225199
2
Joaquin Vanschoren
2065
Supervised Classification
predictive_accuracy
1103
weka.VFI(1)
1872
weka.classifiers.misc.VFI -- -B 0.6
B
0.6
1103
study_1
weka
weka_3.7.12
171
primary-tumor
https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff
-1
749031
description
https://api.openml.org/data/download/749031/weka_generated_run7746134681094184386.xml
-1
749034
model_readable
https://api.openml.org/data/download/749034/WekaModel_weka.classifiers.misc.VFI6205631573305716947.model
-1
749033
model_serialized
https://api.openml.org/data/download/749033/WekaSerialized_weka.classifiers.misc.VFI8728610845424170918.model
-1
749032
predictions
https://api.openml.org/data/download/749032/weka_generated_predictions5975342160106205355.arff
area_under_roc_curve
0.811758 [0.859337,0.986991,0.69899,0.756703,0.69,0.048817,0.704835,0.692192,0.0,0.992582,0.795475,0.898026,0.481282,0.752579,0.545252,0.048817,0.868389,0.932481,0.645646,0.594955,0.048817,0.973413]
average_cost
0
f_measure
0.31459 [0.487395,0.648649,0,0.2,0.045455,0,0,0.173913,0,0.111111,0.102564,0.350877,0,0.071429,0,0,0.26087,0.586207,0,0,0,0.711864]
kappa
0.256579
kb_relative_information_score
16.921829
mean_absolute_error
0.08542
mean_prior_absolute_error
0.081209
number_of_instances
339 [84,20,9,14,39,1,14,6,0,2,28,16,7,24,2,1,10,29,6,2,1,24]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.42982 [0.828571,0.705882,0,0.333333,0.2,0,0,0.117647,0,0.058824,0.181818,0.243902,0,0.25,0,0,0.230769,0.586207,0,0,0,0.6]
predictive_accuracy
0.300885
prior_entropy
3.754223
recall
0.300885 [0.345238,0.6,0,0.142857,0.025641,0,0,0.333333,0,1,0.071429,0.625,0,0.041667,0,0,0.3,0.586207,0,0,0,0.875]
relative_absolute_error
1.051859
root_mean_prior_squared_error
0.201084
root_mean_squared_error
0.205542
root_relative_squared_error
1.02217
scimark_benchmark
876.066359 [550.9287964609948, 1009.9344946043965, 476.37171629653386, 819.7123319335375, 1523.3844561285432]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.807881 [0.841346,1,0.848485,0.46875,0.666667,0.0,0.787879,0.0,0.0,1,0.747312,0.921875,0.69697,0.53125,0.0,0.0,0.651515,1,0.0,0.0,0.0,1]
area_under_roc_curve
0.875279 [0.956731,0.984375,0.242424,0.859375,0.716667,0.0,0.969697,0.0,0.0,1,0.801075,0.984848,0.848485,0.921875,0.0,0.0,0.969697,0.924731,0.0,0.515152,0.0,1]
area_under_roc_curve
0.79012 [0.740385,0.96875,0.939394,0.75,0.75,0.0,0.924242,0.69697,0.0,0.0,0.8125,0.984848,0.212121,0.890625,0.0,0.5,0.939394,0.817204,0.0,0.545455,0.0,0.967742]
area_under_roc_curve
0.788055 [0.865385,0.96875,1,0.90625,0.5625,0.5,0.424242,0.454545,0.0,0.0,0.828125,0.787879,0.727273,0.515625,0.575758,0.0,0.939394,0.924731,0.0,0.0,0.0,1]
area_under_roc_curve
0.898715 [0.906667,1,0.969697,0.969697,0.85,0.0,0.787879,0.878788,0.0,0.0,0.892473,1,0.545455,0.9375,0.606061,0.0,1,0.956989,0.909091,0.0,0.0,0.953125]
area_under_roc_curve
0.848526 [0.893333,1,0.727273,0.69697,0.633333,0.0,0.75,1,0.0,0.0,0.924731,0.90625,0.0,0.9375,0.0,0.0,0.848485,0.913978,0.393939,0.0,0.0,0.953125]
area_under_roc_curve
0.815909 [0.786667,1,0.818182,0.848485,0.752688,0.0,0.578125,0.969697,0.0,0.0,0.655914,0.96875,0.0,0.763441,0.0,0.0,0.878788,0.978495,0.787879,0.0,0.0,0.90625]
area_under_roc_curve
0.853905 [0.964444,1,0.0,0.878788,0.816667,0.0,0.796875,0.272727,0.0,0.0,0.784946,0.671875,0.0,0.768817,0.0,0.0,0.954545,0.935484,0.606061,0.0,0.0,0.984375]
area_under_roc_curve
