8887242
710
William Raynaut
2065
Supervised Classification
predictive_accuracy
8312
weka.kf.JRip(1)
6835539
mDataExp
Modelage
study_107
171
primary-tumor
https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff
-1
18690314
description
https://api.openml.org/data/download/18690314/description5387496000253700150.xml
-1
18690315
predictions
https://api.openml.org/data/download/18690315/predictions6179818087980923984.arff
area_under_roc_curve
0.618451 [0.626167,0.837147,0.37138,0.498242,0.513419,0.213018,0.566374,0.337838,0.0,0.518546,0.607947,0.573723,0.495482,0.639616,0.291543,0.18787,0.705927,0.768854,0.352102,0.37908,0.244083,0.854299]
average_cost
0
f_measure
0.274251 [0.45768,0.7,0,0,0,0,0,0,0,0,0,0,0,0.25641,0,0,0,0.516129,0,0,0,0.808511]
kappa
0.224875
kb_relative_information_score
67.271595
mean_absolute_error
0.070013
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]
precision
0.24183 [0.310638,0.7,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0.484848,0,0,0,0.826087]
predictive_accuracy
0.374631
prior_entropy
3.754223
recall
0.374631 [0.869048,0.7,0,0,0,0,0,0,0,0,0,0,0,0.208333,0,0,0,0.551724,0,0,0,0.791667]
relative_absolute_error
0.86213
root_mean_prior_squared_error
0.201084
root_mean_squared_error
0.194409
root_relative_squared_error
0.966805
total_cost
0
area_under_roc_curve
0.6492 [0.615385,1,0.530303,0.53125,0.466667,0.0,0.590909,0.0,0.0,0.590909,0.596774,0.59375,0.590909,0.59375,0.0,0.0,0.590909,0.72043,0.0,0.0,0.0,1]
area_under_roc_curve
0.656993 [0.581731,1,0.636364,0.609375,0.466667,0.0,0.606061,0.0,0.0,0.636364,0.645161,0.575758,0.636364,0.609375,0.0,0.0,0.636364,0.693548,0.0,0.636364,0.0,1]
area_under_roc_curve
0.598466 [0.490385,0.96875,0.530303,0.125,0.566667,0.0,0.651515,0.136364,0.0,0.0,0.65625,0.651515,0.651515,0.625,0.0,0.5,0.651515,0.66129,0.0,0.651515,0.0,1]
area_under_roc_curve
0.589726 [0.586538,0.3125,0.106061,0.625,0.5,0.5,0.621212,0.560606,0.0,0.0,0.625,0.621212,0.621212,0.625,0.106061,0.0,0.621212,0.741935,0.0,0.0,0.0,1]
area_under_roc_curve
0.633897 [0.56,1,0.69697,0.727273,0.458333,0.0,0.727273,0.181818,0.0,0.0,0.612903,0.727273,0.212121,0.789062,0.727273,0.0,0.666667,0.83871,0.454545,0.0,0.0,0.8125]
area_under_roc_curve
0.656492 [0.622222,0.789062,0.166667,0.530303,0.604167,0.0,0.789062,0.590909,0.0,0.0,0.731183,0.5,0.0,0.8125,0.0,0.0,0.681818,0.698925,0.590909,0.0,0.0,0.835938]
area_under_roc_curve
0.626652 [0.62,0.59375,0.590909,0.060606,0.591398,0.0,0.59375,0.590909,0.0,0.0,0.596774,0.59375,0.0,0.698925,0.0,0.0,0.590909,0.833333,0.590909,0.0,0.0,0.789062]
area_under_roc_curve
0.652107 [0.7,1,0.0,0.590909,0.5625,0.0,0.65625,0.590909,0.0,0.0,0.629032,0.5625,0.0,0.478495,0.0,0.0,0.651515,0.801075,0.5,0.0,0.0,0.5625]
area_under_roc_curve
0.68568 [0.677885,1,0.151515,0.545455,0.575,0.0,0.703125,0.0,0.0,0.0,0.575269,0.703125,0.69697,0.688172,0.0,0.0,0.939394,0.96875,0.575758,0.0,0.5,0.820312]
area_under_roc_curve
0.652642 [0.6925,0.604839,0.671875,0.671875,0.487069,0.0,0.21875,0.0,0.0,0.0,0.533333,0.677419,0.734375,0.627778,0.0,0.0,0.734375,0.927778,0.21875,0.0,0.0,0.983871]
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
0.295752 [0.444444,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1]
f_measure
0.276292 [0.424242,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1]
f_measure
0.215686 [0.375,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
f_measure
0.229239 [0.411765,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1]
f_measure
0.259524 [0.428571,1,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0.5,0,0,0,0.4]
f_measure
0.270525 [0.451613,0.4,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.666667]
f_measure
0.270933 [0.486486,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.666667]
f_measure
0.286542 [0.545455,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667]
f_measure
0.2631 [0.482759,1,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0.666667,0,0,0,0.5]
f_measure
0.314466 [0.538462,0.666667,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.545455,0,0,0,0.8]
