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fernandabufon
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fold_results_base_v1

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train · 15 rows

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Epoch int64 1 5	Fold int64 1 3	Accuracy float64 0.7 0.72	F1-score float64 0.7 0.72	MCC float64 0.67 0.69	ROC AUC float64 0.94 0.95	Precision float64 0.7 0.72	Recall float64 0.7 0.72
1	1	0.697612	0.695655	0.670002	0.942973	0.697147	0.697612
1	2	0.700521	0.69639	0.673239	0.945011	0.697142	0.700521
1	3	0.700642	0.696994	0.673313	0.944315	0.697011	0.700642
2	1	0.718337	0.71542	0.692543	0.948221	0.715288	0.718337
2	2	0.717489	0.71443	0.691624	0.950089	0.714245	0.717489
2	3	0.71555	0.712799	0.689589	0.950279	0.713054	0.71555
3	1	0.714338	0.711191	0.6886	0.9494	0.714445	0.714338
3	2	0.716398	0.712057	0.690834	0.950963	0.714935	0.716398
3	3	0.715792	0.71391	0.690083	0.949395	0.718486	0.715792
4	1	0.719549	0.714648	0.694478	0.948252	0.71792	0.719549
4	2	0.718458	0.714992	0.692855	0.950278	0.715493	0.718458
4	3	0.713732	0.712687	0.687792	0.948758	0.717302	0.713732
5	1	0.715186	0.709671	0.690052	0.947126	0.716685	0.715186
5	2	0.717852	0.714953	0.692289	0.950195	0.716462	0.717852
5	3	0.715065	0.713819	0.689307	0.948319	0.719731	0.715065

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