1665310
1
Jan van Rijn
3022
Supervised Classification
2255
weka.HyperPipes(2)
2891
weka.classifiers.misc.HyperPipes
weka
weka_3.7.13
307
vowel
https://www.openml.org/data/download/52210/phpd8EoD9
-1
4227814
description
https://api.openml.org/data/download/4227814/weka_generated_run2453693610868563780.xml
-1
4227817
model_readable
https://api.openml.org/data/download/4227817/WekaModel_weka.classifiers.misc.HyperPipes6380760886494183069.model
-1
4227816
model_serialized
https://api.openml.org/data/download/4227816/WekaSerialized_weka.classifiers.misc.HyperPipes7677932134400774014.model
-1
4227815
predictions
https://api.openml.org/data/download/4227815/weka_generated_predictions2677017594807156464.arff
area_under_roc_curve
0.8963 [0.98313,0.904438,0.909506,0.949265,0.883043,0.814642,0.89392,0.973099,0.803302,0.912327,0.83263]
average_cost
0
f_measure
0.323223 [0.400901,0.181818,0.09009,0.330579,0.541985,0.251969,0.449198,0.607735,0.122807,0.556391,0.021978]
kappa
0.302222
kb_relative_information_score
50.290394
mean_absolute_error
0.163105
mean_prior_absolute_error
0.165289
number_of_instances
990 [90,90,90,90,90,90,90,90,90,90,90]
precision
0.484461 [0.251412,0.159664,0.238095,0.645161,0.412791,0.432432,0.43299,0.604396,0.291667,0.860465,1]
predictive_accuracy
0.365657
prior_entropy
3.459432
recall
0.365657 [0.988889,0.211111,0.055556,0.222222,0.788889,0.177778,0.466667,0.611111,0.077778,0.411111,0.011111]
relative_absolute_error
0.986784
root_mean_prior_squared_error
0.28748
root_mean_squared_error
0.283818
root_relative_squared_error
0.987263
total_cost
0
area_under_roc_curve
0.909708 [0.962346,0.912963,0.90679,0.917284,0.935802,0.829012,0.937654,0.933951,0.945062,0.87037,0.855556]
area_under_roc_curve
0.862738 [0.977778,0.877778,0.940741,0.967284,0.824691,0.827778,0.782716,0.958025,0.735802,0.820988,0.776543]
area_under_roc_curve
0.91532 [0.988889,0.945062,0.87716,0.966667,0.864198,0.883333,0.935185,0.971605,0.829012,0.882716,0.924691]
area_under_roc_curve
0.90174 [0.987654,0.888272,0.882716,0.960494,0.890741,0.799383,0.930247,0.992593,0.767284,0.989506,0.830247]
area_under_roc_curve
0.903311 [0.996296,0.945062,0.948148,0.97963,0.930864,0.828395,0.890123,0.981481,0.740741,0.896914,0.798765]
area_under_roc_curve
0.911279 [0.981481,0.953704,0.887654,0.933951,0.816049,0.811111,0.922222,0.991358,0.869753,0.966667,0.890123]
area_under_roc_curve
0.89826 [0.983333,0.891975,0.94321,0.945679,0.880864,0.819753,0.923457,0.967284,0.758642,0.933951,0.832716]
area_under_roc_curve
0.892929 [0.978395,0.869753,0.874074,0.924074,0.830247,0.874074,0.898765,0.977778,0.808642,0.954321,0.832099]
area_under_roc_curve
0.901852 [0.988272,0.917284,0.940741,0.955556,0.954938,0.764815,0.88642,0.974691,0.782099,0.935185,0.82037]
area_under_roc_curve
0.867901 [0.998148,0.838272,0.887037,0.962963,0.896296,0.738272,0.846914,0.973457,0.787654,0.850617,0.767284]
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
0.361716 [0.4,0.086957,0.166667,0.2,0.666667,0.2,0.636364,0.555556,0.533333,0.533333,0]
f_measure
0.268828 [0.375,0.272727,0,0.461538,0.48,0.153846,0.428571,0.631579,0.153846,0,0]
f_measure
0.27167 [0.409091,0.190476,0,0.4,0.444444,0.428571,0.315789,0.6,0,0.2,0]
f_measure
0.335647 [0.486486,0.181818,0.285714,0,0.571429,0.285714,0.5,0.666667,0,0.714286,0]
f_measure
0.277069 [0.382979,0.1,0,0.5,0.533333,0.181818,0.421053,0.428571,0,0.5,0]
f_measure
0.366054 [0.428571,0.5,0,0.461538,0.451613,0.166667,0.470588,0.666667,0.166667,0.714286,0]
f_measure
0.369272 [0.428571,0.166667,0,0.307692,0.666667,0.285714,0.555556,0.736842,0,0.714286,0.2]
f_measure
0.329009 [0.36,0.285714,0.181818,0,0.4,0.625,0.352941,0.631579,0.166667,0.615385,0]
f_measure
0.285133 [0.382979,0,0,0.5,0.571429,0,0.4,0.666667,0,0.615385,0]
f_measure
0.269101 [0.382979,0,0.181818,0.307692,0.64,0,0.380952,0.4,0,0.666667,0]
kappa
0.344444
kappa
0.255556
kappa
0.266667
kappa
0.333333
kappa
0.266667
kappa
0.355556
kappa
0.355556
kappa
0.3
kappa
0.288889
kappa
0.255556
kb_relative_information_score
5.091138
