8865990
710
William Raynaut
146032
Supervised Classification
precision
7782
weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-SMO(1)
6833242
mDataExp
Modelage
study_107
171
primary-tumor
https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff
-1
18647811
description
https://api.openml.org/data/download/18647811/description4331490155725193171.xml
-1
18647812
predictions
https://api.openml.org/data/download/18647812/predictions2805084724495345320.arff
area_under_roc_curve
0.787186 [0.817554,0.985502,0.727946,0.827473,0.699701,0.048817,0.61978,0.59034,0.0,0.952522,0.752239,0.885255,0.384466,0.769577,0.466617,0.048817,0.881307,0.886318,0.613113,0.282641,0.048817,0.945635]
average_cost
0
f_measure
0.406203 [0.644231,0.808511,0,0.307692,0.216216,0,0,0.285714,0,0,0.115385,0.363636,0,0.25641,0,0,0.5,0.527778,0,0,0,0.727273]
kappa
0.367308
kb_relative_information_score
27.482355
mean_absolute_error
0.083619
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
0.394673 [0.540323,0.703704,0,0.333333,0.228571,0,0,1,0,0,0.125,0.285714,0,0.333333,0,0,0.666667,0.44186,0,0,0,0.8]
predictive_accuracy
0.454277
prior_entropy
3.754223
recall
0.454277 [0.797619,0.95,0,0.285714,0.205128,0,0,0.166667,0,0,0.107143,0.5,0,0.208333,0,0,0.4,0.655172,0,0,0,0.666667]
relative_absolute_error
1.029675
root_mean_prior_squared_error
0.201084
root_mean_squared_error
0.202374
root_relative_squared_error
1.006416
total_cost
0
area_under_roc_curve
0.852641 [0.903846,1,1,0.640625,0.733333,0.0,0.893939,0.0,0.0,0.954545,0.758065,0.96875,0.227273,0.804688,0.0,0.0,0.712121,0.978495,0.0,0.0,0.0,1]
area_under_roc_curve
0.828165 [0.860577,1,0.393939,0.828125,0.658333,0.0,0.712121,0.0,0.0,0.984848,0.736559,0.924242,0.742424,0.984375,0.0,0.0,1,0.844086,0.0,0.515152,0.0,1]
area_under_roc_curve
0.685165 [0.620192,0.953125,0.469697,0.601562,0.691667,0.0,0.742424,0.469697,0.0,0.0,0.65625,0.969697,0.151515,0.8125,0.0,0.5,1,0.66129,0.0,0.378788,0.0,0.951613]
area_under_roc_curve
0.811 [0.841346,0.96875,0.969697,0.953125,0.729167,0.5,0.318182,0.515152,0.0,0.0,0.90625,0.863636,0.590909,0.484375,0.924242,0.0,0.893939,0.908602,0.0,0.0,0.0,1]
area_under_roc_curve
0.839178 [0.9,1,0.727273,1,0.8,0.0,0.621212,0.666667,0.0,0.0,0.709677,0.984848,0.348485,0.9375,0.5,0.0,1,0.967742,0.757576,0.0,0.0,0.859375]
area_under_roc_curve
0.835499 [0.815556,0.984375,0.69697,0.878788,0.716667,0.0,0.765625,0.984848,0.0,0.0,0.83871,0.914062,0.0,0.914062,0.0,0.0,1,0.833333,0.545455,0.0,0.0,0.960938]
area_under_roc_curve
0.804003 [0.773333,0.984375,0.848485,0.909091,0.763441,0.0,0.445312,1,0.0,0.0,0.612903,0.945312,0.0,0.88172,0.0,0.0,0.863636,0.935484,0.924242,0.0,0.0,0.75]
area_under_roc_curve
0.822279 [0.86,1,0.0,1,0.804167,0.0,0.578125,0.136364,0.0,0.0,0.784946,0.773438,0.0,0.897849,0.0,0.0,0.909091,0.876344,0.606061,0.0,0.0,0.984375]
area_under_roc_curve
0.74938 [0.78125,1,0.666667,0.954545,0.495833,0.0,0.546875,0.0,0.0,0.0,0.741935,0.890625,0.090909,0.897849,0.0,0.0,0.863636,0.96875,0.484848,0.0,0.5,0.976562]
area_under_roc_curve
0.797644 [0.8925,1,0.84375,0.84375,0.698276,0.0,0.53125,0.0,0.0,0.0,0.761111,0.975806,0.78125,0.311111,0.0,0.0,0.796875,0.933333,0.65625,0.0,0.0,0.983871]
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
0.450514 [0.761905,1,0,0,0.222222,0,0,0,0,0,0,0.666667,0,0,0,0,0,0.666667,0,0,0,1]
f_measure
0.443978 [0.666667,1,0,0.666667,0.285714,0,0,0,0,0,0,0.285714,0,0,0,0,1,0.333333,0,0,0,1]
f_measure
0.260784 [0.4,0.444444,0,0,0.444444,0,0,0,0,0,0,0.5,0,0,0,0,1,0,0,0,0,0.5]
f_measure
0.347212 [0.636364,0.5,0,0.4,0,0,0,0,0,0,0.4,0,0,0,0,0,0,0.571429,0,0,0,0.8]
f_measure
0.451419 [0.736842,1,0,1,0,0,0,0,0,0,0,0.666667,0,0.5,0,0,1,0.75,0,0,0,0.4]
f_measure
0.390537 [0.608696,0.8,0,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0,1,0.4,0,0,0,0.666667]
f_measure
0.446779 [0.6,0.8,0,0,0.4,0,0,1,0,0,0.285714,0.4,0,0.4,0,0,0,0.6,0,0,0,0.666667]
f_measure
0.446167 [0.736842,1,0,1,0.2,0,0,0,0,0,0,0.285714,0,0.5,0,0,0,0.444444,0,0,0,0.666667]
f_measure
0.291087 [0.545455,1,0,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,0.666667,0,0,0,0.5]
f_measure
