8864427
710
William Raynaut
14967
Supervised Classification
7789
weka.kf.Bagging-NaiveBayes(1)
6833238
mDataExp
Modelage
study_107
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
18644705
description
https://api.openml.org/data/download/18644705/description7403100892697601056.xml
-1
18644706
predictions
https://api.openml.org/data/download/18644706/predictions6193514622007029172.arff
area_under_roc_curve
0.971962 [0.965997,0.964016,0.973618,0.981233,0.981875,0.958018]
average_cost
0
f_measure
0.839656 [0.905629,0.953383,0.843188,0.832396,0.79677,0.629002]
kappa
0.804868
kb_relative_information_score
2081.792766
mean_absolute_error
0.089591
mean_prior_absolute_error
0.27288
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.855542 [0.865506,0.978395,0.748858,0.978836,0.899696,0.649805]
predictive_accuracy
0.841559
prior_entropy
2.520663
recall
0.841559 [0.949653,0.929619,0.964706,0.72407,0.714976,0.609489]
relative_absolute_error
0.328315
root_mean_prior_squared_error
0.369371
root_mean_squared_error
0.203754
root_relative_squared_error
0.551625
total_cost
0
area_under_roc_curve
0.975899 [0.98338,0.941535,0.986473,0.977395,0.991734,0.950539]
area_under_roc_curve
0.969794 [0.920239,1,0.983109,0.997603,0.960965,0.965703]
area_under_roc_curve
0.97335 [0.983768,0.970827,0.962819,0.988184,0.96765,0.961735]
area_under_roc_curve
0.979005 [1,0.932568,0.980057,0.994777,0.974181,0.967687]
area_under_roc_curve
0.975556 [0.96808,0.99988,0.957339,0.994096,0.978059,0.967355]
area_under_roc_curve
0.957495 [0.940276,0.97656,0.95068,0.962326,0.985203,0.935734]
area_under_roc_curve
0.972806 [0.962858,0.918367,0.996515,0.987358,0.995479,0.939888]
area_under_roc_curve
0.968133 [0.997392,0.945198,0.975467,0.931717,0.981716,0.964433]
area_under_roc_curve
0.968172 [0.948475,0.955822,0.958949,0.996388,0.993269,0.956202]
area_under_roc_curve
0.979647 [0.957326,0.997479,0.986549,0.97979,0.990255,0.970165]
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
0.843924 [0.910569,0.939394,0.864516,0.827586,0.810811,0.618182]
f_measure
0.875613 [0.832,1,0.942857,0.866667,0.860759,0.689655]
f_measure
0.871464 [0.957265,0.969697,0.83871,0.893617,0.826667,0.679245]
f_measure
0.852183 [0.97479,0.920635,0.814815,0.893617,0.75,0.68]
f_measure
0.821991 [0.956522,0.969697,0.760234,0.835165,0.724638,0.625]
f_measure
0.778957 [0.864,0.927536,0.805031,0.705882,0.75,0.52]
f_measure
0.849167 [0.885246,0.953846,0.887417,0.840909,0.842105,0.571429]
f_measure
0.814811 [0.949153,0.923077,0.802469,0.756098,0.746667,0.642857]
f_measure
0.836571 [0.861789,0.955224,0.855263,0.827586,0.871795,0.54902]
f_measure
0.85354 [0.876033,0.971429,0.885906,0.857143,0.767123,0.703704]
kappa
0.810933
kappa
0.847054
kappa
0.841726
kappa
0.818939
kappa
0.778688
kappa
0.735475
kappa
0.814998
kappa
0.774744
kappa
0.801499
kappa
0.823947
kb_relative_information_score
214.002108
kb_relative_information_score
212.199151
kb_relative_information_score
215.592758
kb_relative_information_score
207.813213
kb_relative_information_score
198.936313
kb_relative_information_score
195.211043
kb_relative_information_score
210.344152
kb_relative_information_score
207.368898
kb_relative_information_score
207.479848
kb_relative_information_score
212.845282
mean_absolute_error
0.081835
mean_absolute_error
0.088428
mean_absolute_error
0.081947
mean_absolute_error
0.088441
mean_absolute_error
0.100154
mean_absolute_error
0.103703
