Task
Supervised Classification on sensory

Supervised Classification on sensory

Task 3691 Supervised Classification sensory 531 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, build_cpu_time: 0.0443, build_memory: 3246964233.9444, f_measure: 0.707, kappa: 0.3929, kb_relative_information_score: 143.3995, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7071, predictive_accuracy: 0.7101, prior_entropy: 0.9792, recall: 0.7101, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9047, scimark_benchmark: 899.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, build_cpu_time: 0.0786, build_memory: 1222318703.6111, f_measure: 0.7043, kappa: 0.3879, kb_relative_information_score: 144.9435, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7039, predictive_accuracy: 0.7066, prior_entropy: 0.9792, recall: 0.7066, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8949, scimark_benchmark: 945.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, build_cpu_time: 0.1621, build_memory: 1257512085.7639, f_measure: 0.708, kappa: 0.3946, kb_relative_information_score: 145.7602, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7087, predictive_accuracy: 0.7118, prior_entropy: 0.9792, recall: 0.7118, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8912, scimark_benchmark: 941.4537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, build_cpu_time: 0.2323, build_memory: 233647057.1528, f_measure: 0.7137, kappa: 0.4067, kb_relative_information_score: 146.0911, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7142, predictive_accuracy: 0.717, prior_entropy: 0.9792, recall: 0.717, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8891, scimark_benchmark: 925.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, build_cpu_time: 4.2027, build_memory: 283996867.7639, f_measure: 0.6998, kappa: 0.3773, kb_relative_information_score: 120.8564, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7065, predictive_accuracy: 0.7083, prior_entropy: 0.9792, recall: 0.7083, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9043, scimark_benchmark: 899.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, build_cpu_time: 2.4455, build_memory: 115747223.9028, f_measure: 0.699, kappa: 0.3756, kb_relative_information_score: 121.0194, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7041, predictive_accuracy: 0.7066, prior_entropy: 0.9792, recall: 0.7066, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9053, scimark_benchmark: 944.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, build_cpu_time: 0.0558, build_memory: 349450847.7361, f_measure: 0.6871, kappa: 0.3509, kb_relative_information_score: 194.5684, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6888, predictive_accuracy: 0.6927, prior_entropy: 0.9792, recall: 0.6927, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0391, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.0941, build_memory: 126246683.6806, f_measure: 0.6839, kappa: 0.3444, kb_relative_information_score: 190.8808, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6852, predictive_accuracy: 0.6892, prior_entropy: 0.9792, recall: 0.6892, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0513, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, build_cpu_time: 0.1709, build_memory: 1081986210.3611, f_measure: 0.6887, kappa: 0.3542, kb_relative_information_score: 192.6871, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6906, predictive_accuracy: 0.6944, prior_entropy: 0.9792, recall: 0.6944, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0526, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, build_cpu_time: 0.2713, build_memory: 922777119.1111, f_measure: 0.6834, kappa: 0.3436, kb_relative_information_score: 196.3003, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6836, predictive_accuracy: 0.6875, prior_entropy: 0.9792, recall: 0.6875, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.0619, scimark_benchmark: 940.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, build_cpu_time: 0.6158, build_memory: 109077704.6111, f_measure: 0.6916, kappa: 0.3613, kb_relative_information_score: 207.2728, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6913, predictive_accuracy: 0.6944, prior_entropy: 0.9792, recall: 0.6944, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0638, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, build_cpu_time: 42.6056, build_memory: 2223620612.4861, f_measure: 0.6967, kappa: 0.3718, kb_relative_information_score: 146.7675, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6965, predictive_accuracy: 0.6997, prior_entropy: 0.9792, recall: 0.6997, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9067, scimark_benchmark: 947.2115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, build_cpu_time: 21.1848, build_memory: 1564805144.9306, f_measure: 0.6973, kappa: 0.3734, kb_relative_information_score: 147.0519, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6968, predictive_accuracy: 0.6997, prior_entropy: 0.9792, recall: 0.6997, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9081, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, build_cpu_time: 11.8146, build_memory: 92828661.9167, f_measure: 0.7032, kappa: 0.3862, kb_relative_information_score: 148.078, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7026, predictive_accuracy: 0.7049, prior_entropy: 0.9792, recall: 0.7049, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.909, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 5.2832, build_memory: 2446275585.0556, f_measure: 0.6916, kappa: 0.3628, kb_relative_information_score: 145.6137, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6909, predictive_accuracy: 0.6927, prior_entropy: 0.9792, recall: 0.6927, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9185, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 3.1036, build_memory: 2469413037.7361, f_measure: 0.6792, kappa: 0.3372, kb_relative_information_score: 146.6569, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6785, predictive_accuracy: 0.6806, prior_entropy: 0.9792, recall: 0.6806, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9173, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, build_cpu_time: 0.0019, build_memory: 1018195849.2222, f_measure: 