB	98	85	80	82
GB	98	83	85	84

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	97	76	96	83
RF	99	89	94	91
DT	99	88	92	90
SVM	93	62	91	68
AB	98	85	80	82
GB	98	83	85	84

Algorithm	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
KNN	97	76	96	83
RF	99	89	94	91
DT	99	88	92	90
SVM	93	62	91	68
AB	98	85	80	82
GB	98	83	85	84