8884012
710
William Raynaut
146217
Supervised Classification
precision
7836
weka.kf.AdaBoostM1-J48(1)
6833701
mDataExp
Modelage
study_107
40691
wine-quality-red
https://www.openml.org/data/download/4965268/wine-quality-red.arff
-1
18683765
description
https://api.openml.org/data/download/18683765/description6554962353851061762.xml
-1
18683766
predictions
https://api.openml.org/data/download/18683766/predictions4468262206046904530.arff
area_under_roc_curve
0.822027 [0.781152,0.673283,0.857586,0.787278,0.864257,0.702193]
average_cost
0
f_measure
0.656483 [0,0.103896,0.751783,0.646875,0.572864,0.307692]
kappa
0.469355
kb_relative_information_score
748.32466
mean_absolute_error
0.112288
mean_prior_absolute_error
0.214459
number_of_instances
1599 [10,53,681,638,199,18]
precision
0.651042 [0,0.166667,0.730929,0.64486,0.572864,0.5]
predictive_accuracy
0.66479
prior_entropy
1.717726
recall
0.66479 [0,0.075472,0.773862,0.648903,0.572864,0.222222]
relative_absolute_error
0.523586
root_mean_prior_squared_error
0.327278
root_mean_squared_error
0.31712
root_relative_squared_error
0.968963
total_cost
0
area_under_roc_curve
0.826727 [1,0.687229,0.841752,0.806152,0.877321,0.773585]
area_under_roc_curve
0.83552 [0.943396,0.794372,0.87492,0.808512,0.814296,0.631329]
area_under_roc_curve
0.833925 [0.610063,0.6,0.852861,0.806966,0.930714,0.781646]
area_under_roc_curve
0.802204 [0.654088,0.712258,0.855818,0.772786,0.798214,0.259494]
area_under_roc_curve
0.859278 [0.641509,0.570323,0.889706,0.834147,0.942321,0.629747]
area_under_roc_curve
0.823725 [0.742138,0.894839,0.856857,0.79069,0.800179,0.852848]
area_under_roc_curve
0.793175 [0.754717,0.478065,0.824888,0.739258,0.921071,0.968354]
area_under_roc_curve
0.767353 [0.783019,0.592903,0.830403,0.7146,0.77,0.713608]
area_under_roc_curve
0.873078 [0.874214,0.69871,0.906195,0.855506,0.850714,0.943038]
area_under_roc_curve
0.817733 [0.825949,0.654684,0.845346,0.776786,0.928777,0.268987]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.667273 [0,0,0.742857,0.676692,0.647059,0]
f_measure
0.671784 [0,0,0.8,0.661157,0.514286,0.5]
f_measure
0.673368 [0,0.25,0.771429,0.650794,0.619048,0]
f_measure
0.630384 [0,0,0.727273,0.650794,0.487805,0]
f_measure
0.699554 [0,0,0.788732,0.672,0.697674,0.666667]
f_measure
0.604738 [0,0.25,0.7,0.601504,0.470588,0]
f_measure
0.641303 [0,0,0.75,0.617886,0.553191,0.5]
f_measure
0.582961 [0,0,0.69697,0.573643,0.458333,0]
f_measure
0.714289 [0,0,0.817518,0.725926,0.540541,0.666667]
f_measure
0.673124 [0,0.5,0.71831,0.635659,0.756757,0]
kappa
0.479447
kappa
0.501713
kappa
0.498741
kappa
0.433611
kappa
0.545595
kappa
0.379651
kappa
0.452055
kappa
0.360504
kappa
0.560549
kappa
0.484783
kb_relative_information_score
74.519021
kb_relative_information_score
77.470216
kb_relative_information_score
79.061398
kb_relative_information_score
65.117955
kb_relative_information_score
87.291204
kb_relative_information_score
65.836679
kb_relative_information_score
74.27857
kb_relative_information_score
59.456731
kb_relative_information_score
86.08179
kb_relative_information_score
79.211096
mean_absolute_error
0.109202
mean_absolute_error
0.106326
mean_absolute_error
0.105936
mean_absolute_error
0.124091
mean_absolute_error
