1665333
1
Jan van Rijn
3567
Supervised Classification
2255
weka.HyperPipes(2)
2891
weka.classifiers.misc.HyperPipes
weka
weka_3.7.13
478
collins
https://www.openml.org/data/download/52590/collins.arff
-1
4227906
description
https://api.openml.org/data/download/4227906/weka_generated_run7111606852761182262.xml
-1
4227909
model_readable
https://api.openml.org/data/download/4227909/WekaModel_weka.classifiers.misc.HyperPipes2224491324963388813.model
-1
4227908
model_serialized
https://api.openml.org/data/download/4227908/WekaSerialized_weka.classifiers.misc.HyperPipes173121565041716799.model
-1
4227907
predictions
https://api.openml.org/data/download/4227907/weka_generated_predictions1285054681971758354.arff
area_under_roc_curve
0.866572 [0.893914,0.903062,0.909207,0.85221,0.892122,0.724212,0.735906,0.93539,0.896071,0.928948,0.931854,0.918522,0.970239,0.934841,0.860602]
average_cost
0
f_measure
0.651152 [0.731183,0.695652,0.56,0.344828,0.568627,0.564885,0.748299,0.763636,0.871795,0.590164,0.465116,0,0.577778,0.615385,0]
kappa
0.62149
kb_relative_information_score
43.554888
mean_absolute_error
0.121898
mean_prior_absolute_error
0.121173
number_of_instances
500 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9]
precision
0.678385 [0.693878,0.842105,0.875,0.416667,0.439394,0.445783,0.763889,0.84,0.894737,0.5625,0.526316,0,0.8125,0.695652,0]
predictive_accuracy
0.658
prior_entropy
3.664225
recall
0.658 [0.772727,0.592593,0.411765,0.294118,0.805556,0.770833,0.733333,0.7,0.85,0.62069,0.416667,0,0.448276,0.551724,0]
relative_absolute_error
1.005977
root_mean_prior_squared_error
0.246047
root_mean_squared_error
0.244797
root_relative_squared_error
0.994922
total_cost
0
area_under_roc_curve
0.860242 [0.956522,0.787234,1,0.96875,0.951087,0.72,0.629568,0.93617,0.85119,0.985816,0.93617,1,0.985816,0.911348,0.0]
area_under_roc_curve
0.852546 [0.785326,0.978723,0.989583,0.96875,0.872283,0.617778,0.609635,0.978723,0.934524,0.985816,0.979167,0.938776,0.985816,0.802083,0.959184]
area_under_roc_curve
0.881248 [0.92663,0.989583,0.989583,0.744792,0.88587,0.782222,0.780731,0.93617,0.888393,0.879433,0.895833,0.979592,0.978723,0.93617,0.918367]
area_under_roc_curve
0.854712 [0.848889,0.989583,0.979167,0.802083,0.86413,0.513333,0.817276,0.992908,0.849702,0.964539,0.979167,0.0,0.964539,0.914894,0.938776]
area_under_roc_curve
0.890469 [0.955556,0.958333,1,0.90625,0.839674,0.78,0.727575,1,0.904762,0.978723,0.90625,0.0,0.964539,0.989362,0.816327]
area_under_roc_curve
0.858503 [0.888889,0.971631,0.666667,0.632653,0.918478,0.666667,0.803571,1,0.873512,0.865248,0.927083,0.0,1,0.929078,0.938776]
area_under_roc_curve
0.8704 [0.795556,0.815603,0.8125,0.591837,0.971631,0.828889,0.766369,0.858156,0.949405,0.943262,0.875,0.0,1,1,0.938776]
area_under_roc_curve
0.911223 [0.940217,0.93617,0.989583,0.938776,0.950355,0.836957,0.875,0.836879,0.901786,0.971631,0.975177,0.979592,0.925532,0.93617,0.744898]
area_under_roc_curve
0.869793 [0.945652,0.978723,1,0.854167,0.914894,0.807065,0.672619,0.985816,0.839286,0.929078,0.950355,0.857143,0.929078,0.992908,0.77551]
area_under_roc_curve