0.802937 [0.879808,1,0.424242,1,0.645833,0.0,0.625,0.0,0.0,0.0,0.806452,0.875,0.484848,0.784946,0.0,0.0,1,0.976562,0.666667,0.0,0.5,0.9375]
area_under_roc_curve
0.789839 [0.905,1,0.4375,0.875,0.590517,0.0,0.65625,0.0,0.0,0.0,0.8,0.967742,0,0.611111,0.0,0.0,0.65625,0.994444,0.75,0.0,0.0,0.967742]
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
0.287255 [0.4,0.666667,0,0,0,0,0,0,0,0.333333,0,0.25,0,0,0,0,0,0.8,0,0,0,0.666667]
f_measure
0.249427 [0.363636,1,0,0,0,0,0,0,0,0.666667,0,0.333333,0,0,0,0,0,0,0,0,0,0.857143]
f_measure
0.310205 [0.545455,0.8,0,0,0,0,0,0,0,0,0.666667,0.5,0,0,0,0,0.5,0,0,0,0,0.75]
f_measure
0.37535 [0.857143,0,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.857143]
f_measure
0.177871 [0,0.666667,0,1,0,0,0,0,0,0,0,0.666667,0,0,0,0,0,0.571429,0,0,0,0.666667]
f_measure
0.35387 [0.736842,0.666667,0,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0.666667]
f_measure
0.385197 [0.461538,0.8,0,0,0,0,0,0.666667,0,0,0,0.571429,0,0.4,0,0,0,1,0,0,0,0.666667]
f_measure
0.251485 [0.363636,1,0,0,0,0,0,0,0,0,0,0.222222,0,0,0,0,0.5,0.333333,0,0,0,0.666667]
f_measure
0.253221 [0.4,0,0,0,0.4,0,0,0,0,0,0,0.5,0,0,0,0,0.666667,0.571429,0,0,0,0.5]
f_measure
0.332743 [0.363636,0.666667,0,0,0,0,0,0,0,0,0.5,0.666667,0,0,0,0,0,0.857143,0,0,0,0.666667]
kappa
0.246537
kappa
0.220898
kappa
0.283883
kappa
0.302239
kappa
0.181088
kappa
0.276596
kappa
0.338889
kappa
0.219467
kappa
0.199275
kappa
0.291707
kb_relative_information_score
1.958751
kb_relative_information_score
2.616847
kb_relative_information_score
2.259015
kb_relative_information_score
2.284754
kb_relative_information_score
2.216457
kb_relative_information_score
1.175668
kb_relative_information_score
1.127214
kb_relative_information_score
0.921597
kb_relative_information_score
1.322275
kb_relative_information_score
1.039252
mean_absolute_error
0.085233
mean_absolute_error
0.085228
mean_absolute_error
0.085401
mean_absolute_error
0.085293
mean_absolute_error
0.085481
mean_absolute_error
0.085505
mean_absolute_error
0.08571
mean_absolute_error
0.08537
mean_absolute_error
0.085529
mean_absolute_error
0.085455
mean_prior_absolute_error
0.081317
mean_prior_absolute_error
0.081421
mean_prior_absolute_error
0.081592
mean_prior_absolute_error
0.081592
mean_prior_absolute_error
0.081006
mean_prior_absolute_error
0.080851
mean_prior_absolute_error
0.080962
mean_prior_absolute_error
0.08074
mean_prior_absolute_error
0.081495
mean_prior_absolute_error
0.081111
number_of_instances
34 [8,2,1,2,4,0,1,0,0,1,3,2,1,2,0,0,1,3,0,0,0,3]
number_of_instances
34 [8,2,1,2,4,0,1,0,0,1,3,1,1,2,0,0,1,3,0,1,0,3]
number_of_instances
34 [8,2,1,2,4,0,1,1,0,0,2,1,1,2,0,1,1,3,0,1,0,3]
number_of_instances
34 [8,2,1,2,4,1,1,1,0,0,2,1,1,2,1,0,1,3,0,0,0,3]
number_of_instances
34 [9,2,1,1,4,0,1,1,0,0,3,1,1,2,1,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,1,1,4,0,2,1,0,0,3,2,0,2,0,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,1,1,3,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,0,1,4,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2]
number_of_instances
34 [8,2,1,1,4,0,2,0,0,0,3,2,1,3,0,0,1,2,1,0,1,2]
number_of_instances
33 [8,2,1,1,4,0,1,0,0,0,3,2,1,3,0,0,1,3,1,0,0,2]
precision
0.442157 [1,1,0,0,0,0,0,0,0,0.2,0,0.166667,0,0,0,0,0,1,0,0,0,0.5]
precision
0.302451 [0.666667,1,0,0,0,0,0,0,0,0.5,0,0.2,0,0,0,0,0,0,0,0,0,0.75]
precision