mean_absolute_error
0.085884
mean_absolute_error
0.090501
mean_absolute_error
0.090034
mean_absolute_error
0.084954
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272804
mean_prior_absolute_error
0.272877
mean_prior_absolute_error
0.272875
mean_prior_absolute_error
0.272875
mean_prior_absolute_error
0.272875
mean_prior_absolute_error
0.272875
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.861346 [0.861538,0.96875,0.770115,1,0.909091,0.62963]
precision
0.88464 [0.776119,1,0.916667,1,0.894737,0.666667]
precision
0.882899 [0.949153,1,0.747126,0.976744,0.911765,0.72]
precision
0.871615 [0.95082,1,0.702128,0.976744,0.870968,0.772727]
precision
0.855132 [0.964912,1,0.631068,0.974359,0.892857,0.714286]
precision
0.798151 [0.80597,0.941176,0.703297,0.882353,0.870968,0.565217]
precision
0.866206 [0.830769,1,0.807229,1,0.941176,0.551724]
precision
0.844614 [0.918033,0.967742,0.691489,1,0.848485,0.62069]
precision
0.852251 [0.80303,0.969697,0.77381,1,0.944444,0.583333]
precision
0.865169 [0.828125,0.944444,0.814815,0.975,0.903226,0.703704]
predictive_accuracy
0.846429
predictive_accuracy
0.875
predictive_accuracy
0.871429
predictive_accuracy
0.853571
predictive_accuracy
0.821429
predictive_accuracy
0.785714
predictive_accuracy
0.849462
predictive_accuracy
0.817204
predictive_accuracy
0.83871
predictive_accuracy
0.856631
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
recall
0.846429 [0.965517,0.911765,0.985294,0.705882,0.731707,0.607143]
recall
0.875 [0.896552,1,0.970588,0.764706,0.829268,0.714286]
recall
0.871429 [0.965517,0.941176,0.955882,0.823529,0.756098,0.642857]
recall
0.853571 [1,0.852941,0.970588,0.823529,0.658537,0.607143]
recall
0.821429 [0.948276,0.941176,0.955882,0.730769,0.609756,0.555556]
recall
0.785714 [0.931034,0.914286,0.941176,0.588235,0.658537,0.481481]
recall
0.849462 [0.947368,0.911765,0.985294,0.72549,0.761905,0.592593]
recall
0.817204 [0.982456,0.882353,0.955882,0.607843,0.666667,0.666667]
recall
0.83871 [0.929825,0.941176,0.955882,0.705882,0.809524,0.518519]
recall
0.856631 [0.929825,1,0.970588,0.764706,0.666667,0.703704]
relative_absolute_error
0.299865
relative_absolute_error
0.324025
relative_absolute_error
0.300275
relative_absolute_error
0.324074
relative_absolute_error
0.367129
relative_absolute_error
0.380037
relative_absolute_error
0.314738
relative_absolute_error
0.331657
relative_absolute_error
0.329947
relative_absolute_error
0.311331
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369268
root_mean_prior_squared_error
0.369366
root_mean_prior_squared_error
0.369364
root_mean_prior_squared_error
0.369364
root_mean_prior_squared_error
0.369364
root_mean_prior_squared_error
0.369364
root_mean_squared_error
0.193766
root_mean_squared_error
0.199377
root_mean_squared_error
0.190367
root_mean_squared_error
0.201871
root_mean_squared_error
0.218314
root_mean_squared_error
0.22624
root_mean_squared_error
0.200005
root_mean_squared_error
0.203347
root_mean_squared_error
0.206514
root_mean_squared_error
0.194961
root_relative_squared_error
0.524536
root_relative_squared_error
0.539724
root_relative_squared_error
0.515334
root_relative_squared_error
0.546476
root_relative_squared_error
0.591207
root_relative_squared_error
0.612508
root_relative_squared_error
0.541486
root_relative_squared_error
0.550534
root_relative_squared_error
0.559108
root_relative_squared_error
0.52783
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