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fernandabufon
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fold_results_base_v2

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train · 15 rows

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Epoch int64 1 5	Fold int64 1 3	Accuracy float64 0.72 0.74	F1-score float64 0.71 0.74	MCC float64 0.69 0.71	ROC AUC float64 0.95 0.95	Precision float64 0.71 0.74	Recall float64 0.72 0.74
1	1	0.723279	0.721125	0.692746	0.946982	0.721062	0.723279
1	2	0.721649	0.71779	0.69121	0.946022	0.718186	0.721649
1	3	0.717029	0.71282	0.686069	0.946499	0.71303	0.717029
2	1	0.735145	0.732393	0.706006	0.951844	0.732218	0.735145
2	2	0.734601	0.732383	0.705255	0.951197	0.731554	0.734601
2	3	0.740127	0.737566	0.711477	0.951786	0.737146	0.740127
3	1	0.737319	0.734786	0.708454	0.951708	0.734962	0.737319
3	2	0.732246	0.731897	0.702681	0.950864	0.733649	0.732246
3	3	0.733696	0.731004	0.704779	0.95125	0.734381	0.733696
4	1	0.735054	0.732205	0.705958	0.950823	0.732281	0.735054
4	2	0.733967	0.733331	0.704568	0.951381	0.734736	0.733967
4	3	0.737047	0.734197	0.708391	0.951026	0.73668	0.737047
5	1	0.733877	0.731583	0.704682	0.950856	0.732323	0.733877
5	2	0.729348	0.728649	0.699479	0.949509	0.73031	0.729348
5	3	0.73288	0.729532	0.703797	0.950505	0.731725	0.73288

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