train.csv

accuracy,precision,recall,f1,roc_auc,loss,epoch
0.24775,0.6783711305971103,0.24775,0.16259946623338914,0.507810450461795,0.7298014163970947,0
0.7885,0.62173225,0.7885,0.6952555213866368,0.4758198527593015,0.6304011344909668,1
0.7885,0.62173225,0.7885,0.6952555213866368,0.5136400398158517,0.5550760626792908,2
0.7885,0.62173225,0.7885,0.6952555213866368,0.5271116193028929,0.5407291650772095,3
0.7885,0.62173225,0.7885,0.6952555213866368,0.5256627480433117,0.541938841342926,4
0.7885,0.62173225,0.7885,0.6952555213866368,0.5499495181172619,0.521625280380249,5
0.7885,0.62173225,0.7885,0.6952555213866368,0.5647155625113369,0.5220848321914673,6
0.7885,0.62173225,0.7885,0.6952555213866368,0.591867469879518,0.5186153650283813,7
0.7885,0.62173225,0.7885,0.6952555213866368,0.5811332301958861,0.5141386389732361,8
0.7885,0.62173225,0.7885,0.6952555213866368,0.5863489418667578,0.5129140019416809,9