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train · 15 rows

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Epoch int64 1 5	Fold int64 1 3	Accuracy float64 0.83 0.85	F1-score float64 0.83 0.85	MCC float64 0.79 0.81	ROC AUC float64 0.96 0.96	Precision float64 0.83 0.85	Recall float64 0.83 0.85
1	1	0.835608	0.834286	0.788448	0.957567	0.834128	0.835608
1	2	0.836274	0.835112	0.789379	0.957553	0.835598	0.836274
1	3	0.833468	0.831876	0.785893	0.95727	0.832168	0.833468
2	1	0.851394	0.850724	0.808812	0.96312	0.85074	0.851394
2	2	0.848413	0.84723	0.804978	0.961701	0.847091	0.848413
2	3	0.84936	0.848475	0.806253	0.962209	0.848424	0.84936
3	1	0.851254	0.850651	0.808562	0.963516	0.851256	0.851254
3	2	0.84929	0.848536	0.806235	0.962416	0.849029	0.84929
3	3	0.852377	0.850927	0.810022	0.961734	0.851063	0.852377
4	1	0.850307	0.849774	0.807612	0.963139	0.851384	0.850307
4	2	0.848342	0.847534	0.804826	0.961236	0.846982	0.848342
4	3	0.847465	0.845596	0.803498	0.960798	0.845336	0.847465
5	1	0.849781	0.849317	0.806747	0.962583	0.850534	0.849781
5	2	0.849079	0.847905	0.805714	0.959935	0.84775	0.849079
5	3	0.84515	0.842862	0.800291	0.959619	0.843147	0.84515

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