0.6477, kappa: 0.2694, kb_relative_information_score: 49.9311, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6518, predictive_accuracy: 0.658, prior_entropy: 0.9792, recall: 0.658, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9574, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, build_cpu_time: 0.003, build_memory: 1407919751.8472, f_measure: 0.6525, kappa: 0.279, kb_relative_information_score: 54.1838, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6539, predictive_accuracy: 0.6597, prior_entropy: 0.9792, recall: 0.6597, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9557, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, build_cpu_time: 1.8209, build_memory: 1789706788.8056, f_measure: 0.6287, kappa: 0.2297, kb_relative_information_score: 125.1, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6298, predictive_accuracy: 0.6372, prior_entropy: 0.9792, recall: 0.6372, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0987, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, build_cpu_time: 0.0101, build_memory: 1623909732.0972, f_measure: 0.654, kappa: 0.2822, kb_relative_information_score: 53.573, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6557, predictive_accuracy: 0.6615, prior_entropy: 0.9792, recall: 0.6615, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9548, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, build_cpu_time: 0.0172, build_memory: 1587681400.2361, f_measure: 0.654, kappa: 0.2822, kb_relative_information_score: 53.5295, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6557, predictive_accuracy: 0.6615, prior_entropy: 0.9792, recall: 0.6615, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9539, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, build_cpu_time: 0.0314, build_memory: 723666177.0833, f_measure: 0.654, kappa: 0.2822, kb_relative_information_score: 54.3409, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6557, predictive_accuracy: 0.6615, prior_entropy: 0.9792, recall: 0.6615, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9529, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, build_cpu_time: 782.7988, build_memory: 100019685.25, f_measure: 0.7032, kappa: 0.3843, kb_relative_information_score: 155.6671, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7052, predictive_accuracy: 0.7083, prior_entropy: 0.9792, recall: 0.7083, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8963, scimark_benchmark: 941.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, build_cpu_time: 307.294, build_memory: 77142163.7222, f_measure: 0.6977, kappa: 0.3729, kb_relative_information_score: 156.2604, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6997, predictive_accuracy: 0.7031, prior_entropy: 0.9792, recall: 0.7031, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8971, scimark_benchmark: 902.1678,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, build_cpu_time: 0.0188, build_memory: 170253330.0694, f_measure: 0.676, kappa: 0.3308, kb_relative_information_score: 185.3617, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6753, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5628, root_relative_squared_error: 1.1422, scimark_benchmark: 932.5791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, build_cpu_time: 0.0487, build_memory: 867821708.9861, f_measure: 0.6252, kappa: 0.2226, kb_relative_information_score: 59.2963, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6274, predictive_accuracy: 0.6354, prior_entropy: 0.9792, recall: 0.6354, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9684, scimark_benchmark: 905.0866,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, build_cpu_time: 0.2501, build_memory: 104705679.8611, f_measure: 0.697, kappa: 0.3715, kb_relative_information_score: 131.8356, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7023, predictive_accuracy: 0.7049, prior_entropy: 0.9792, recall: 0.7049, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9063, scimark_benchmark: 947.2295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, build_cpu_time: 0.0377, build_memory: 684873825.4722, f_measure: 0.6434, kappa: 0.2601, kb_relative_information_score: 147.3634, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6447, predictive_accuracy: 0.651, prior_entropy: 0.9792, recall: 0.651, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1578, scimark_benchmark: 934.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, build_cpu_time: 0.0001, build_memory: 198688467.3889, f_measure: 0.6232, kappa: 0.2184, kb_relative_information_score: 61.6977, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6255, predictive_accuracy: 0.6337, prior_entropy: 0.9792, recall: 0.6337, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9689, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, build_cpu_time: 0.0376, build_memory: 26665885.1667, f_measure: 0.6354, kappa: 0.2435, kb_relative_information_score: 67.4553, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.637, predictive_accuracy: 0.6441, prior_entropy: 0.9792, recall: 0.6441, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9672, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, build_cpu_time: 0.081, build_memory: 31712157.4028, f_measure: 0.6288, kappa: 0.23, kb_relative_information_score: 142.1225, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6312, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.6009, root_relative_squared_error: 1.2196, scimark_benchmark: 915.7861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.0001, build_memory: 945898501.8056, f_measure: 0.6454, kappa: 0.2688, kb_relative_information_score: 152.7061, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.645, predictive_accuracy: 0.6458, prior_entropy: 0.9792, recall: 0.6458, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1893, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, build_cpu_time: 0.0259, build_memory: 30396298.5417, f_measure: 0.6714, kappa: 0.3183, kb_relative_information_score: 100.9689, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6724, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9537, scimark_benchmark: 945.