OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2930 Supervised Classification primary-tumor 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.3848, kappa: 0.3429, kb_relative_information_score: 1142.8924, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3576, predictive_accuracy: 0.4283, prior_entropy: 3.7542, recall: 0.4283, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.193, root_relative_squared_error: 0.9598, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.4038, kappa: 0.3567, kb_relative_information_score: 1191.844, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3818, predictive_accuracy: 0.4357, prior_entropy: 3.7542, recall: 0.4357, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.8917, scimark_benchmark: 851.2074, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.3166, kappa: 0.2834, kb_relative_information_score: 1007.1905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.2762, predictive_accuracy: 0.4142, prior_entropy: 3.7542, recall: 0.4142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2308, root_relative_squared_error: 1.1477, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.3718, kappa: 0.3417, kb_relative_information_score: 1096.0941, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3465, predictive_accuracy: 0.4342, prior_entropy: 3.7542, recall: 0.4342, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.897, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4138, kappa: 0.3611, kb_relative_information_score: 1162.8239, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3979, predictive_accuracy: 0.4375, prior_entropy: 3.7542, recall: 0.4375, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.916, 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: 0.6352, f_measure: 0.3166, kappa: 0.2834, kb_relative_information_score: 1007.1905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.2762, predictive_accuracy: 0.4142, prior_entropy: 3.7542, recall: 0.4142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2308, root_relative_squared_error: 1.1477, scimark_benchmark: 974.2014, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.4327, kappa: 0.3992, kb_relative_information_score: 1316.398, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4156, predictive_accuracy: 0.4705, prior_entropy: 3.7542, recall: 0.4705, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.8883, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.4421, kappa: 0.4089, kb_relative_information_score: 1333.4711, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4287, predictive_accuracy: 0.4794, prior_entropy: 3.7542, recall: 0.4794, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.8849, scimark_benchmark: 947.1781, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4138, kappa: 0.3611, kb_relative_information_score: 1162.8239, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3979, predictive_accuracy: 0.4375, prior_entropy: 3.7542, recall: 0.4375, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.916, scimark_benchmark: 943.1009, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.3848, kappa: 0.3429, kb_relative_information_score: 1142.8924, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3576, predictive_accuracy: 0.4283, prior_entropy: 3.7542, recall: 0.4283, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.193, root_relative_squared_error: 0.9598, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.4038, kappa: 0.3567, kb_relative_information_score: 1191.844, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3818, predictive_accuracy: 0.4357, prior_entropy: 3.7542, recall: 0.4357, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.8917, scimark_benchmark: 608.4057, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.3166, kappa: 0.2834, kb_relative_information_score: 1007.1905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.2762, predictive_accuracy: 0.4142, prior_entropy: 3.7542, recall: 0.4142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2308, root_relative_squared_error: 1.1477, scimark_benchmark: 936.2574, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.3718, kappa: 0.3417, kb_relative_information_score: 1096.0941, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3465, predictive_accuracy: 0.4342, prior_entropy: 3.7542, recall: 0.4342, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.897, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.4421, kappa: 0.4089, kb_relative_information_score: 1333.4711, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4287, predictive_accuracy: 0.4794, prior_entropy: 3.7542, recall: 0.4794, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.8849, scimark_benchmark: 935.5664, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4138, kappa: 0.3611, kb_relative_information_score: 1162.8239, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3979, predictive_accuracy: 0.4375, prior_entropy: 3.7542, recall: 0.4375, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.916, scimark_benchmark: 917.5013, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.4234, kappa: 0.3848, kb_relative_information_score: 1173.6016, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3987, predictive_accuracy: 0.4646, prior_entropy: 3.7542, recall: 0.4646, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.8891, scimark_benchmark: 901.6243, usercpu_time_millis: 4270, usercpu_time_millis_testing: 1670, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.4203, kappa: 0.3815, kb_relative_information_score: 1173.7883, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3945, predictive_accuracy: 0.4619, prior_entropy: 3.7542, recall: 0.4619, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.8907, scimark_benchmark: 931.9419, usercpu_time_millis: 2200, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.4147, kappa: 0.3752, kb_relative_information_score: 1173.8669, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3881, predictive_accuracy: 0.4558, prior_entropy: 