OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 4571 Supervised Classification primary-tumor 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7873, kappa: 0.3899, kb_relative_information_score: 1523.734, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8165, prior_entropy: 0.8101, recall: 0.8165, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9922, scimark_benchmark: 1320.2063, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.838, kappa: 0.5541, kb_relative_information_score: 1473.7816, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8367, predictive_accuracy: 0.8431, prior_entropy: 0.8101, recall: 0.8431, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.8049, scimark_benchmark: 942.9708, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7843, kappa: 0.4008, kb_relative_information_score: 1000.4668, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.781, predictive_accuracy: 0.7941, prior_entropy: 0.8101, recall: 0.7941, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9193, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1352.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8497, kappa: 0.5859, kb_relative_information_score: 991.7835, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7899, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8198, kappa: 0.4984, kb_relative_information_score: 1211.5147, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8193, predictive_accuracy: 0.8286, prior_entropy: 0.8101, recall: 0.8286, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8217, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1360.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8492, kappa: 0.5822, kb_relative_information_score: 1463.7855, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8495, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7687, scimark_benchmark: 915.9324, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8467, kappa: 0.5746, kb_relative_information_score: 1378.403, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8472, predictive_accuracy: 0.8534, prior_entropy: 0.8101, recall: 0.8534, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7864, scimark_benchmark: 1352.2099, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8495, kappa: 0.586, kb_relative_information_score: 1537.8037, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8485, predictive_accuracy: 0.854, prior_entropy: 0.8101, recall: 0.854, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7655, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8497, kappa: 0.5859, kb_relative_information_score: 991.7835, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7899, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.757, kappa: 0.3679, kb_relative_information_score: 698.4161, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.766, predictive_accuracy: 0.7507, prior_entropy: 0.8101, recall: 0.7507, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.881, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 1337.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 942.2229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.8462, kappa: 0.5733, kb_relative_information_score: 1890.8395, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8465, predictive_accuracy: 0.8528, prior_entropy: 0.8101, recall: 0.8528, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8887, scimark_benchmark: 1320.9026, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.8126, kappa: 0.4822, kb_relative_information_score: 1185.434, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8104, predictive_accuracy: 0.8195, prior_entropy: 0.8101, recall: 0.8195, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8859, scimark_benchmark: 1317.0962, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8396, kappa: 0.5495, kb_relative_information_score: 1773.7255, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8445, predictive_accuracy: 0.8501, prior_entropy: 0.8101, recall: 0.8501, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.8495, scimark_benchmark: 885.0921, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7714, kappa: 0.3423, kb_relative_information_score: 736.0915, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8132, predictive_accuracy: 0.8089, prior_entropy: 0.8101, recall: 0.8089, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8439, scimark_benchmark: 1327.5791, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7719, kappa: 0.3437, kb_relative_information_score: 731.6558, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8135, predictive_accuracy: 0.8091, prior_entropy: 0.8101, recall: 0.8091, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.845, scimark_benchmark: 883.2709, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7634, kappa: 0.3191, kb_relative_information_score: 718.8305, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8086, predictive_accuracy: 0.8041, prior_entropy: 0.8101, recall: 0.8041, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.8482, scimark_benchmark: 1320.9366, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.86, kappa: 0.6172, kb_relative_information_score: 1657.8511, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.859, predictive_accuracy: 0.8631, prior_entropy: 0.8101, recall: 0.8631, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7497, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8463, kappa: 0.5777, kb_relative_information_score: 1562.0107, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8451, predictive_accuracy: 0.8507, prior_entropy: 0.8101, recall: 0.8507, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7608, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8437, kappa: 0.5664, kb_relative_information_score: 1034.821, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8439, predictive_accuracy: 0.8504, prior_entropy: 