Task
Supervised Classification on pbc

Supervised Classification on pbc

Task 3675 Supervised Classification pbc 508 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, build_cpu_time: 0.1859, build_memory: 1528198707.8852, f_measure: 0.6699, kappa: 0.333, kb_relative_information_score: 101.396, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6699, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.905, scimark_benchmark: 912.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, build_cpu_time: 0.4064, build_memory: 3281757940.8612, f_measure: 0.6891, kappa: 0.3723, kb_relative_information_score: 104.105, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6893, predictive_accuracy: 0.689, prior_entropy: 0.9928, recall: 0.689, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8916, scimark_benchmark: 635.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, build_cpu_time: 0.651, build_memory: 1014430872, f_measure: 0.689, kappa: 0.3716, kb_relative_information_score: 104.717, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.689, predictive_accuracy: 0.689, prior_entropy: 0.9928, recall: 0.689, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8877, scimark_benchmark: 939.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, build_cpu_time: 1.2433, build_memory: 398794834.3541, f_measure: 0.6913, kappa: 0.3762, kb_relative_information_score: 104.5474, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6912, predictive_accuracy: 0.6914, prior_entropy: 0.9928, recall: 0.6914, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.886, scimark_benchmark: 946.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, build_cpu_time: 4.4213, build_memory: 64624968.0766, f_measure: 0.7106, kappa: 0.4137, kb_relative_information_score: 110.7301, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7122, predictive_accuracy: 0.7129, prior_entropy: 0.9928, recall: 0.7129, relative_absolute_error: 0.7626, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8717, scimark_benchmark: 942.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, build_cpu_time: 2.3007, build_memory: 122428119.6555, f_measure: 0.704, kappa: 0.4005, kb_relative_information_score: 108.6278, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7047, predictive_accuracy: 0.7057, prior_entropy: 0.9928, recall: 0.7057, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8787, scimark_benchmark: 923.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, build_cpu_time: 0.2141, build_memory: 349911629.4737, f_measure: 0.672, kappa: 0.3355, kb_relative_information_score: 148.5232, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6731, predictive_accuracy: 0.6746, prior_entropy: 0.9928, recall: 0.6746, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0547, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, build_cpu_time: 0.2254, build_memory: 294444719.0622, f_measure: 0.672, kappa: 0.3355, kb_relative_information_score: 148.5232, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6731, predictive_accuracy: 0.6746, prior_entropy: 0.9928, recall: 0.6746, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0547, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, build_cpu_time: 0.2117, build_memory: 463504450.1244, f_measure: 0.672, kappa: 0.3355, kb_relative_information_score: 148.5232, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6731, predictive_accuracy: 0.6746, prior_entropy: 0.9928, recall: 0.6746, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0547, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, build_cpu_time: 0.4049, build_memory: 395595701.2823, f_measure: 0.6745, kappa: 0.3408, kb_relative_information_score: 149.3376, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6755, predictive_accuracy: 0.677, prior_entropy: 0.9928, recall: 0.677, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0723, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, build_cpu_time: 0.5256, build_memory: 86048502.1627, f_measure: 0.6745, kappa: 0.3408, kb_relative_information_score: 149.3376, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6755, predictive_accuracy: 0.677, prior_entropy: 0.9928, recall: 0.677, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0723, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, build_cpu_time: 0.4591, build_memory: 118003619.4067, f_measure: 0.6745, kappa: 0.3408, kb_relative_information_score: 149.3376, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6755, predictive_accuracy: 0.677, prior_entropy: 0.9928, recall: 0.677, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0723, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.731, build_memory: 941883111.4067, f_measure: 0.7063, kappa: 0.4051, kb_relative_information_score: 168.7326, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7071, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0488, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, build_cpu_time: 0.8835, build_memory: 921402978.1053, f_measure: 0.7063, kappa: 0.4051, kb_relative_information_score: 168.7326, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7071, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0488, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 1.732, build_memory: 837009955.8278, f_measure: 0.6974, kappa: 0.3874, kb_relative_information_score: 161.6191, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6975, predictive_accuracy: 0.6986, prior_entropy: 0.9928, recall: 0.6986, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0758, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, build_cpu_time: 3.6047, build_memory: 254907343.0431, f_measure: 0.6956, kappa: 0.3841, kb_relative_information_score: 159.7467, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6954, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.0897, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, build_cpu_time: 55.955, build_memory: 127150557.7799, f_measure: 0.7128, kappa: 0.4194, kb_relative_information_score: 120.8737, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7127, predictive_accuracy: 0.7129, prior_entropy: 0.9928, recall: 0.7129, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8707, scimark_benchmark: 946.