3.7542, recall: 0.4558, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.8924, scimark_benchmark: 939.7883, usercpu_time_millis: 850, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.4161, kappa: 0.3771, kb_relative_information_score: 1173.4769, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.391, predictive_accuracy: 0.4572, prior_entropy: 3.7542, recall: 0.4572, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8951, scimark_benchmark: 905.3417, usercpu_time_millis: 410, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.4191, kappa: 0.3789, kb_relative_information_score: 1181.5047, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3941, predictive_accuracy: 0.4581, prior_entropy: 3.7542, recall: 0.4581, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.181, root_relative_squared_error: 0.8999, scimark_benchmark: 935.6052, usercpu_time_millis: 250, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4474, f_measure: 0.0984, kb_relative_information_score: 2.9931, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, 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: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 553.8396, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, 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: 0.1936, root_relative_squared_error: 0.9625, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 553.8396, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, 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: 0.1936, root_relative_squared_error: 0.9625, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 553.8396, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, 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: 0.1936, root_relative_squared_error: 0.9625, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 553.8396, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, 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: 0.1936, root_relative_squared_error: 0.9625, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.3166, kappa: 0.2834, kb_relative_information_score: 1007.1905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.2762, predictive_accuracy: 0.4142, prior_entropy: 3.7542, recall: 0.4142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2308, root_relative_squared_error: 1.1477, scimark_benchmark: 1310.3168, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.4327, kappa: 0.3992, kb_relative_information_score: 1316.398, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4156, predictive_accuracy: 0.4705, prior_entropy: 3.7542, recall: 0.4705, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.8883, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.4138, kappa: 0.3611, kb_relative_information_score: 1162.8239, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3979, predictive_accuracy: 0.4375, prior_entropy: 3.7542, recall: 0.4375, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.916, scimark_benchmark: 1374.9737, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.3166, kappa: 0.2834, kb_relative_information_score: 1007.1905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.2762, predictive_accuracy: 0.4142, prior_entropy: 3.7542, recall: 0.4142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2308, root_relative_squared_error: 1.1477, scimark_benchmark: 1321.8321, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.4327, kappa: 0.3992, kb_relative_information_score: 1316.398, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4156, predictive_accuracy: 0.4705, prior_entropy: 3.7542, recall: 0.4705, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.8883, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.3848, kappa: 0.3429, kb_relative_information_score: 1142.8924, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3576, predictive_accuracy: 0.4283, prior_entropy: 3.7542, recall: 0.4283, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.193, root_relative_squared_error: 0.9598, scimark_benchmark: 1330.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1323.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.4421, kappa: 0.4089, kb_relative_information_score: 1333.4711, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4287, predictive_accuracy: 0.4794, prior_entropy: 3.7542, recall: 0.4794, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.8849, scimark_benchmark: 1311.5017, usercpu_time_millis: 700, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.4038, kappa: 0.3567, kb_relative_information_score: 1191.844, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3818, predictive_accuracy: 0.4357, prior_entropy: 3.7542, recall: 0.4357, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.8917, scimark_benchmark: 1331.0047, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.4246, kappa: 0.3916, kb_relative_information_score: 1225.9797, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.3953, predictive_accuracy: 0.4693, prior_entropy: 3.7542, recall: 0.4693, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.8811, scimark_benchmark: 1337.4384, usercpu_time_millis: 1390, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.3166, kappa: 0.2834, kb_relative_information_score: 1007.1905, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.2762, predictive_accuracy: 0.4142, prior_entropy: 3.7542, recall: 0.4142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2308, root_relative_squared_error: 1.1477, scimark_benchmark: 1342.6744, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1335.2363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1334.9442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.4597, kappa: 0.4259, kb_relative_information_score: 1402.247, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4439, predictive_accuracy: 0.4935, prior_entropy: 3.7542, recall: 0.4935, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.8694, scimark_benchmark: 1330.4755,

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