OpenML
Supervised Classification on machine_cpu

Supervised Classification on machine_cpu

Task 3599 Supervised Classification machine_cpu 652 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, build_cpu_time: 0.0045, build_memory: 2624031536, f_measure: 0.9516, kappa: 0.8752, kb_relative_information_score: 167.1231, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.8417, recall: 0.9522, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4567, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 0.0191, build_memory: 568988756.4402, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 161.0432, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4833, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, build_cpu_time: 0.0171, build_memory: 1179813072.4976, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 161.0432, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4833, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, build_cpu_time: 0.0349, build_memory: 3184278215.8469, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 160.0737, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4868, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, build_cpu_time: 0.0672, build_memory: 227861582.6603, f_measure: 0.933, kappa: 0.8292, kb_relative_information_score: 161.2791, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.933, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4814, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 3.0906, build_memory: 630608701.7033, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 157.7861, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4785, scimark_benchmark: 933.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, build_cpu_time: 1.5958, build_memory: 684771583.6555, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 157.5841, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4779, scimark_benchmark: 901.2129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 0.9139, build_memory: 905496552.9187, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 157.8994, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4763, scimark_benchmark: 912.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.5333, build_memory: 3052911047.311, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 158.5929, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4734, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, build_cpu_time: 0.1995, build_memory: 1463085711.1196, f_measure: 0.9472, kappa: 0.8651, kb_relative_information_score: 159.9441, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4678, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.0034, build_memory: 849246147.9043, f_measure: 0.8741, kappa: 0.6755, kb_relative_information_score: 142.9139, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8734, predictive_accuracy: 0.8756, prior_entropy: 0.8417, recall: 0.8756, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5906, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 0.0033, build_memory: 348254587.445, f_measure: 0.8741, kappa: 0.6755, kb_relative_information_score: 142.9139, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8734, predictive_accuracy: 0.8756, prior_entropy: 0.8417, recall: 0.8756, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5906, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.0069, build_memory: 797604720.1148, f_measure: 0.8953, kappa: 0.7347, kb_relative_information_score: 140.9975, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8961, predictive_accuracy: 0.8947, prior_entropy: 0.8417, recall: 0.8947, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6217, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.0069, build_memory: 719569210.488, f_measure: 0.8953, kappa: 0.7347, kb_relative_information_score: 140.9975, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8961, predictive_accuracy: 0.8947, prior_entropy: 0.8417, recall: 0.8947, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6217, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, build_cpu_time: 0.0109, build_memory: 632059851.9426, f_measure: 0.8858, kappa: 0.7106, kb_relative_information_score: 139.2855, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8866, predictive_accuracy: 0.8852, prior_entropy: 0.8417, recall: 0.8852, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.623, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 0.0201, build_memory: 1269345077.8947, f_measure: 0.8903, kappa: 0.7211, kb_relative_information_score: 136.6617, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8906, predictive_accuracy: 0.89, prior_entropy: 0.8417, recall: 0.89, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2712, root_relative_squared_error: 0.6122, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, build_cpu_time: 0.031, build_memory: 203774108.134, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 162.4183, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4659, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, build_cpu_time: 0.0272, build_memory: 158374433.0718, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 162.4183, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4659, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 0.0498, build_memory: 480113845.3206, f_measure: 0.9432, kappa: 0.8569, kb_relative_information_score: 167.966, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9446, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5165, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 0.0069, build_memory: 490572842.1053, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 168.2254, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5845, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 0.0073, build_memory: 438016233.1866, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 168.2254, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5845, scimark_benchmark: 929.8333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, build_cpu_time: 0.0072, build_memory: 435127986.1435, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 168.2254, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5845, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.0226, build_memory: 42909563.3684, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 164.9963, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5044, scimark_benchmark: 916.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.0291, build_memory: 177239255.0048, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 164.9963, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5044, scimark_benchmark: 944.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.0298, build_memory: 232073308.5933, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 164.9963, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5044, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, build_cpu_time: 0.0297, build_memory: 99929082.1818, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 164.9963, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5044, scimark_benchmark: 936.