8888813
710
William Raynaut
146037
Supervised Classification
precision
8311
weka.kf.HoeffdingTree(1)
6835536
mDataExp
Modelage
study_107
182
satimage
https://www.openml.org/data/download/3619/dataset_186_satimage.arff
-1
18693436
description
https://api.openml.org/data/download/18693436/description8484075763715800407.xml
-1
18693437
predictions
https://api.openml.org/data/download/18693437/predictions5465256081941444610.arff
area_under_roc_curve
0.919234 [0.922604,0.960447,0.95979,0.848964,0.889679,0.903113]
average_cost
0
f_measure
0.8037 [0.846897,0.934831,0.893648,0.554184,0.637824,0.799014]
kappa
0.750193
kb_relative_information_score
4945.499095
mean_absolute_error
0.068278
mean_prior_absolute_error
0.270121
number_of_instances
6430 [1531,703,1356,625,707,1508]
precision
0.819374 [0.897005,0.987342,0.89497,0.484994,0.566411,0.851463]
predictive_accuracy
0.795801
prior_entropy
2.483556
recall
0.795801 [0.80209,0.887624,0.89233,0.6464,0.729844,0.752653]
relative_absolute_error
0.25277
root_mean_prior_squared_error
0.367501
root_mean_squared_error
0.255534
root_relative_squared_error
0.695329
total_cost
0
area_under_roc_curve
0.9196 [0.918901,0.985615,0.968638,0.857594,0.879033,0.890217]
area_under_roc_curve
0.932699 [0.931646,0.956943,0.967775,0.887466,0.909873,0.920388]
area_under_roc_curve
0.921704 [0.936248,0.957143,0.968424,0.850328,0.91292,0.882679]
area_under_roc_curve
0.917213 [0.915006,0.971329,0.958516,0.837575,0.877105,0.909519]
area_under_roc_curve
0.913316 [0.920375,0.968412,0.953704,0.815038,0.878718,0.901786]
area_under_roc_curve
0.91424 [0.928299,0.949913,0.945239,0.849064,0.892729,0.892525]
area_under_roc_curve
0.928147 [0.919014,0.942757,0.96953,0.904489,0.877733,0.926775]
area_under_roc_curve
0.92038 [0.937328,0.964432,0.952953,0.81664,0.919174,0.89616]
area_under_roc_curve
0.900054 [0.879919,0.921993,0.952547,0.856407,0.864695,0.89739]
area_under_roc_curve
0.925072 [0.938996,0.985915,0.961053,0.814558,0.885465,0.913685]
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
0.799269 [0.843206,0.939394,0.884892,0.565517,0.630303,0.78853]
f_measure
0.818135 [0.848276,0.933333,0.921933,0.588235,0.634146,0.821918]
f_measure
0.811833 [0.861111,0.947368,0.905797,0.554839,0.683544,0.782609]
f_measure
0.80455 [0.849315,0.955224,0.889734,0.543046,0.636364,0.80137]
f_measure
0.792709 [0.825175,0.919708,0.873134,0.557823,0.607143,0.814286]
f_measure
0.809855 [0.870748,0.947368,0.888889,0.56962,0.650307,0.787004]
f_measure
0.822726 [0.848485,0.923077,0.921933,0.619718,0.6625,0.819444]
f_measure
0.801301 [0.85034,0.941176,0.872727,0.521739,0.692308,0.787456]
f_measure
0.77136 [0.824373,0.866142,0.880866,0.516556,0.563218,0.776978]
f_measure
0.805115 [0.846416,0.971014,0.897059,0.503704,0.628205,0.808219]
kappa
0.745197
kappa
0.769391
kappa
0.760657
kappa
0.750564
kappa
0.736193
kappa
0.755289
kappa
0.774963
kappa
0.750095
kappa
0.705993
kappa
0.753822
kb_relative_information_score
493.151968
kb_relative_information_score
506.558987
kb_relative_information_score
502.271606
kb_relative_information_score
497.460639
kb_relative_information_score
485.729246
kb_relative_information_score
499.409067
kb_relative_information_score
507.945242
kb_relative_information_score
494.358274
kb_relative_information_score
466.097181
kb_relative_information_score
492.516886
mean_absolute_error
0.069805
mean_absolute_error
0.062512
mean_absolute_error
0.065687
mean_absolute_error
0.067033
mean_absolute_error
0.072706
mean_absolute_error
0.066794
mean_absolute_error
0.061792
mean_absolute_error
0.068206
mean_absolute_error
0.080239
mean_absolute_error
0.06801
mean_prior_absolute_error
0.270097
mean_prior_absolute_error
0.270097
mean_prior_absolute_error
0.270149
mean_prior_absolute_error
0.270149
