OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2065 Supervised Classification primary-tumor 543 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 1346.2927, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1322.5413, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1331.7953, usercpu_time_millis: 740, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1318.6467, usercpu_time_millis: 750, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.3102, kappa: 0.2744, kb_relative_information_score: 98.6482, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2705, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.1546, scimark_benchmark: 1324.6442, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1322.3407, usercpu_time_millis: 710, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 1331.7953, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1306.5596, usercpu_time_millis: 770, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 1367.3264, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.3855, kappa: 0.3477, kb_relative_information_score: 113.1179, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3624, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.968, scimark_benchmark: 1364.991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4187, kappa: 0.3707, kb_relative_information_score: 117.0588, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3999, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.895, scimark_benchmark: 1314.2279, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.4589, kappa: 0.4238, kb_relative_information_score: 140.3374, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4444, predictive_accuracy: 0.4926, prior_entropy: 3.7542, recall: 0.4926, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.8679, scimark_benchmark: 1335.2363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1357.8069, usercpu_time_millis: 730, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211, scimark_benchmark: 1344.3409, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 1325.6322,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.2408, kappa: 0.2268, kb_relative_information_score: 43.925, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1827, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.19, root_relative_squared_error: 0.9448, scimark_benchmark: 1333.5799, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.4038, kappa: 0.339, kb_relative_information_score: 115.5822, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4126, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2036, root_relative_squared_error: 1.0125, scimark_benchmark: 1358.4523, usercpu_time_millis: 2780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.4331, kappa: 0.4022, kb_relative_information_score: 131.464, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4078, predictive_accuracy: 0.4779, prior_entropy: 3.7542, recall: 0.4779, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2179, root_relative_squared_error: 1.0835, scimark_benchmark: 1344.7246, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.4629, kappa: 0.441, kb_relative_information_score: 137.6059, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4426, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.867, scimark_benchmark: 1264.6103, usercpu_time_millis: 7530, usercpu_time_millis_testing: 7530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.4019, kappa: 0.3333, kb_relative_information_score: 110.0447, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.405, predictive_accuracy: 0.4071, prior_entropy: 3.7542, recall: 0.4071, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2092, root_relative_squared_error: 1.0405, scimark_benchmark: 1419.2433, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.3901, kappa: 0.3315, kb_relative_information_score: 109.1051, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3713, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2304, root_relative_squared_error: 1.1459, scimark_benchmark: 1419.2433, usercpu_time_millis: 49000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 48980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.3543, kappa: 0.307, kb_relative_information_score: 75.7426, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3556, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.9432, scimark_benchmark: 1464.9318, usercpu_time_millis: 4450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.3933, kappa: 0.3345, kb_relative_information_score: 116.099, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3935, predictive_accuracy: 0.4041, prior_entropy: 3.7542, recall: 0.4041, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2123, root_relative_squared_error: 1.0557, scimark_benchmark: 1327.9952, usercpu_time_millis: 520, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4187, kappa: 0.3707, kb_relative_information_score: 117.0588, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3999, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.895, scimark_benchmark: 1334.3805, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.4336, kappa: 0.3956, kb_relative_information_score: 126.4268, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.8825, scimark_benchmark: 1345.5136, usercpu_time_millis: 1350, usercpu_time_millis_training: 1350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4187, kappa: 0.3707, kb_relative_information_score: 117.0588, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3999, predictive_accuracy: 0.4484, prior_entropy: 3.7542, recall: 0.4484, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.895, scimark_benchmark: 918.6005, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 1376.9576, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.4319, kappa: 0.3985, kb_relative_information_score: 132.0644, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4138, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.8861, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.3146, kappa: 0.2566, kb_relative_information_score: 16.9218, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4298, predictive_accuracy: 0.3009, prior_entropy: 3.7542, recall: 0.3009, relative_absolute_error: 1.0519, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2055, root_relative_squared_error: 1.0222, scimark_benchmark: 876.0664, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4473, f_measure: 0.0984, kb_relative_information_score: 0.3006, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2012, root_relative_squared_error: 1.0004, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.0984, kb_relative_information_score: 10.0783, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2068, root_relative_squared_error: 1.0283, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.3548, kappa: 0.2965, kb_relative_information_score: 43.5551, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3465, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.9793, scimark_benchmark: 938.343, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.2743, kappa: 0.2249, kb_relative_information_score: 67.2716, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2418, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9668, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.3621, kappa: 0.3369, kb_relative_information_score: 108.9573, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.344, predictive_accuracy: 0.4307, prior_entropy: 3.7542, recall: 0.4307, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.213, root_relative_squared_error: 1.0592, scimark_benchmark: 1336.2976, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.3381, kappa: 0.3156, kb_relative_information_score: 87.2215, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3698, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.9082, scimark_benchmark: 860.584, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.3475, kappa: 0.3282, kb_relative_information_score: 86.345, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3578, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.183, root_relative_squared_error: 0.91, scimark_benchmark: 1299.5783, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs