Evaluation of diffrent LLMs in Test Smell Detection

	A	B	C	D	E
1	LLM	Precision	Recall	F1_Score	Accuracy

2	claude-3.5-sonnet	0.345679	0.509091	0.411765	0.907834
3	Qwen2.5-Coder-32B-Instruct	0.198473	0.472727	0.279570	0.849776
4	claude-3-5-haiku	0.219512	0.327273	0.262774	0.882831
5	gpt-4o-mini	0.238806	0.290909	0.262295	0.896074
6	gpt-4o	0.235294	0.290909	0.260163	0.895040
7	finetuned-lamma3.1-8b	0.164179	0.400000	0.232804	0.838350
8	mixtral-8x7b-32768	0.150000	0.436364	0.223256	0.814650
9	gemma-7b-it	0.121622	0.490909	0.194946	0.759698
10	Qwen2.5-72B-Instruct	0.125926	0.309091	0.178947	0.827051
11	gemma2-9b-it	0.138462	0.176471	0.155172	0.883194
12	llama3-8b-8192	0.079470	0.218182	0.116505	0.801743
13	gemini-1.5-flash-8b	0.082474	0.145455	0.105263	0.849057
14	llama3-groq-70b	0.032432	0.109091	0.050000	0.749451
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