Task
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: 0.8404, 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: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1346.6261, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
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: 915.9028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 942.3809, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
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: 942.3809, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
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: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 935.627, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 922.5036,
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: 938.838, 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: 938.838,
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: 938.838, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 949.7766, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, 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: 934.929, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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: 923.509, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.17, kappa: 0.1196, kb_relative_information_score: 44.4081, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1289, predictive_accuracy: 0.2832, prior_entropy: 3.7542, recall: 0.2832, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.194, root_relative_squared_error: 0.9649, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.426, kappa: 0.3789, kb_relative_information_score: 89.582, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.413, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.9194, scimark_benchmark: 935.6052, usercpu_time_millis: 1800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.4113, kappa: 0.397, kb_relative_information_score: 99.9099, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3819, predictive_accuracy: 0.4867, prior_entropy: 3.7542, recall: 0.4867, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.8866, scimark_benchmark: 906.0884, usercpu_time_millis: 490, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0984, kb_relative_information_score: 40.1263, mean_absolute_error: 0.0684, 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: 0.8421, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2615, root_relative_squared_error: 1.3005, scimark_benchmark: 941.9549,
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: 941.9549,
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: 938.3115,
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: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 926.5859,
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: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.404, kappa: 0.3643, kb_relative_information_score: 115.5777, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3759, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.9044, scimark_benchmark: 936.7184, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.4164, kappa: 0.382, kb_relative_information_score: 115.9792, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3925, predictive_accuracy: 0.4631, prior_entropy: 3.7542, recall: 0.4631, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8956, scimark_benchmark: 930.5033, usercpu_time_millis: 420, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 320,
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: 1322.7257,
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: 1322.7257,
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: 1347.993, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
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: 1299.9304, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.4624, kappa: 0.4251, kb_relative_information_score: 138.9844, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4459, predictive_accuracy: 0.4956, prior_entropy: 3.7542, recall: 0.4956, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.8674, scimark_benchmark: 1363.1824, usercpu_time_millis: 110, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 10,
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: 929.0363, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
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: 1397.3209, usercpu_time_millis: 710, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 400,
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: 1344.0499, 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: 1373.7859,
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: 0.6307, 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: 859.5223, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
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: 819.5729,
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: 943.1009, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
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: 936.3373, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
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: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 938.5498, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
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: 931.771, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
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: 905.2959,
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: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 904.6764, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
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: 851.2074, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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: 0.735, 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: 0.8383, 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: 0.7028, 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: 0.741, 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: 0.7266, 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: 0.7426, 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: 0.6895, 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: 0.6185, 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: 0.7246, 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: 0.7172, 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: 1066.833,

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