kb_relative_information_score
4.628612
kb_relative_information_score
5.164804
kb_relative_information_score
5.052391
kb_relative_information_score
5.162524
kb_relative_information_score
5.365826
kb_relative_information_score
5.026779
kb_relative_information_score
4.914351
kb_relative_information_score
5.439002
kb_relative_information_score
4.444966
mean_absolute_error
0.163081
mean_absolute_error
0.163293
mean_absolute_error
0.163038
mean_absolute_error
0.163093
mean_absolute_error
0.163035
mean_absolute_error
0.162941
mean_absolute_error
0.163127
mean_absolute_error
0.163168
mean_absolute_error
0.162901
mean_absolute_error
0.16337
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
mean_prior_absolute_error
0.165289
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
precision
0.511228 [0.258065,0.071429,0.333333,1,0.533333,1,0.538462,0.555556,0.666667,0.666667,0]
precision
0.298776 [0.230769,0.230769,0,0.75,0.375,0.25,0.6,0.6,0.25,0,0]
precision
0.3366 [0.257143,0.166667,0,0.5,0.333333,0.6,0.3,0.545455,0,1,0]
precision
0.347049 [0.321429,0.153846,0.4,0,0.421053,0.4,0.454545,0.666667,0,1,0]
precision
0.343648 [0.236842,0.090909,0,1,0.380952,0.5,0.4,0.6,0,0.571429,0]
precision
0.420799 [0.272727,0.454545,0,0.75,0.318182,0.333333,0.5,0.666667,0.333333,1,0]
precision
0.463177 [0.272727,0.133333,0,0.5,0.533333,0.4,0.555556,0.7,0,1,1]
precision
0.395979 [0.219512,0.25,0.5,0,0.363636,0.714286,0.375,0.6,0.333333,1,0]
precision
0.327715 [0.236842,0,0,1,0.421053,0,0.363636,0.583333,0,1,0]
precision
0.30941 [0.236842,0,0.5,0.5,0.5,0,0.333333,0.5,0,0.833333,0]
predictive_accuracy
0.40404
predictive_accuracy
0.323232
predictive_accuracy
0.333333
predictive_accuracy
0.393939
predictive_accuracy
0.333333
predictive_accuracy
0.414141
predictive_accuracy
0.414141
predictive_accuracy
0.363636
predictive_accuracy
0.353535
predictive_accuracy
0.323232
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
prior_entropy
3.459432
recall
0.40404 [0.888889,0.111111,0.111111,0.111111,0.888889,0.111111,0.777778,0.555556,0.444444,0.444444,0]
recall
0.323232 [1,0.333333,0,0.333333,0.666667,0.111111,0.333333,0.666667,0.111111,0,0]
recall
0.333333 [1,0.222222,0,0.333333,0.666667,0.333333,0.333333,0.666667,0,0.111111,0]
recall
0.393939 [1,0.222222,0.222222,0,0.888889,0.222222,0.555556,0.666667,0,0.555556,0]
recall
0.333333 [1,0.111111,0,0.333333,0.888889,0.111111,0.444444,0.333333,0,0.444444,0]
recall
0.414141 [1,0.555556,0,0.333333,0.777778,0.111111,0.444444,0.666667,0.111111,0.555556,0]
recall
0.414141 [1,0.222222,0,0.222222,0.888889,0.222222,0.555556,0.777778,0,0.555556,0.111111]
recall
0.363636 [1,0.333333,0.111111,0,0.444444,0.555556,0.333333,0.666667,0.111111,0.444444,0]
recall
0.353535 [1,0,0,0.333333,0.888889,0,0.444444,0.777778,0,0.444444,0]
recall
0.323232 [1,0,0.111111,0.222222,0.888889,0,0.444444,0.333333,0,0.555556,0]
relative_absolute_error
0.986641
relative_absolute_error
0.987924
relative_absolute_error
0.986377
relative_absolute_error
0.986715
relative_absolute_error
0.986361
relative_absolute_error
0.985793
relative_absolute_error
0.986919
relative_absolute_error
0.987167
relative_absolute_error
0.985552
relative_absolute_error
0.988388
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_prior_squared_error
0.28748
root_mean_squared_error
0.28377
root_mean_squared_error
0.284146
root_mean_squared_error
0.283701
root_mean_squared_error
0.283792
root_mean_squared_error
0.283698
root_mean_squared_error
0.283527
root_mean_squared_error
0.283858
root_mean_squared_error
0.283933
root_mean_squared_error
0.283485
root_mean_squared_error
0.28427
root_relative_squared_error
0.987097
root_relative_squared_error
0.988403
root_relative_squared_error
0.986855
root_relative_squared_error
0.987172
root_relative_squared_error
0.986844
root_relative_squared_error
0.98625
root_relative_squared_error
0.987402
root_relative_squared_error
0.987663
root_relative_squared_error
0.986103
root_relative_squared_error
0.988836
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