mean_prior_absolute_error
0.270149
mean_prior_absolute_error
0.270076
mean_prior_absolute_error
0.27009
mean_prior_absolute_error
0.270155
mean_prior_absolute_error
0.270155
mean_prior_absolute_error
0.27009
number_of_instances
643 [153,70,136,63,70,151]
number_of_instances
643 [153,70,136,63,70,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [154,70,135,62,71,151]
number_of_instances
643 [153,70,136,62,71,151]
number_of_instances
643 [153,71,136,62,71,150]
number_of_instances
643 [153,71,136,62,71,150]
number_of_instances
643 [153,71,136,62,70,151]
precision
0.817327 [0.902985,1,0.866197,0.5,0.547368,0.859375]
precision
0.830113 [0.89781,0.969231,0.932331,0.547945,0.553191,0.851064]
precision
0.830782 [0.918519,1,0.886525,0.467391,0.62069,0.864]
precision
0.818746 [0.892086,1,0.914062,0.465909,0.590361,0.829787]
precision
0.811581 [0.887218,0.940299,0.879699,0.488095,0.525773,0.883721]
precision
0.833091 [0.914286,1,0.920635,0.46875,0.576087,0.865079]
precision
0.835321 [0.875,1,0.932331,0.55,0.595506,0.861314]
precision
0.810502 [0.886525,0.984615,0.863309,0.473684,0.635294,0.824818]
precision
0.800243 [0.912698,0.982143,0.865248,0.438202,0.475728,0.84375]
precision
0.814376 [0.885714,1,0.897059,0.465753,0.569767,0.836879]
predictive_accuracy
0.791602
predictive_accuracy
0.81182
predictive_accuracy
0.804044
predictive_accuracy
0.796267
predictive_accuracy
0.783826
predictive_accuracy
0.799378
predictive_accuracy
0.816485
predictive_accuracy
0.796267
predictive_accuracy
0.758942
predictive_accuracy
0.799378
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
prior_entropy
2.483556
recall
0.791602 [0.79085,0.885714,0.904412,0.650794,0.742857,0.728477]
recall
0.81182 [0.803922,0.9,0.911765,0.634921,0.742857,0.794702]
recall
0.804044 [0.810458,0.9,0.925926,0.68254,0.760563,0.715232]
recall
0.796267 [0.810458,0.914286,0.866667,0.650794,0.690141,0.774834]
recall
0.783826 [0.771242,0.9,0.866667,0.650794,0.71831,0.754967]
recall
0.799378 [0.831169,0.9,0.859259,0.725806,0.746479,0.721854]
recall
0.816485 [0.823529,0.857143,0.911765,0.709677,0.746479,0.781457]
recall
0.796267 [0.816993,0.901408,0.882353,0.580645,0.760563,0.753333]
recall
0.758942 [0.751634,0.774648,0.897059,0.629032,0.690141,0.72]
recall
0.799378 [0.810458,0.943662,0.897059,0.548387,0.7,0.781457]
relative_absolute_error
0.258445
relative_absolute_error
0.231442
relative_absolute_error
0.24315
relative_absolute_error
0.248132
relative_absolute_error
0.269133
relative_absolute_error
0.247317
relative_absolute_error
0.228781
relative_absolute_error
0.252471
relative_absolute_error
0.29701
relative_absolute_error
0.251806
root_mean_prior_squared_error
0.367468
root_mean_prior_squared_error
0.367468
root_mean_prior_squared_error
0.367539
root_mean_prior_squared_error
0.367539
root_mean_prior_squared_error
0.367539
root_mean_prior_squared_error
0.36744
root_mean_prior_squared_error
0.367459
root_mean_prior_squared_error
0.367547
root_mean_prior_squared_error
0.367547
root_mean_prior_squared_error
0.36746
root_mean_squared_error
0.258115
root_mean_squared_error
0.244332
root_mean_squared_error
0.250922
root_mean_squared_error
0.251881
root_mean_squared_error
0.263326
root_mean_squared_error
0.253081
root_mean_squared_error
0.242454
root_mean_squared_error
0.255626
root_mean_squared_error
0.279155
root_mean_squared_error
0.254563
root_relative_squared_error
0.702414
root_relative_squared_error
0.664906
root_relative_squared_error
0.682709
root_relative_squared_error
0.685316
root_relative_squared_error
0.716457
root_relative_squared_error
0.688767
root_relative_squared_error
0.659813
root_relative_squared_error
0.695491
root_relative_squared_error
0.759507
root_relative_squared_error
0.692765
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