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, build_cpu_time: 26.5338, build_memory: 2137952535.4641, f_measure: 0.708, kappa: 0.4097, kb_relative_information_score: 121.7753, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7079, predictive_accuracy: 0.7081, prior_entropy: 0.9928, recall: 0.7081, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8691, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, build_cpu_time: 12.6751, build_memory: 1247353617.4546, f_measure: 0.7249, kappa: 0.4444, kb_relative_information_score: 122.1189, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.725, predictive_accuracy: 0.7249, prior_entropy: 0.9928, recall: 0.7249, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8694, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, build_cpu_time: 8.3646, build_memory: 254560221.3206, f_measure: 0.6789, kappa: 0.3504, kb_relative_information_score: 117.7399, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6786, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8899, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, build_cpu_time: 2.8811, build_memory: 646836363.4641, f_measure: 0.7033, kappa: 0.4006, kb_relative_information_score: 120.2418, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7033, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.898, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, build_cpu_time: 0.0043, build_memory: 859251921.4545, f_measure: 0.6678, kappa: 0.3519, kb_relative_information_score: 72.3241, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6942, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9199, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, build_cpu_time: 0.0029, build_memory: 269972478.3349, f_measure: 0.677, kappa: 0.3608, kb_relative_information_score: 72.5801, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6914, predictive_accuracy: 0.677, prior_entropy: 0.9928, recall: 0.677, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9165, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, build_cpu_time: 0.9248, build_memory: 1794526447.8086, f_measure: 0.7108, kappa: 0.4166, kb_relative_information_score: 160.3777, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7113, predictive_accuracy: 0.7105, prior_entropy: 0.9928, recall: 0.7105, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9891, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, build_cpu_time: 0.0079, build_memory: 444052585.9522, f_measure: 0.6789, kappa: 0.3671, kb_relative_information_score: 71.5866, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6966, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9162, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, build_cpu_time: 0.014, build_memory: 710140624.4019, f_measure: 0.6782, kappa: 0.3689, kb_relative_information_score: 72.7477, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7002, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9122, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, build_cpu_time: 0.8878, build_memory: 121095978.7177, f_measure: 0.6966, kappa: 0.3882, kb_relative_information_score: 131.5772, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6974, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9138, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, build_cpu_time: 0.0264, build_memory: 463918048.823, f_measure: 0.686, kappa: 0.3815, kb_relative_information_score: 71.8439, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7046, predictive_accuracy: 0.6866, prior_entropy: 0.9928, recall: 0.6866, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9135, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, build_cpu_time: 322.9365, build_memory: 2627618036.3636, f_measure: 0.6898, kappa: 0.3719, kb_relative_information_score: 122.1913, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6901, predictive_accuracy: 0.6914, prior_entropy: 0.9928, recall: 0.6914, relative_absolute_error: 0.7219, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9117, scimark_benchmark: 933.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, build_cpu_time: 127.2793, build_memory: 96764283.5598, f_measure: 0.6896, kappa: 0.3713, kb_relative_information_score: 119.085, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6901, predictive_accuracy: 0.6914, prior_entropy: 0.9928, recall: 0.6914, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9208, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 0.06, build_memory: 429092768.6124, f_measure: 0.6732, kappa: 0.3381, kb_relative_information_score: 139.6468, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6732, predictive_accuracy: 0.6746, prior_entropy: 0.9928, recall: 0.6746, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1279, scimark_benchmark: 937.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 0.0674, build_memory: 750292690.067, f_measure: 0.6732, kappa: 0.3381, kb_relative_information_score: 139.6468, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6732, predictive_accuracy: 0.6746, prior_entropy: 0.9928, recall: 0.6746, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1279, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, build_cpu_time: 0.0429, build_memory: 525034611.2919, f_measure: 0.6732, kappa: 0.3381, kb_relative_information_score: 139.6468, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6732, predictive_accuracy: 0.6746, prior_entropy: 0.9928, recall: 0.6746, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.1279, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, build_cpu_time: 0.1576, build_memory: 1231749093.5502, f_measure: 0.6903, kappa: 0.4017, kb_relative_information_score: 141.3672, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7277, predictive_accuracy: 0.6938, prior_entropy: 0.9928, recall: 0.6938, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9856, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, build_cpu_time: 0.2176, build_memory: 206524797.6842, f_measure: 0.6959, kappa: 0.3853, kb_relative_information_score: 108.249, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6958, predictive_accuracy: 0.6962, prior_entropy: 0.9928, recall: 0.6962, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8731, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.1866, build_memory: 103710628.4019, f_measure: 0.6098, kappa: 0.2113, kb_relative_information_score: 58.9855, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6139, predictive_accuracy: 0.6172, prior_entropy: 0.9928, recall: 0.6172, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9561, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.1893, build_memory: 