0.408947 [0.761905,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.6,0,0,0,0.8]
kappa
0.419095
kappa
0.425447
kappa
0.223436
kappa
0.318637
kappa
0.463511
kappa
0.340816
kappa
0.420261
kappa
0.386774
kappa
0.245207
kappa
0.431647
kb_relative_information_score
2.966691
kb_relative_information_score
3.514778
kb_relative_information_score
2.315189
kb_relative_information_score
3.20094
kb_relative_information_score
2.969817
kb_relative_information_score
2.874
kb_relative_information_score
2.990594
kb_relative_information_score
1.842752
kb_relative_information_score
2.317957
kb_relative_information_score
2.489637
mean_absolute_error
0.083409
mean_absolute_error
0.083466
mean_absolute_error
0.084271
mean_absolute_error
0.083736
mean_absolute_error
0.083536
mean_absolute_error
0.083362
mean_absolute_error
0.083443
mean_absolute_error
0.083547
mean_absolute_error
0.083876
mean_absolute_error
0.083539
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
0.433032 [0.615385,1,0,0,0.2,0,0,0,0,0,0,1,0,0,0,0,0,0.666667,0,0,0,1]
precision
0.43552 [0.538462,1,0,1,0.333333,0,0,0,0,0,0,0.166667,0,0,0,0,1,0.333333,0,0,0,1]
precision
0.269748 [0.333333,0.285714,0,0,0.4,0,0,0,0,0,0,0.333333,0,0,0,0,1,0,0,0,0,1]
precision
0.318627 [0.5,0.5,0,0.333333,0,0,0,0,0,0,0.333333,0,0,0,0,0,0,0.5,0,0,0,1]
precision
0.409804 [0.7,1,0,1,0,0,0,0,0,0,0,0.5,0,0.333333,0,0,1,0.6,0,0,0,0.333333]
precision
0.377451 [0.5,0.666667,0,0,0.5,0,0,0,0,0,0,0.25,0,0,0,0,1,0.5,0,0,0,1]
precision
0.439553 [0.545455,0.666667,0,0,0.5,0,0,1,0,0,0.25,0.333333,0,0.5,0,0,0,0.428571,0,0,0,1]
precision
0.481373 [0.7,1,0,1,0.166667,0,0,0,0,0,0,0.2,0,1,0,0,0,0.333333,0,0,0,1]
precision
0.262605 [0.428571,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0.5]
precision
0.349761 [0.615385,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.428571,0,0,0,0.666667]
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.323529
predictive_accuracy
0.411765
predictive_accuracy
0.529412
predictive_accuracy
0.441176
predictive_accuracy
0.5
predictive_accuracy
0.470588
predictive_accuracy
0.352941
predictive_accuracy
0.515152
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
0.5 [1,1,0,0,0.25,0,0,0,0,0,0,0.5,0,0,0,0,0,0.666667,0,0,0,1]
recall
0.5 [0.875,1,0,0.5,0.25,0,0,0,0,0,0,1,0,0,0,0,1,0.333333,0,0,0,1]
recall
0.323529 [0.5,1,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0.333333]
recall
0.411765 [0.875,0.5,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0.666667,0,0,0,0.666667]
recall
0.529412 [0.777778,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0.5]
recall
0.441176 [0.777778,1,0,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,1,0.333333,0,0,0,0.5]
recall
0.5 [0.666667,1,0,0,0.333333,0,0,1,0,0,0.333333,0.5,0,0.333333,0,0,0,1,0,0,0,0.5]
recall
0.470588 [0.777778,1,0,1,0.25,0,0,0,0,0,0,0.5,0,0.333333,0,0,0,0.666667,0,0,0,0.5]
recall
0.352941 [0.75,1,0,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,0.5]
recall
0.515152 [1,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,1,0,0,0,1]
relative_absolute_error
1.025715
relative_absolute_error
1.025119
relative_absolute_error
1.032841
relative_absolute_error
1.026287
relative_absolute_error
1.031225
relative_absolute_error
1.031062
relative_absolute_error
1.030648
relative_absolute_error
1.034774
relative_absolute_error
1.029212
relative_absolute_error
1.029937
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
0.201817
root_mean_squared_error
0.201976
root_mean_squared_error
0.204019
root_mean_squared_error
0.202729
root_mean_squared_error
0.202157
root_mean_squared_error
0.201713
root_mean_squared_error
0.201921
root_mean_squared_error
0.202195
root_mean_squared_error
0.203043
root_mean_squared_error
0.202155
root_relative_squared_error
1.002299
root_relative_squared_error
1.00181
root_relative_squared_error
1.009828
root_relative_squared_error
1.003443
root_relative_squared_error
1.007864
root_relative_squared_error
1.007601
root_relative_squared_error
1.007244
root_relative_squared_error
1.01141
root_relative_squared_error
1.006188
root_relative_squared_error
1.006546
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