Task
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
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  • mythbusting_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.5516, kappa: 0.0307, kb_relative_information_score: 1.1243, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6973, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.6037, kappa: 0.103, kb_relative_information_score: 13.9945, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6424, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5359, f_measure: 0.5533, kappa: 0.037, kb_relative_information_score: 25.433, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7816, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5918, kappa: 0.0738, kb_relative_information_score: 7.8912, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6143, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5463, kappa: 0.0247, kb_relative_information_score: 19.9177, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7802, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.6219, kappa: 0.1262, kb_relative_information_score: 9.5111, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6215, predictive_accuracy: 0.6563, prior_entropy: 0.9204, recall: 0.6563, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.6317, kappa: 0.1502, kb_relative_information_score: 14.8604, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6398, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4917, root_relative_squared_error: 1.0423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 10.0796, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: 19.1709, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.477, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.532, kb_relative_information_score: 0.5314, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5392, kappa: 0.0124, kb_relative_information_score: -0.9575, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7788, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.6294, kappa: 0.1456, kb_relative_information_score: 12.2496, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5533, kappa: 0.037, kb_relative_information_score: 71.2734, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7816, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.624, kappa: 0.1387, kb_relative_information_score: 26.8698, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6474, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5345, kappa: -0.0062, kb_relative_information_score: 3.6033, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5259, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.532, kb_relative_information_score: 3.7672, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.6288, kappa: 0.142, kb_relative_information_score: 15.1873, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6299, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1048, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5652, kappa: 0.1244, kb_relative_information_score: -25.2993, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6199, predictive_accuracy: 0.5531, prior_entropy: 0.9204, recall: 0.5531, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6554, kappa: 0.2065, kb_relative_information_score: 25.546, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6772, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5447, kappa: 0.0185, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6681, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5623, kappa: 0.079, kb_relative_information_score: -18.2049, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5928, predictive_accuracy: 0.55, prior_entropy: 0.9204, recall: 0.55, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.6265, kappa: 0.1548, kb_relative_information_score: 11.3302, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6864, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5093, f_measure: 0.5463, kappa: 0.0247, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7802, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.5827, kappa: 0.0877, kb_relative_information_score: -11.8959, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5946, predictive_accuracy: 0.575, prior_entropy: 0.9204, recall: 0.575, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.6341, kappa: 0.1587, kb_relative_information_score: 19.1709, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6528, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.6109, kappa: 0.1121, kb_relative_information_score: 14.2435, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6355, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.6303, kappa: 0.1453, kb_relative_information_score: 18.9839, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6288, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.6265, kappa: 0.1375, kb_relative_information_score: 16.4988, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6218, predictive_accuracy: 0.65, prior_entropy: 0.9204, recall: 0.65, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5615, kappa: 0.1271, kb_relative_information_score: -20.3569, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.623, predictive_accuracy: 0.55, prior_entropy: 0.9204, recall: 0.55, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, f_measure: 0.5951, kappa: 0.0653, kb_relative_information_score: 2.3146, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5863, predictive_accuracy: 0.6188, prior_entropy: 0.9204, recall: 0.6188, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.5466, kappa: 0.0121, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5878, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1922.3298, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.579, kappa: 0.0719, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6746, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, scimark_benchmark: 1922.3298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1922.3298, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5775, kappa: 0.0523, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6089, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1280.301, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5775, kappa: 0.0523, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6089, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1402.9349, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1347.8728, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.5466, kappa: 0.0121, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5878, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, scimark_benchmark: 1663.2976, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.579, kappa: 0.0719, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6746, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, scimark_benchmark: 1641.7916, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.532, kb_relative_information_score: -7.3186, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.0195, scimark_benchmark: 1423.5846, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.532, kb_relative_information_score: -6.9078, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0191, scimark_benchmark: 1277.226, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, scimark_benchmark: 1046.6822, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1159.9701, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.532, kb_relative_information_score: 15.2526, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0178, scimark_benchmark: 887.3281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.532, kb_relative_information_score: -7.209, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0221, scimark_benchmark: 890.0631, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4604, f_measure: 0.532, kb_relative_information_score: -13.5457, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.016, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0326, scimark_benchmark: 923.7394, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -8.0837, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0234, scimark_benchmark: 1300.1528, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 8.8482, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6707, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0115, scimark_benchmark: 1306.9957, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.6336, kappa: 0.1535, kb_relative_information_score: 14.732, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6374, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0163, scimark_benchmark: 1273.2625, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5447, kappa: 0.0185, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6681, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, scimark_benchmark: 1542.7682, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1130.9881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 24.2425, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6707, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9738, scimark_benchmark: 1515.524, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.6113, kappa: 0.1203, kb_relative_information_score: 79.6533, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.657, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5646, root_relative_squared_error: 1.1967, scimark_benchmark: 797.1143, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.5918, kappa: 0.0738, kb_relative_information_score: 7.8912, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6143, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0071, scimark_benchmark: 1037.9431, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5463, kappa: 0.0247, kb_relative_information_score: 19.9177, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.7802, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.012, scimark_benchmark: 935.2923, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 968.5641, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.559, kappa: 0.0236, kb_relative_information_score: 2.5993, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5892, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0115, scimark_benchmark: 968.4438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.6523, kappa: 0.1976, kb_relative_information_score: 36.0032, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6496, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0768, scimark_benchmark: 1362.9935, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161, scimark_benchmark: 1235.2913,

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