kappa
0.257642
kappa
0.233906
kappa
0.172487
kappa
0.160944
kappa
0.21346
kappa
0.196563
kappa
0.195039
kappa
0.254386
kappa
0.253918
kappa
0.309471
kb_relative_information_score
7.336065
kb_relative_information_score
7.331836
kb_relative_information_score
6.247618
kb_relative_information_score
4.954127
kb_relative_information_score
6.806936
kb_relative_information_score
6.520238
kb_relative_information_score
5.376389
kb_relative_information_score
6.689251
kb_relative_information_score
8.037663
kb_relative_information_score
7.971473
mean_absolute_error
0.068014
mean_absolute_error
0.068444
mean_absolute_error
0.071909
mean_absolute_error
0.073189
mean_absolute_error
0.070361
mean_absolute_error
0.070912
mean_absolute_error
0.07213
mean_absolute_error
0.069231
mean_absolute_error
0.069255
mean_absolute_error
0.066581
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
0.302521 [0.285714,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1]
precision
0.242353 [0.28,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1]
precision
0.176471 [0.25,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
precision
0.239819 [0.269231,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1]
precision
0.212023 [0.315789,1,0,0,0,0,0,0,0,0,0,0,0,0.25,0,0,0,0.4,0,0,0,0.333333]
precision
0.250891 [0.318182,0.333333,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1]
precision
0.290966 [0.321429,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1]
precision
0.252206 [0.375,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,1]
precision
0.213725 [0.333333,1,0,0,0,0,0,0,0,0,0,0,0,0.2,0,0,0,0.5,0,0,0,0.5]
precision
0.320286 [0.388889,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0.375,0,0,0,0.666667]
predictive_accuracy
0.411765
predictive_accuracy
0.382353
predictive_accuracy
0.323529
predictive_accuracy
0.323529
predictive_accuracy
0.352941
predictive_accuracy
0.352941
predictive_accuracy
0.382353
predictive_accuracy
0.411765
predictive_accuracy
0.382353
predictive_accuracy
0.424242
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
0.411765 [1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1]
recall
0.382353 [0.875,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1]
recall
0.323529 [0.75,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1]
recall
0.323529 [0.875,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1]
recall
0.352941 [0.666667,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.5]
recall
0.352941 [0.777778,0.5,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0.5]
recall
0.382353 [1,0,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0.666667,0,0,0,0.5]
recall
0.411765 [1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.5]
recall
0.382353 [0.875,1,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,0.5]
recall
0.424242 [0.875,0.5,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,1]
relative_absolute_error
0.836396
relative_absolute_error
0.840621
relative_absolute_error
0.881327
relative_absolute_error
0.897021
relative_absolute_error
0.86859
relative_absolute_error
0.877067
relative_absolute_error
0.890908
relative_absolute_error
0.857455
relative_absolute_error
0.849809
relative_absolute_error
0.820869
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
0.18184
root_mean_squared_error
0.189827
root_mean_squared_error
0.199533
root_mean_squared_error
0.202964
root_mean_squared_error
0.202921
root_mean_squared_error
0.196175
root_mean_squared_error
0.19127
root_mean_squared_error
0.191562
root_mean_squared_error
0.191938
root_mean_squared_error
0.195109
root_relative_squared_error
0.903086
root_relative_squared_error
0.941553
root_relative_squared_error
0.987624
root_relative_squared_error
1.004606
root_relative_squared_error
1.011673
root_relative_squared_error
0.979934
root_relative_squared_error
0.954114
root_relative_squared_error
0.958223
root_relative_squared_error
0.951153
root_relative_squared_error
0.971468
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