% Python_3.9.16.
% Sklearn_1.2.2.
% NumPy_1.22.4.
% SciPy_1.10.1.
% Tue Mar 28 14:59:38 2023
% Created by run_flow_on_task
@RELATION openml_task_15_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE prediction {benign, malignant}
@ATTRIBUTE correct {benign, malignant}
@ATTRIBUTE confidence.benign NUMERIC
@ATTRIBUTE confidence.malignant NUMERIC

@DATA
0,0,0,665,benign,benign,1.0,0.0
0,0,0,447,benign,benign,1.0,0.0
0,0,0,593,benign,benign,1.0,0.0
0,0,0,8,benign,benign,0.9,0.1
0,0,0,148,benign,benign,0.5,0.5
0,0,0,180,benign,benign,1.0,0.0
0,0,0,415,benign,benign,0.5,0.5
0,0,0,500,benign,benign,1.0,0.0
0,0,0,131,benign,benign,1.0,0.0
0,0,0,156,benign,benign,1.0,0.0
0,0,0,545,benign,benign,1.0,0.0
0,0,0,595,benign,benign,1.0,0.0
0,0,0,259,malignant,benign,0.0,1.0
0,0,0,433,benign,benign,1.0,0.0
0,0,0,426,benign,benign,0.8,0.2
0,0,0,322,benign,benign,1.0,0.0
0,0,0,616,benign,benign,1.0,0.0
0,0,0,219,benign,benign,1.0,0.0
0,0,0,618,benign,benign,1.0,0.0
0,0,0,287,benign,benign,1.0,0.0
0,0,0,528,benign,benign,1.0,0.0
0,0,0,649,benign,benign,1.0,0.0
0,0,0,538,benign,benign,1.0,0.0
0,0,0,343,benign,benign,1.0,0.0
0,0,0,48,benign,benign,1.0,0.0
0,0,0,695,benign,benign,1.0,0.0
0,0,0,441,benign,benign,0.9,0.1
0,0,0,393,benign,benign,1.0,0.0
0,0,0,275,benign,benign,1.0,0.0
0,0,0,464,benign,benign,1.0,0.0
0,0,0,290,benign,benign,1.0,0.0
0,0,0,687,benign,benign,1.0,0.0
0,0,0,542,benign,benign,1.0,0.0
0,0,0,376,benign,benign,1.0,0.0
0,0,0,462,benign,benign,1.0,0.0
0,0,0,97,benign,benign,1.0,0.0
0,0,0,94,benign,benign,1.0,0.0
0,0,0,77,benign,benign,1.0,0.0
0,0,0,27,benign,benign,1.0,0.0
0,0,0,256,benign,benign,1.0,0.0
0,0,0,277,benign,benign,1.0,0.0
0,0,0,138,benign,benign,1.0,0.0
0,0,0,562,benign,benign,1.0,0.0
0,0,0,242,benign,benign,1.0,0.0
0,0,0,64,benign,benign,1.0,0.0
0,0,0,624,benign,benign,1.0,0.0
0,0,0,334,malignant,malignant,0.0,1.0
0,0,0,414,malignant,malignant,0.0,1.0
0,0,0,54,malignant,malignant,0.1,0.9
0,0,0,339,malignant,malignant,0.0,1.0
0,0,0,357,malignant,malignant,0.0,1.0
0,0,0,123,malignant,malignant,0.2,0.8
0,0,0,292,malignant,malignant,0.2,0.8
0,0,0,50,malignant,malignant,0.2,0.8
0,0,0,160,malignant,malignant,0.0,1.0
0,0,0,215,malignant,malignant,0.0,1.0
0,0,0,213,malignant,malignant,0.0,1.0
0,0,0,293,malignant,malignant,0.4,0.6
0,0,0,41,malignant,malignant,0.1,0.9
0,0,0,488,malignant,malignant,0.2,0.8
0,0,0,668,malignant,malignant,0.2,0.8
0,0,0,530,malignant,malignant,0.0,1.0
0,0,0,46,malignant,malignant,0.0,1.0
0,0,0,223,malignant,malignant,0.0,1.0
0,0,0,227,malignant,malignant,0.0,1.0