0.867323 [0.956522,0.978723,0.979592,0.9375,0.826241,0.731111,0.720238,0.829787,0.970238,0.739583,0.87234,1,0.957447,0.921986,0.867347]
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
0.601294 [0.75,0,1,1,0.615385,0.352941,0.769231,0.8,0.769231,0.666667,0.5,0,0.8,0,0]
f_measure
0.576771 [0.666667,1,1,0,0.615385,0.47619,0.4,0.8,0.941176,0.4,0,0,0.8,0,0]
f_measure
0.600319 [0.888889,0.5,0.666667,0,0.727273,0.8,0.769231,0.5,0.75,0.444444,0.5,0,0,0.666667,0]
f_measure
0.735812 [0.888889,1,0.666667,0,0.666667,0.769231,0.666667,1,1,0.666667,0.666667,0,0.5,0.666667,0]
f_measure
0.718889 [0.666667,1,0,0.666667,0.444444,0.8,0.8,1,0.875,0.666667,1,0,0.8,0.5,0]
f_measure
0.591762 [0.6,0.4,0,0,0.666667,0.571429,0.75,0.75,0.714286,0.5,0,0,1,0.8,0]
f_measure
0.641373 [0.5,0.5,0.666667,0,0.363636,0.615385,0.8,0.5,0.941176,0.8,0.333333,0,0.5,0.857143,0]
f_measure
0.684826 [0.666667,0.5,0,0,0.571429,0.75,0.941176,0.571429,0.933333,0.8,0.666667,0,0.75,0.666667,0]
f_measure
0.641762 [0.8,0.8,0.666667,0,0.75,0.4,0.8,1,0.75,0.666667,0.666667,0,0,0.857143,0]
f_measure
0.539206 [0.888889,0.857143,0,1,0.333333,0.4,0.666667,0.5,1,0,0,0,0,0.333333,0]
kappa
0.581129
kappa
0.578153
kappa
0.58205
kappa
0.731183
kappa
0.711624
kappa
0.57759
kappa
0.600887
kappa
0.689991
kappa
0.647266
kappa
0.514991
kb_relative_information_score
4.460063
kb_relative_information_score
4.833804
kb_relative_information_score
4.696237
kb_relative_information_score
4.195776
kb_relative_information_score
4.4582
kb_relative_information_score
3.612887
kb_relative_information_score
3.741646
kb_relative_information_score
4.609591
kb_relative_information_score
4.612899
kb_relative_information_score
4.333785
mean_absolute_error
0.121771
mean_absolute_error
0.121948
mean_absolute_error
0.121922
mean_absolute_error
0.121766
mean_absolute_error
0.121613
mean_absolute_error
0.121945
mean_absolute_error
0.121894
mean_absolute_error
0.122007
mean_absolute_error
0.122028
mean_absolute_error
0.122082
mean_prior_absolute_error
0.121238
mean_prior_absolute_error
0.121377
mean_prior_absolute_error
0.121367
mean_prior_absolute_error
0.12117
mean_prior_absolute_error
0.12117
mean_prior_absolute_error
0.12088
mean_prior_absolute_error
0.120917
mean_prior_absolute_error
0.121238
mean_prior_absolute_error
0.121238
mean_prior_absolute_error
0.121139
number_of_instances
50 [4,3,1,2,4,5,7,3,8,3,3,1,3,3,0]
number_of_instances
50 [4,3,2,2,4,5,7,3,8,3,2,1,3,2,1]
number_of_instances
50 [4,2,2,2,4,5,7,3,8,3,2,1,3,3,1]
number_of_instances
50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1]
number_of_instances
50 [5,2,2,2,4,5,7,3,8,3,2,0,3,3,1]
number_of_instances
50 [5,3,2,1,4,5,8,3,8,3,2,0,2,3,1]
number_of_instances
50 [5,3,2,1,3,5,8,3,8,3,2,0,3,3,1]
number_of_instances
50 [4,3,2,1,3,4,8,3,8,3,3,1,3,3,1]
number_of_instances
50 [4,3,1,2,3,4,8,3,8,3,3,1,3,3,1]
number_of_instances
50 [4,3,1,2,3,5,8,3,8,2,3,1,3,3,1]
precision
0.667222 [0.75,0,1,1,0.444444,0.25,0.833333,1,1,0.5,1,0,1,0,0]
precision
0.632361 [1,1,1,0,0.444444,0.3125,0.666667,1,0.888889,0.5,0,0,1,0,0]
precision
0.626381 [0.8,0.5,1,0,0.571429,0.8,0.833333,1,0.75,0.333333,0.5,0,0,0.666667,0]