0.405882 [1,0.666667,0,0,0,0,0,0,0,0,1,0.333333,0,0,0,0,0.333333,0,0,0,0,0.6]
precision
0.419118 [1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.75]
precision
0.176471 [0,1,0,1,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0.5,0,0,0,0.5]
precision
0.397059 [0.7,1,0,0,0,0,0,0.2,0,0,0,0,0,0,0,0,0,1,0,0,0,1]
precision
0.467157 [0.75,0.666667,0,0,0,0,0,0.5,0,0,0,0.4,0,0.5,0,0,0,1,0,0,0,1]
precision
0.40056 [1,1,0,0,0,0,0,0,0,0,0,0.142857,0,0,0,0,0.333333,0.333333,0,0,0,0.5]
precision
0.45 [1,0,0,0,1,0,0,0,0,0,0,0.5,0,0,0,0,0.5,0.4,0,0,0,0.5]
precision
0.441919 [0.666667,1,0,0,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0.75,0,0,0,0.5]
predictive_accuracy
0.294118
predictive_accuracy
0.264706
predictive_accuracy
0.323529
predictive_accuracy
0.352941
predictive_accuracy
0.205882
predictive_accuracy
0.352941
predictive_accuracy
0.382353
predictive_accuracy
0.264706
predictive_accuracy
0.235294
predictive_accuracy
0.333333
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
recall
0.294118 [0.25,0.5,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0.666667,0,0,0,1]
recall
0.264706 [0.25,1,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1]
recall
0.323529 [0.375,1,0,0,0,0,0,0,0,0,0.5,1,0,0,0,0,1,0,0,0,0,1]
recall
0.352941 [0.75,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,1]
recall
0.205882 [0,0.5,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0.666667,0,0,0,1]
recall
0.352941 [0.777778,0.5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.5]
recall
0.382353 [0.333333,1,0,0,0,0,0,1,0,0,0,1,0,0.333333,0,0,0,1,0,0,0,0.5]
recall
0.264706 [0.222222,1,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,1,0.333333,0,0,0,1]
recall
0.235294 [0.25,0,0,0,0.25,0,0,0,0,0,0,0.5,0,0,0,0,1,1,0,0,0,0.5]
recall
0.333333 [0.25,0.5,0,0,0,0,0,0,0,0,0.333333,1,0,0,0,0,0,1,0,0,0,1]
relative_absolute_error
1.048147
relative_absolute_error
1.04676
relative_absolute_error
1.046693
relative_absolute_error
1.045362
relative_absolute_error
1.055238
relative_absolute_error
1.057564
relative_absolute_error
1.058639
relative_absolute_error
1.057342
relative_absolute_error
1.049502
relative_absolute_error
1.05356
root_mean_prior_squared_error
0.201354
root_mean_prior_squared_error
0.201611
root_mean_prior_squared_error
0.202033
root_mean_prior_squared_error
0.202033
root_mean_prior_squared_error
0.20058
root_mean_prior_squared_error
0.200192
root_mean_prior_squared_error
0.200469
root_mean_prior_squared_error
0.199914
root_mean_prior_squared_error
0.201795
root_mean_prior_squared_error
0.20084
root_mean_squared_error
0.205062
root_mean_squared_error
0.205016
root_mean_squared_error
0.205711
root_mean_squared_error
0.205449
root_mean_squared_error
0.205609
root_mean_squared_error
0.205625
root_mean_squared_error
0.206107
root_mean_squared_error
0.205331
root_mean_squared_error
0.205954
root_mean_squared_error
0.205555
root_relative_squared_error
1.018415
root_relative_squared_error
1.016891
root_relative_squared_error
1.018204
root_relative_squared_error
1.01691
root_relative_squared_error
1.025071
root_relative_squared_error
1.027141
root_relative_squared_error
1.028125
root_relative_squared_error
1.027095
root_relative_squared_error
1.020609
root_relative_squared_error
1.023476
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
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
10
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0