0.8101, recall: 0.8504, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7926, scimark_benchmark: 943.1756, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8198, kappa: 0.4984, kb_relative_information_score: 1211.5147, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8193, predictive_accuracy: 0.8286, prior_entropy: 0.8101, recall: 0.8286, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8217, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8105, kappa: 0.4799, kb_relative_information_score: 878.4703, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.808, predictive_accuracy: 0.8156, prior_entropy: 0.8101, recall: 0.8156, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.8591, scimark_benchmark: 1314.0383, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.833, kappa: 0.5415, kb_relative_information_score: 1539.5341, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8312, predictive_accuracy: 0.8375, prior_entropy: 0.8101, recall: 0.8375, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.8621, scimark_benchmark: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7961, kappa: 0.4295, kb_relative_information_score: 1231.0994, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.7949, predictive_accuracy: 0.808, prior_entropy: 0.8101, recall: 0.808, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8856, scimark_benchmark: 1317.0962, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.8139, kappa: 0.4877, kb_relative_information_score: 1425.3647, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8116, predictive_accuracy: 0.8198, prior_entropy: 0.8101, recall: 0.8198, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9299, scimark_benchmark: 854.6529, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.7959, kappa: 0.438, kb_relative_information_score: 1380.4733, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.7928, predictive_accuracy: 0.8024, prior_entropy: 0.8101, recall: 0.8024, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.0297, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.8385, kappa: 0.5474, kb_relative_information_score: 1846.0706, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.842, predictive_accuracy: 0.8484, prior_entropy: 0.8101, recall: 0.8484, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.9019, scimark_benchmark: 1316.8289, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7513, kappa: 0.3221, kb_relative_information_score: 463.1502, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.7478, predictive_accuracy: 0.7558, prior_entropy: 0.8101, recall: 0.7558, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9255, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8432, kappa: 0.5646, kb_relative_information_score: 1261.5744, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8436, predictive_accuracy: 0.8501, prior_entropy: 0.8101, recall: 0.8501, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.782, scimark_benchmark: 789.1062, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.8216, kappa: 0.5113, kb_relative_information_score: 1134.0895, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8195, predictive_accuracy: 0.826, prior_entropy: 0.8101, recall: 0.826, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.8806, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8497, kappa: 0.5859, kb_relative_information_score: 991.7835, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8489, predictive_accuracy: 0.8546, prior_entropy: 0.8101, recall: 0.8546, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7899, scimark_benchmark: 1301.2156, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8492, kappa: 0.5822, kb_relative_information_score: 1463.7855, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8495, predictive_accuracy: 0.8555, prior_entropy: 0.8101, recall: 0.8555, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.7687, scimark_benchmark: 1288.1375, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.772, kappa: 0.3735, kb_relative_information_score: 950.8646, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.7681, predictive_accuracy: 0.7785, prior_entropy: 0.8101, recall: 0.7785, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4457, root_relative_squared_error: 1.0324, scimark_benchmark: 1248.0234, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8437, kappa: 0.5651, kb_relative_information_score: 1292.6808, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8449, predictive_accuracy: 0.8513, prior_entropy: 0.8101, recall: 0.8513, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7818, scimark_benchmark: 1327.8711, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.8074, kappa: 0.4777, kb_relative_information_score: 1265.0388, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8057, predictive_accuracy: 0.8097, prior_entropy: 0.8101, recall: 0.8097, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9281, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.8066, kappa: 0.4693, kb_relative_information_score: 1047.1833, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.804, predictive_accuracy: 0.8118, prior_entropy: 0.8101, recall: 0.8118, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.374, root_relative_squared_error: 0.8663, scimark_benchmark: 1321.527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8095, kappa: 0.473, kb_relative_information_score: 1130.7403, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8073, predictive_accuracy: 0.8168, prior_entropy: 0.8101, recall: 0.8168, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8798, scimark_benchmark: 1359.379, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.8133, kappa: 0.4935, kb_relative_information_score: 1514.7802, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8116, predictive_accuracy: 0.8156, prior_entropy: 0.8101, recall: 