0.096487
mean_absolute_error
0.124165
mean_absolute_error
0.118672
mean_absolute_error
0.135839
mean_absolute_error
0.092948
mean_absolute_error
0.10919
mean_prior_absolute_error
0.2144
mean_prior_absolute_error
0.214635
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.214446
mean_prior_absolute_error
0.21439
mean_prior_absolute_error
0.214487
number_of_instances
160 [1,6,68,64,20,1]
number_of_instances
160 [1,6,68,64,19,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,68,64,20,2]
number_of_instances
160 [1,5,69,63,20,2]
number_of_instances
159 [1,6,68,63,20,1]
precision
0.666028 [0,0,0.722222,0.652174,0.785714,0]
precision
0.664724 [0,0,0.731707,0.701754,0.5625,0.5]
precision
0.667546 [0,0.333333,0.75,0.66129,0.590909,0]
precision
0.618707 [0,0,0.693333,0.66129,0.47619,0]
precision
0.691053 [0,0,0.756757,0.688525,0.652174,1]
precision
0.602965 [0,0.333333,0.680556,0.57971,0.571429,0]
precision
0.642812 [0,0,0.75,0.644068,0.481481,0.5]
precision
0.582268 [0,0,0.71875,0.569231,0.392857,0]
precision
0.709145 [0,0,0.823529,0.680556,0.588235,1]
precision
0.682213 [0,1,0.689189,0.621212,0.823529,0]
predictive_accuracy
0.675
predictive_accuracy
0.6875
predictive_accuracy
0.68125
predictive_accuracy
0.64375
predictive_accuracy
0.7125
predictive_accuracy
0.6125
predictive_accuracy
0.64375
predictive_accuracy
0.5875
predictive_accuracy
0.725
predictive_accuracy
0.679245
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
prior_entropy
1.717726
recall
0.675 [0,0,0.764706,0.703125,0.55,0]
recall
0.6875 [0,0,0.882353,0.625,0.473684,0.5]
recall
0.68125 [0,0.2,0.794118,0.640625,0.65,0]
recall
0.64375 [0,0,0.764706,0.640625,0.5,0]
recall
0.7125 [0,0,0.823529,0.65625,0.75,0.5]
recall
0.6125 [0,0.2,0.720588,0.625,0.4,0]
recall
0.64375 [0,0,0.75,0.59375,0.65,0.5]
recall
0.5875 [0,0,0.676471,0.578125,0.55,0]
recall
0.725 [0,0,0.811594,0.777778,0.5,0.5]
recall
0.679245 [0,0.333333,0.75,0.650794,0.7,0]
relative_absolute_error
0.509337
relative_absolute_error
0.495382
relative_absolute_error
0.494
relative_absolute_error
0.578659
relative_absolute_error
0.449936
relative_absolute_error
0.579003
relative_absolute_error
0.553391
relative_absolute_error
0.633444
relative_absolute_error
0.433545
relative_absolute_error
0.509074
root_mean_prior_squared_error
0.327189
root_mean_prior_squared_error
0.327548
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327258
root_mean_prior_squared_error
0.327173
root_mean_prior_squared_error
0.327321
root_mean_squared_error
0.314169
root_mean_squared_error
0.305812
root_mean_squared_error
0.310037
root_mean_squared_error
0.33727
root_mean_squared_error
0.289441
root_mean_squared_error
0.334467
root_mean_squared_error
0.327257
root_mean_squared_error
0.352125
root_mean_squared_error
0.283307
root_mean_squared_error
0.310699
root_relative_squared_error
0.960207
root_relative_squared_error
0.933639
root_relative_squared_error
0.947377
root_relative_squared_error
1.030592
root_relative_squared_error
0.884441
root_relative_squared_error
1.022028
root_relative_squared_error
0.999995
root_relative_squared_error
1.075986
root_relative_squared_error
0.865925
root_relative_squared_error
0.949216
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0