895151087.9234, f_measure: 0.6098, kappa: 0.2113, kb_relative_information_score: 58.9855, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6139, predictive_accuracy: 0.6172, prior_entropy: 0.9928, recall: 0.6172, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9561, scimark_benchmark: 937.52,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, build_cpu_time: 0.0212, build_memory: 502146607.0431, f_measure: 0.6794, kappa: 0.3523, kb_relative_information_score: 146.0632, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6794, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1381, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, build_cpu_time: 0.0633, build_memory: 1174405861.3014, f_measure: 0.6539, kappa: 0.3044, kb_relative_information_score: 133.8882, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6684, predictive_accuracy: 0.6651, prior_entropy: 0.9928, recall: 0.6651, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5787, root_relative_squared_error: 1.1633, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, build_cpu_time: 0.0004, build_memory: 740331903.0048, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: 86.8635, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6111, predictive_accuracy: 0.61, prior_entropy: 0.9928, recall: 0.61, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.252, scimark_benchmark: 933.1799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.0075, build_memory: 2472944257.1866, f_measure: 0.7041, kappa: 0.4064, kb_relative_information_score: 122.5672, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7081, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9311, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, build_cpu_time: 0.2815, build_memory: 111435374.4689, f_measure: 0.698, kappa: 0.3884, kb_relative_information_score: 149.6544, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.7002, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9729, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, build_cpu_time: 1.0615, build_memory: 196932508.2871, f_measure: 0.6725, kappa: 0.3388, kb_relative_information_score: 136.4618, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6728, predictive_accuracy: 0.6722, prior_entropy: 0.9928, recall: 0.6722, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0793, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, build_cpu_time: 2.1965, build_memory: 2038960511.9617, f_measure: 0.6793, kappa: 0.3517, kb_relative_information_score: 145.6145, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6791, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5406, root_relative_squared_error: 1.0867, scimark_benchmark: 932.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, build_cpu_time: 8.5119, build_memory: 872125924.5167, f_measure: 0.6858, kappa: 0.364, kb_relative_information_score: 151.8591, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6856, predictive_accuracy: 0.6866, prior_entropy: 0.9928, recall: 0.6866, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1141, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 0.2114, build_memory: 416274165.4354, f_measure: 0.72, kappa: 0.4342, kb_relative_information_score: 149.3685, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9928, recall: 0.7201, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8801, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, build_cpu_time: 0.1166, build_memory: 81603666.6029, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: 86.8635, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6111, predictive_accuracy: 0.61, prior_entropy: 0.9928, recall: 0.61, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.252, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, build_cpu_time: 0.0977, build_memory: 503339634.7751, f_measure: 0.6105, kappa: 0.2141, kb_relative_information_score: 86.8635, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6111, predictive_accuracy: 0.61, prior_entropy: 0.9928, recall: 0.61, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6228, root_relative_squared_error: 1.252, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, build_cpu_time: 1.7232, build_memory: 1283086869.8373, f_measure: 0.6791, kappa: 0.3511, kb_relative_information_score: 148.1955, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6789, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1174, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, build_cpu_time: 1.0721, build_memory: 536883203.8278, f_measure: 0.6864, kappa: 0.3659, kb_relative_information_score: 153.2247, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6862, predictive_accuracy: 0.6866, prior_entropy: 0.9928, recall: 0.6866, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5434, root_relative_squared_error: 1.0923, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 0.5238, build_memory: 776606742.201, f_measure: 0.6675, kappa: 0.3285, kb_relative_information_score: 137.441, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6676, predictive_accuracy: 0.6675, prior_entropy: 0.9928, recall: 0.6675, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.1107, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, build_cpu_time: 0.3431, build_memory: 887027995.4258, f_measure: 0.6791, kappa: 0.3511, kb_relative_information_score: 144.7544, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6789, predictive_accuracy: 0.6794, prior_entropy: 0.9928, recall: 0.6794, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0827, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, build_cpu_time: 0.1944, build_memory: 961644871.7703, f_measure: 0.6551, kappa: 0.3026, kb_relative_information_score: 129.3205, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6549, predictive_accuracy: 0.6555, prior_entropy: 0.9928, recall: 0.6555, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0767, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, build_cpu_time: 0.1516, build_memory: 1297348742.6029, f_measure: 0.6576, kappa: 0.3078, kb_relative_information_score: 126.4526, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.6574, predictive_accuracy: 0.6579, prior_entropy: 0.9928, recall: 0.6579, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.956, scimark_benchmark: 906.6607,

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

OpenML bootcamp

From your own software

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

OpenML APIs