0.8156, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9946, scimark_benchmark: 1359.379, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6619, kappa: 0.2818, kb_relative_information_score: -287.9171, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.7709, predictive_accuracy: 0.6375, prior_entropy: 0.8101, recall: 0.6375, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.6021, root_relative_squared_error: 1.3946, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8167, kappa: 0.4925, kb_relative_information_score: 1278.5127, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8149, predictive_accuracy: 0.8239, prior_entropy: 0.8101, recall: 0.8239, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.8442, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.7553, kappa: 0.3463, kb_relative_information_score: 893.9838, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.7564, predictive_accuracy: 0.7543, prior_entropy: 0.8101, recall: 0.7543, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.1482, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.8222, kappa: 0.5111, kb_relative_information_score: 1634.1641, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8201, predictive_accuracy: 0.8274, prior_entropy: 0.8101, recall: 0.8274, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.9622, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.6458, kb_relative_information_score: -8.2134, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.5658, predictive_accuracy: 0.7522, prior_entropy: 0.8101, recall: 0.7522, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.4318, root_relative_squared_error: 1.0001, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7826, kappa: 0.397, kb_relative_information_score: 979.7857, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.779, predictive_accuracy: 0.7917, prior_entropy: 0.8101, recall: 0.7917, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9239, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.3658, build_memory: 1458315461.5316, f_measure: 0.8626, kappa: 0.625, kb_relative_information_score: 2010.4098, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8615, predictive_accuracy: 0.8652, prior_entropy: 0.8101, recall: 0.8652, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8385, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.1946, build_memory: 1257841853.6944, f_measure: 0.8632, kappa: 0.6276, kb_relative_information_score: 2010.2793, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8621, predictive_accuracy: 0.8655, prior_entropy: 0.8101, recall: 0.8655, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.8347, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, build_cpu_time: 0.1394, build_memory: 861019000.3115, f_measure: 0.8588, kappa: 0.6152, kb_relative_information_score: 1972.8148, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8576, predictive_accuracy: 0.8614, prior_entropy: 0.8101, recall: 0.8614, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.838, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, build_cpu_time: 0.0959, build_memory: 704673262.9239, f_measure: 0.8562, kappa: 0.6083, kb_relative_information_score: 1935.9301, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.855, predictive_accuracy: 0.8587, prior_entropy: 0.8101, recall: 0.8587, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.365, root_relative_squared_error: 0.8454, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, build_cpu_time: 0.0526, build_memory: 1202445940.682, f_measure: 0.8487, kappa: 0.5873, kb_relative_information_score: 1889.655, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8473, predictive_accuracy: 0.8516, prior_entropy: 0.8101, recall: 0.8516, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8566, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, build_cpu_time: 1.5315, build_memory: 365405112.5215, f_measure: 0.8349, kappa: 0.5428, kb_relative_information_score: 1251.609, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8343, predictive_accuracy: 0.8416, prior_entropy: 0.8101, recall: 0.8416, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.789, scimark_benchmark: 827.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, build_cpu_time: 0.2501, build_memory: 170778281.5811, f_measure: 0.8165, kappa: 0.4898, kb_relative_information_score: 1181.2599, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8154, predictive_accuracy: 0.8251, prior_entropy: 0.8101, recall: 0.8251, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.801, scimark_benchmark: 938.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, build_cpu_time: 0.14, build_memory: 957356199.0914, f_measure: 0.8162, kappa: 0.4892, kb_relative_information_score: 1178.2292, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8151, predictive_accuracy: 0.8248, prior_entropy: 0.8101, recall: 0.8248, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8022, scimark_benchmark: 940.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, build_cpu_time: 0.0776, build_memory: 57372507.9811, f_measure: 0.8137, kappa: 0.4826, kb_relative_information_score: 1177.1499, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8123, predictive_accuracy: 0.8221, prior_entropy: 0.8101, recall: 0.8221, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.8029, scimark_benchmark: 936.4099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, build_cpu_time: 0.0388, build_memory: 1079687370.3481, f_measure: 0.8103, kappa: 0.4736, kb_relative_information_score: 1157.585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.3735, number_of_instances: 3390, precision: 0.8085, predictive_accuracy: 0.8186, prior_entropy: 0.8101, recall: 0.8186, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4317, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.8102, scimark_benchmark: 947.9617,

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