% Python_3.8.18.
% Sklearn_0.23.1.
% NumPy_1.23.5.
% SciPy_1.10.1.
% Thu Oct 17 16:12:49 2024
% Created by run_flow_on_task
@RELATION openml_task_801_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE prediction {tested_negative, tested_positive}
@ATTRIBUTE correct {tested_negative, tested_positive}
@ATTRIBUTE confidence.tested_negative NUMERIC
@ATTRIBUTE confidence.tested_positive NUMERIC

@DATA
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0,9,7,373,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,498,tested_negative,tested_positive,0.6502890173410405,0.34971098265895956
0,9,7,228,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,626,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,0,tested_negative,tested_positive,0.6502890173410405,0.34971098265895956
0,9,7,89,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,273,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,759,tested_negative,tested_positive,0.6502890173410405,0.34971098265895956
0,9,7,176,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,519,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,2,tested_negative,tested_positive,0.6502890173410405,0.34971098265895956
0,9,7,467,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,525,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956
0,9,7,48,tested_negative,tested_positive,0.6502890173410405,0.34971098265895956
0,9,7,512,tested_negative,tested_negative,0.6502890173410405,0.34971098265895956