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, build_cpu_time: 0.0805, build_memory: 569119830.4028, f_measure: 0.6732, kappa: 0.3226, kb_relative_information_score: 113.4955, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.673, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9168, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, build_cpu_time: 0.0042, build_memory: 948536144.0556, f_measure: 0.69, kappa: 0.3581, kb_relative_information_score: 131.7319, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6896, predictive_accuracy: 0.6927, prior_entropy: 0.9792, recall: 0.6927, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9113, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, build_cpu_time: 0.0578, build_memory: 109373667.1667, f_measure: 0.7013, kappa: 0.3822, kb_relative_information_score: 145.7843, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7007, predictive_accuracy: 0.7031, prior_entropy: 0.9792, recall: 0.7031, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9294, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 2.5914, build_memory: 684169491.1528, f_measure: 0.6699, kappa: 0.3198, kb_relative_information_score: 187.8732, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6697, predictive_accuracy: 0.6701, prior_entropy: 0.9792, recall: 0.6701, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.0904, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, build_cpu_time: 5.3936, build_memory: 2478167843.5417, f_measure: 0.6889, kappa: 0.3588, kb_relative_information_score: 202.6042, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6887, predictive_accuracy: 0.6892, prior_entropy: 0.9792, recall: 0.6892, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.108, scimark_benchmark: 938.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, build_cpu_time: 10.6328, build_memory: 1649985928.9445, f_measure: 0.6827, kappa: 0.3444, kb_relative_information_score: 193.3583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.682, predictive_accuracy: 0.684, prior_entropy: 0.9792, recall: 0.684, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.129, scimark_benchmark: 913.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, build_cpu_time: 0.1089, build_memory: 381587490.0972, f_measure: 0.6405, kappa: 0.2541, kb_relative_information_score: 67.0246, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6426, predictive_accuracy: 0.6493, prior_entropy: 0.9792, recall: 0.6493, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9675, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.0478, build_memory: 225449165.6111, f_measure: 0.6454, kappa: 0.2688, kb_relative_information_score: 152.7061, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.645, predictive_accuracy: 0.6458, prior_entropy: 0.9792, recall: 0.6458, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.586, root_relative_squared_error: 1.1893, scimark_benchmark: 945.0532,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, build_cpu_time: 0.3694, build_memory: 839127952.1528, f_measure: 0.6634, kappa: 0.3044, kb_relative_information_score: 174.7634, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6626, predictive_accuracy: 0.6649, prior_entropy: 0.9792, recall: 0.6649, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.573, root_relative_squared_error: 1.163, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, build_cpu_time: 0.247, build_memory: 487436666.1111, f_measure: 0.6669, kappa: 0.3116, kb_relative_information_score: 176.2746, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6661, predictive_accuracy: 0.6684, prior_entropy: 0.9792, recall: 0.6684, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5693, root_relative_squared_error: 1.1555, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, build_cpu_time: 0.1055, build_memory: 2855966145.8333, f_measure: 0.6795, kappa: 0.338, kb_relative_information_score: 190.7246, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6788, predictive_accuracy: 0.6806, prior_entropy: 0.9792, recall: 0.6806, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5489, root_relative_squared_error: 1.1141, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, build_cpu_time: 0.0482, build_memory: 325374831.2222, f_measure: 0.6591, kappa: 0.2966, kb_relative_information_score: 169.1251, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6585, predictive_accuracy: 0.6597, prior_entropy: 0.9792, recall: 0.6597, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1265, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, build_cpu_time: 0.0276, build_memory: 1223798194.1389, f_measure: 0.6368, kappa: 0.2489, kb_relative_information_score: 146.7539, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6357, predictive_accuracy: 0.6389, prior_entropy: 0.9792, recall: 0.6389, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1248, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, build_cpu_time: 0.0741, build_memory: 470157579.5417, f_measure: 0.6689, kappa: 0.3132, kb_relative_information_score: 125.8107, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6724, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9559, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 0.1055, build_memory: 2034499348.8611, f_measure: 0.6814, kappa: 0.3395, kb_relative_information_score: 137.5411, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6818, predictive_accuracy: 0.6858, prior_entropy: 0.9792, recall: 0.6858, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9512, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, build_cpu_time: 0.1417, build_memory: 256450000.3889, f_measure: 0.6741, kappa: 0.3241, kb_relative_information_score: 138.5562, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6744, predictive_accuracy: 0.6788, prior_entropy: 0.9792, recall: 0.6788, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9497, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, build_cpu_time: 0.1087, build_memory: 1328070649.125, f_measure: 0.6741, kappa: 0.3241, kb_relative_information_score: 138.5562, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6744, predictive_accuracy: 0.6788, prior_entropy: 0.9792, recall: 0.6788, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9497, scimark_benchmark: 933.4498,

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