8881530
710
William Raynaut
146217
Supervised Classification
precision
7838
weka.kf.AdaBoostM1-NaiveBayes(1)
6833449
mDataExp
Modelage
study_107
40691
wine-quality-red
https://www.openml.org/data/download/4965268/wine-quality-red.arff
-1
18678813
description
https://old.openml.org/data/download/18678813/description5962873212247256425.xml
-1
18678814
predictions
https://old.openml.org/data/download/18678814/predictions6084581186205436964.arff
area_under_roc_curve
0.661701 [0.597168,0.561644,0.710406,0.608591,0.706671,0.534823]
average_cost
0
f_measure
0.543825 [0,0.086207,0.66618,0.504132,0.444934,0.064516]
kappa
0.299633
kb_relative_information_score
-151.762717
mean_absolute_error
0.270307
mean_prior_absolute_error
0.214459
number_of_instances
1599 [10,53,681,638,199,18]
precision
0.547819 [0,0.079365,0.662791,0.533217,0.396078,0.076923]
predictive_accuracy
0.542839
prior_entropy
1.717726
recall
0.542839 [0,0.09434,0.669604,0.478056,0.507538,0.055556]
relative_absolute_error
1.260417
root_mean_prior_squared_error
0.327278
root_mean_squared_error
0.363189
root_relative_squared_error
1.109727
total_cost
0
area_under_roc_curve
0.653856 [0.471698,0.448052,0.690297,0.595296,0.797143,0.474843]
area_under_roc_curve
0.64006 [0.474843,0.551407,0.671435,0.599772,0.717245,0.477848]
area_under_roc_curve
0.676237 [0.462264,0.451613,0.717231,0.662109,0.671607,0.449367]
area_under_roc_curve
0.656344 [0.468553,0.570323,0.71923,0.611003,0.637321,0.468354]
area_under_roc_curve
0.662542 [0.462264,0.54,0.71875,0.608398,0.705714,0.458861]
area_under_roc_curve
0.673732 [1,0.65871,0.711637,0.611003,0.727143,0.732595]
area_under_roc_curve
0.700285 [0.465409,0.46129,0.767263,0.654378,0.714464,0.46519]
area_under_roc_curve
0.631438 [0.977987,0.560645,0.690537,0.569824,0.643393,0.477848]
area_under_roc_curve
0.696665 [0.471698,0.674839,0.74136,0.646621,0.739643,0.468354]
area_under_roc_curve
0.641692 [0.971519,0.533224,0.685036,0.574653,0.730216,0.468354]
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
0.538317 [0,0,0.641791,0.483333,0.577778,0]
f_measure
0.520007 [0,0.142857,0.622222,0.504065,0.409091,0]
f_measure
0.557297 [0,0,0.694444,0.535714,0.382979,0]
f_measure
0.530411 [0,0.25,0.676692,0.479339,0.346154,0]
f_measure
0.54517 [0,0.133333,0.671642,0.5,0.444444,0]
f_measure
0.564133 [0,0,0.656934,0.53125,0.512821,0.666667]
f_measure
0.562119 [0,0,0.717241,0.5,0.458333,0]
f_measure
0.502407 [0,0,0.637037,0.466667,0.36,0]
f_measure
0.58962 [0,0.4,0.696296,0.540984,0.510638,0]
f_measure
0.534016 [0,0,0.642336,0.5,0.486486,0]
kappa
0.292661
kappa
0.264214
kappa
0.323407
kappa
0.279279
kappa
0.302421
kappa
0.316865
kappa
0.339044
kappa
0.239408
kappa
0.369891
kappa
0.269692
kb_relative_information_score
-16.039514
kb_relative_information_score
-14.447596
kb_relative_information_score
-15.682214
kb_relative_information_score
-15.022672
kb_relative_information_score
-14.515448
kb_relative_information_score
-13.223943
kb_relative_information_score
-15.109604
kb_relative_information_score
-16.359538
kb_relative_information_score
-15.083309
kb_relative_information_score
-16.278878
mean_absolute_error
0.271139
mean_absolute_error
0.270881
mean_absolute_error
0.270627
mean_absolute_error
0.269856
mean_absolute_error
0.269395
mean_absolute_error
0.267439
mean_absolute_error
0.270222
mean_absolute_error
0.271932
mean_absolute_error
0.270886
mean_absolute_error
0.270698
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
0.549037 [0,0,0.651515,0.517857,0.52,0]
precision
0.524025 [0,0.125,0.626866,0.525424,0.36,0]
precision
0.571272 [0,0,0.657895,0.625,0.333333,0]
precision
0.543312 [0,0.333333,0.692308,0.508772,0.28125,0]
precision
0.557183 [0,0.1,0.681818,0.535714,0.4,0]
precision
0.567963 [0,0,0.652174,0.53125,0.526316,1]
precision
0.559197 [0,0,0.675325,0.557692,0.392857,0]
precision
0.510261 [0,0,0.641791,0.5,0.3,0]
precision
0.595391 [0,0.4,0.712121,0.559322,0.444444,0]
precision
0.534377 [0,0,0.637681,0.492308,0.529412,0]
predictive_accuracy
0.53125
predictive_accuracy
0.51875
predictive_accuracy
0.55625
predictive_accuracy
0.525
predictive_accuracy
0.5375
predictive_accuracy
0.5625
predictive_accuracy
0.575
predictive_accuracy
0.5
predictive_accuracy
0.5875
predictive_accuracy
0.534591
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
0.53125 [0,0,0.632353,0.453125,0.65,0]
recall
0.51875 [0,0.166667,0.617647,0.484375,0.473684,0]
recall
0.55625 [0,0,0.735294,0.46875,0.45,0]
recall
0.525 [0,0.2,0.661765,0.453125,0.45,0]
recall
0.5375 [0,0.2,0.661765,0.46875,0.5,0]
recall
0.5625 [0,0,0.661765,0.53125,0.5,0.5]
recall
0.575 [0,0,0.764706,0.453125,0.55,0]
recall
0.5 [0,0,0.632353,0.4375,0.45,0]
recall
0.5875 [0,0.4,0.681159,0.52381,0.6,0]
recall
0.534591 [0,0,0.647059,0.507937,0.45,0]
relative_absolute_error
1.264641
relative_absolute_error
1.262051
relative_absolute_error
1.261983
relative_absolute_error
1.258386
relative_absolute_error
1.256241
relative_absolute_error
1.247119
relative_absolute_error
1.260097
relative_absolute_error
1.26807
relative_absolute_error
1.26352
relative_absolute_error
1.262074
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
0.364226
root_mean_squared_error
0.36396
root_mean_squared_error
0.363526
root_mean_squared_error
0.362694
root_mean_squared_error
0.36212
root_mean_squared_error
0.359669
root_mean_squared_error
0.362952
root_mean_squared_error
0.365268
root_mean_squared_error
0.363766
root_mean_squared_error
0.363687
root_relative_squared_error
1.113197
root_relative_squared_error
1.111166
root_relative_squared_error
1.110822
root_relative_squared_error
1.108282
root_relative_squared_error
1.106525
root_relative_squared_error
1.099038
root_relative_squared_error
1.109069
root_relative_squared_error
1.116146
root_relative_squared_error
1.111846
root_relative_squared_error
1.1111
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