precision
0.7925 [1,1,1,0,1,0.625,0.5,1,1,0.666667,1,0,1,0.666667,0]
precision
0.744143 [0.571429,1,0,1,0.4,0.8,0.75,1,0.875,0.5,1,0,1,1,0]
precision
0.623778 [0.6,0.5,0,0,0.5,0.444444,0.75,0.6,0.833333,1,0,0,1,1,0]
precision
0.746032 [0.666667,1,1,0,0.25,0.5,0.857143,1,0.888889,1,0.25,0,1,0.75,0]
precision
0.698222 [0.5,1,0,0,0.5,0.75,0.888889,0.5,1,1,0.666667,0,0.6,0.666667,0]
precision
0.628143 [0.666667,1,0.5,0,0.6,0.333333,0.857143,1,0.75,0.666667,0.666667,0,0,0.75,0]
precision
0.592333 [0.8,0.75,0,1,0.222222,0.3,1,1,1,0,0,0,0,0.333333,0]
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.62
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.62
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.68
predictive_accuracy
0.56
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
prior_entropy
3.664225
recall
0.62 [0.75,0,1,1,1,0.6,0.714286,0.666667,0.625,1,0.333333,0,0.666667,0,0]
recall
0.62 [0.5,1,1,0,1,1,0.285714,0.666667,1,0.333333,0,0,0.666667,0,0]
recall
0.62 [1,0.5,0.5,0,1,0.8,0.714286,0.333333,0.75,0.666667,0.5,0,0,0.666667,0]
recall
0.76 [0.8,1,0.5,0,0.5,1,1,1,1,0.666667,0.5,0,0.333333,0.666667,0]
recall
0.74 [0.8,1,0,0.5,0.5,0.8,0.857143,1,0.875,1,1,0,0.666667,0.333333,0]
recall
0.62 [0.6,0.333333,0,0,1,0.8,0.75,1,0.625,0.333333,0,0,1,0.666667,0]
recall
0.64 [0.4,0.333333,0.5,0,0.666667,0.8,0.75,0.333333,1,0.666667,0.5,0,0.333333,1,0]
recall
0.72 [1,0.333333,0,0,0.666667,0.75,1,0.666667,0.875,0.666667,0.666667,0,1,0.666667,0]
recall
0.68 [1,0.666667,1,0,1,0.5,0.75,1,0.75,0.666667,0.666667,0,0,1,0]
recall
0.56 [1,1,0,1,0.666667,0.6,0.5,0.333333,1,0,0,0,0,0.333333,0]
relative_absolute_error
1.004402
relative_absolute_error
1.004703
relative_absolute_error
1.004577
relative_absolute_error
1.004915
relative_absolute_error
1.003651
relative_absolute_error
1.00881
relative_absolute_error
1.008087
relative_absolute_error
1.006349
relative_absolute_error
1.006516
relative_absolute_error
1.00778
root_mean_prior_squared_error
0.246177
root_mean_prior_squared_error
0.246461
root_mean_prior_squared_error
0.24644
root_mean_prior_squared_error
0.24604
root_mean_prior_squared_error
0.24604
root_mean_prior_squared_error
0.245451
root_mean_prior_squared_error
0.245524
root_mean_prior_squared_error
0.246177
root_mean_prior_squared_error
0.246177
root_mean_prior_squared_error
0.245977
root_mean_squared_error
0.244539
root_mean_squared_error
0.244918
root_mean_squared_error
0.244863
root_mean_squared_error
0.244581
root_mean_squared_error
0.244216
root_mean_squared_error
0.244886
root_mean_squared_error
0.244778
root_mean_squared_error
0.244962
root_mean_squared_error
0.245094
root_mean_squared_error
0.245135
root_relative_squared_error
0.993346
root_relative_squared_error
0.993741
root_relative_squared_error
0.993601
root_relative_squared_error
0.994067
root_relative_squared_error
0.992585
root_relative_squared_error
0.997701
root_relative_squared_error
0.996961
root_relative_squared_error
0.995062
root_relative_squared_error
0.995601
root_relative_squared_error
0.996577
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