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, build_cpu_time: 0.0054, build_memory: 184510901.244, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 171.1149, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.5062, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, build_cpu_time: 0.0049, build_memory: 256686206.1627, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 171.1149, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.5062, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 15.2658, build_memory: 2779663639.8086, f_measure: 0.9472, kappa: 0.8651, kb_relative_information_score: 167.3656, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9471, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4692, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, build_cpu_time: 27.1324, build_memory: 434967026.9091, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 166.2655, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4732, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.0261, build_memory: 719199763.7895, f_measure: 0.9008, kappa: 0.7509, kb_relative_information_score: 123.8642, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9033, predictive_accuracy: 0.8995, prior_entropy: 0.8417, recall: 0.8995, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.6077, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, build_cpu_time: 0.0136, build_memory: 170145374.622, f_measure: 0.9008, kappa: 0.7509, kb_relative_information_score: 123.1234, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9033, predictive_accuracy: 0.8995, prior_entropy: 0.8417, recall: 0.8995, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.613, scimark_benchmark: 895.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, build_cpu_time: 0.007, build_memory: 126847746.7943, f_measure: 0.9058, kappa: 0.7641, kb_relative_information_score: 124.24, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.909, predictive_accuracy: 0.9043, prior_entropy: 0.8417, recall: 0.9043, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.6177, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, build_cpu_time: 0.2235, build_memory: 1470565255.2727, f_measure: 0.9372, kappa: 0.8387, kb_relative_information_score: 170.1462, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9372, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.5571, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 0.0069, build_memory: 443767337.7225, f_measure: 0.8814, kappa: 0.7002, kb_relative_information_score: 125.6078, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8827, predictive_accuracy: 0.8804, prior_entropy: 0.8417, recall: 0.8804, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.6258, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, build_cpu_time: 0.0037, build_memory: 3446252243.177, f_measure: 0.8964, kappa: 0.7405, kb_relative_information_score: 125.9895, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8997, predictive_accuracy: 0.8947, prior_entropy: 0.8417, recall: 0.8947, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.6181, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, build_cpu_time: 0.5927, build_memory: 202973348.1722, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 162.1193, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4525, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, build_cpu_time: 1.0269, build_memory: 933759783.6555, f_measure: 0.9419, kappa: 0.8503, kb_relative_information_score: 163.3804, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4568, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 1.9245, build_memory: 382828896.1914, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 162.0209, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4618, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, build_cpu_time: 3.8334, build_memory: 657183900.134, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 162.6673, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4575, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, build_cpu_time: 7.472, build_memory: 1444374404.0574, f_measure: 0.9469, kappa: 0.8635, kb_relative_information_score: 162.4523, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9469, predictive_accuracy: 0.9474, prior_entropy: 0.8417, recall: 0.9474, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4575, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, build_cpu_time: 0.8524, build_memory: 491336146.488, f_measure: 0.9284, kappa: 0.8181, kb_relative_information_score: 166.4171, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9287, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.6041, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, build_cpu_time: 0.3635, build_memory: 943845870.7751, f_measure: 0.9284, kappa: 0.8181, kb_relative_information_score: 167.0058, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9287, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5952, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, build_cpu_time: 0.2546, build_memory: 84191817.799, f_measure: 0.9234, kappa: 0.8049, kb_relative_information_score: 163.9753, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9234, predictive_accuracy: 0.9234, prior_entropy: 0.8417, recall: 0.9234, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.619, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, build_cpu_time: 0.1341, build_memory: 607920923.2919, f_measure: 0.928, kappa: 0.816, kb_relative_information_score: 168.0357, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9279, predictive_accuracy: 0.9282, prior_entropy: 0.8417, recall: 0.9282, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5835, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, build_cpu_time: 0.2143, build_memory: 1245752522.3349, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 155.7776, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.485, scimark_benchmark: 931.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 5.1013, build_memory: 496917916.3636, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 156.1164, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.213, root_relative_squared_error: 0.481, scimark_benchmark: 941.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, build_cpu_time: 0.0921, build_memory: 95985467.8278, f_measure: 0.9368, kappa: 0.8368, kb_relative_information_score: 159.1937, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9373, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4743, scimark_benchmark: 943.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, build_cpu_time: 0.0763, build_memory: 1066336446.5455, f_measure: 0.9326, kappa: 0.8273, kb_relative_information_score: 157.9115, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9324, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4786, scimark_benchmark: 926.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, build_cpu_time: 0.0744, build_memory: 262003371.177, f_measure: 0.9326, kappa: 0.8273, kb_relative_information_score: 157.9115, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9324, predictive_accuracy: 0.933, prior_entropy: 0.8417, recall: 0.933, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4786, scimark_benchmark: 937.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 0.0375, build_memory: 800824543.4258, f_measure: 0.9376, kappa: 0.8405, kb_relative_information_score: 157.8889, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4723, scimark_benchmark: 930.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 0.041, build_memory: 129976264.9187, f_measure: 0.9422, kappa: 0.852, kb_relative_information_score: 159.8773, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9421, predictive_accuracy: 0.9426, prior_entropy: 0.8417, recall: 0.9426, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4645, scimark_benchmark: 945.1734,

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