0,0,0,680,malignant,malignant,0.0,1.0
0,0,0,63,benign,malignant,0.7,0.3
0,0,0,128,malignant,malignant,0.1,0.9
0,0,0,493,malignant,malignant,0.0,1.0
0,0,0,285,malignant,malignant,0.0,1.0
0,1,0,561,benign,benign,1.0,0.0
0,1,0,521,benign,benign,1.0,0.0
0,1,0,419,benign,benign,0.8,0.2
0,1,0,485,benign,benign,1.0,0.0
0,1,0,647,benign,benign,1.0,0.0
0,1,0,82,benign,benign,1.0,0.0
0,1,0,527,benign,benign,1.0,0.0
0,1,0,324,benign,benign,1.0,0.0
0,1,0,157,benign,benign,1.0,0.0
0,1,0,389,benign,benign,1.0,0.0
0,1,0,176,benign,benign,1.0,0.0
0,1,0,434,malignant,benign,0.0,1.0
0,1,0,556,benign,benign,1.0,0.0
0,1,0,495,benign,benign,1.0,0.0
0,1,0,172,benign,benign,1.0,0.0
0,1,0,181,benign,benign,1.0,0.0
0,1,0,313,benign,benign,1.0,0.0
0,1,0,2,benign,benign,1.0,0.0
0,1,0,185,benign,benign,1.0,0.0
0,1,0,198,benign,benign,1.0,0.0
0,1,0,503,benign,benign,1.0,0.0
0,1,0,88,benign,benign,1.0,0.0
0,1,0,61,benign,benign,1.0,0.0
0,1,0,430,benign,benign,1.0,0.0
0,1,0,66,benign,benign,1.0,0.0
0,1,0,651,benign,benign,1.0,0.0
0,1,0,154,benign,benign,1.0,0.0
0,1,0,153,benign,benign,1.0,0.0
0,1,0,532,benign,benign,1.0,0.0
0,1,0,639,benign,benign,1.0,0.0
0,1,0,573,benign,benign,1.0,0.0
0,1,0,420,benign,benign,1.0,0.0
0,1,0,9,benign,benign,1.0,0.0
0,1,0,321,benign,benign,1.0,0.0
0,1,0,258,benign,benign,1.0,0.0
0,1,0,4,benign,benign,1.0,0.0
0,1,0,19,benign,benign,1.0,0.0
0,1,0,217,benign,benign,1.0,0.0
0,1,0,362,benign,benign,1.0,0.0
0,1,0,475,benign,benign,1.0,0.0
0,1,0,476,benign,benign,1.0,0.0
0,1,0,686,benign,benign,1.0,0.0
0,1,0,307,benign,benign,1.0,0.0
0,1,0,659,benign,benign,1.0,0.0
0,1,0,40,malignant,benign,0.3,0.7
0,1,0,409,benign,benign,1.0,0.0
0,1,0,305,malignant,malignant,0.1,0.9
0,1,0,267,malignant,malignant,0.1,0.9
0,1,0,565,malignant,malignant,0.0,1.0
0,1,0,340,malignant,malignant,0.1,0.9
0,1,0,268,malignant,malignant,0.1,0.9
0,1,0,633,malignant,malignant,0.0,1.0
0,1,0,175,malignant,malignant,0.0,1.0
0,1,0,260,malignant,malignant,0.0,1.0
0,1,0,218,malignant,malignant,0.2,0.8
0,1,0,312,malignant,malignant,0.1,0.9
0,1,0,328,malignant,malignant,0.2,0.8
0,1,0,224,malignant,malignant,0.0,1.0
0,1,0,112,malignant,malignant,0.3,0.7
0,1,0,302,malignant,malignant,0.0,1.0
0,1,0,55,malignant,malignant,0.0,1.0
0,1,0,151,malignant,malignant,0.2,0.8
0,1,0,166,malignant,malignant,0.0,1.0
0,1,0,20,malignant,malignant,0.3,0.7
0,1,0,205,malignant,malignant,0.0,1.0
0,1,0,103,benign,malignant,0.9,0.1
0,1,0,289,malignant,malignant,0.0,1.0
0,1,0,582,malignant,malignant,0.0,1.0
0,1,0,457,malignant,malignant,0.0,1.0
0,1,0,594,malignant,malignant,0.0,1.0