8893138
710
William Raynaut
146037
Supervised Classification
precision
8299
weka.kf.AdaBoostM1-HoeffdingTree(1)
6835583
mDataExp
Modelage
study_107
182
satimage
https://www.openml.org/data/download/3619/dataset_186_satimage.arff
-1
18702042
description
https://www.openml.org/data/download/18702042/description8414396287781700032.xml
-1
18702043
predictions
https://www.openml.org/data/download/18702043/predictions7795619619252977501.arff
area_under_roc_curve
0.899843 [0.923427,0.958537,0.955482,0.783993,0.857992,0.866144]
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
3136.482974
mean_absolute_error
0.185189
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
0.685578
root_mean_prior_squared_error
0.367501
root_mean_squared_error
0.269192
root_relative_squared_error
0.732493
total_cost
0
area_under_roc_curve
0.902459 [0.919668,0.983919,0.965897,0.77983,0.853852,0.863821]
area_under_roc_curve
0.906269 [0.930892,0.95096,0.96135,0.778558,0.860484,0.885499]
area_under_roc_curve
0.90396 [0.924416,0.959599,0.964202,0.810564,0.88938,0.849405]
area_under_roc_curve
0.902693 [0.92529,0.968287,0.954367,0.783935,0.844726,0.879994]
area_under_roc_curve
0.898601 [0.911251,0.971852,0.960127,0.779639,0.845033,0.871642]
area_under_roc_curve
0.902733 [0.948025,0.952543,0.947251,0.82469,0.852716,0.84921]
area_under_roc_curve
0.91605 [0.919061,0.9591,0.9728,0.819749,0.885526,0.895823]
area_under_roc_curve
0.903288 [0.944258,0.959101,0.941923,0.742421,0.881156,0.877018]
area_under_roc_curve
0.878939 [0.88258,0.933357,0.950712,0.760396,0.834778,0.854293]
area_under_roc_curve
0.908395 [0.943504,0.988378,0.950893,0.746113,0.854986,0.888326]
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
313.321113
kb_relative_information_score
319.791627
kb_relative_information_score
320.020262
kb_relative_information_score
312.513246
kb_relative_information_score
308.264157
kb_relative_information_score
319.318059
kb_relative_information_score
315.995612
kb_relative_information_score
312.422004
kb_relative_information_score
302.956545
kb_relative_information_score
311.880348
mean_absolute_error
0.185601
mean_absolute_error
0.182671
mean_absolute_error
0.183627
mean_absolute_error
0.185695
mean_absolute_error
0.187493
mean_absolute_error
0.183584
mean_absolute_error
0.185208
mean_absolute_error
0.185395
mean_absolute_error
0.187544
mean_absolute_error
0.18507
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
0.687166
relative_absolute_error
0.676317
relative_absolute_error
0.679724
relative_absolute_error
0.687381
relative_absolute_error
0.694035
relative_absolute_error
0.679748
relative_absolute_error
0.685726
relative_absolute_error
0.686253
relative_absolute_error
0.694209
relative_absolute_error
0.685215
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
0.269675
root_mean_squared_error
0.265039
root_mean_squared_error
0.267002
root_mean_squared_error
0.269484
root_mean_squared_error
0.272567
root_mean_squared_error
0.267525
root_mean_squared_error
0.26611
root_mean_squared_error
0.268942
root_mean_squared_error
0.277117
root_mean_squared_error
0.268252
root_relative_squared_error
0.733874
root_relative_squared_error
0.721257
root_relative_squared_error
0.726459
root_relative_squared_error
0.733211
root_relative_squared_error
0.741601
root_relative_squared_error
0.728078
root_relative_squared_error
0.724188
root_relative_squared_error
0.73172
root_relative_squared_error
0.753963
root_relative_squared_error
0.730018
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