Task
Supervised Classification on kc3

Supervised Classification on kc3

Task 4620 Supervised Classification kc3 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, build_cpu_time: 2.1096, build_memory: 468898076.0017, f_measure: 0.88, kappa: 0.2025, kb_relative_information_score: 854.9849, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8713, predictive_accuracy: 0.8983, prior_entropy: 0.4551, recall: 0.8983, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3142, root_relative_squared_error: 1.0771, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, build_cpu_time: 1.1755, build_memory: 82345744.8803, f_measure: 0.8804, kappa: 0.2069, kb_relative_information_score: 881.6696, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8718, predictive_accuracy: 0.8983, prior_entropy: 0.4551, recall: 0.8983, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3113, root_relative_squared_error: 1.0674, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 5.3007, build_memory: 1328433064.7179, f_measure: 0.877, kappa: 0.1837, kb_relative_information_score: 808.0624, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8954, prior_entropy: 0.4551, recall: 0.8954, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0933, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 5.3096, build_memory: 1007445847.7275, f_measure: 0.877, kappa: 0.1837, kb_relative_information_score: 808.0624, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8954, prior_entropy: 0.4551, recall: 0.8954, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3189, root_relative_squared_error: 1.0933, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, build_cpu_time: 8.4582, build_memory: 3008703716.2253, f_measure: 0.8757, kappa: 0.1785, kb_relative_information_score: 694.7825, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8655, predictive_accuracy: 0.8935, prior_entropy: 0.4551, recall: 0.8935, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.1119, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 0.5352, build_memory: 1179858514.1275, f_measure: 0.8851, kappa: 0.2214, kb_relative_information_score: -340.8507, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8808, predictive_accuracy: 0.9063, prior_entropy: 0.4551, recall: 0.9063, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.267, root_relative_squared_error: 0.9153, scimark_benchmark: 898.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.2154, build_memory: 171888740.9642, f_measure: 0.8838, kappa: 0.2222, kb_relative_information_score: -415.3518, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.877, predictive_accuracy: 0.9028, prior_entropy: 0.4551, recall: 0.9028, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.9235, scimark_benchmark: 946.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.2185, build_memory: 140728545.7712, f_measure: 0.8838, kappa: 0.2222, kb_relative_information_score: -415.3518, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.877, predictive_accuracy: 0.9028, prior_entropy: 0.4551, recall: 0.9028, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.9235, scimark_benchmark: 940.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.2104, build_memory: 76320129.462, f_measure: 0.8838, kappa: 0.2222, kb_relative_information_score: -415.3518, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.877, predictive_accuracy: 0.9028, prior_entropy: 0.4551, recall: 0.9028, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.9235, scimark_benchmark: 946.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.209, build_memory: 628527626.3406, f_measure: 0.8838, kappa: 0.2222, kb_relative_information_score: -415.3518, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.877, predictive_accuracy: 0.9028, prior_entropy: 0.4551, recall: 0.9028, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.9235, scimark_benchmark: 940.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, build_cpu_time: 6.675, build_memory: 225001413.5022, f_measure: 0.8653, kappa: 0.0581, kb_relative_information_score: -292.5057, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8494, predictive_accuracy: 0.898, prior_entropy: 0.4551, recall: 0.898, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9278, scimark_benchmark: 945.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, build_cpu_time: 0.8508, build_memory: 77190259.1511, f_measure: 0.882, kappa: 0.1975, kb_relative_information_score: -320.4119, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8766, predictive_accuracy: 0.9046, prior_entropy: 0.4551, recall: 0.9046, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.916, scimark_benchmark: 942.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, build_cpu_time: 2.8317, build_memory: 1059864537.0079, f_measure: 0.8655, kappa: 0.0607, kb_relative_information_score: -292.0372, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8498, predictive_accuracy: 0.8978, prior_entropy: 0.4551, recall: 0.8978, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9283, scimark_benchmark: 942.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 1.6763, build_memory: 68269735.3921, f_measure: 0.8829, kappa: 0.2052, kb_relative_information_score: -311.8497, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8776, predictive_accuracy: 0.9048, prior_entropy: 0.4551, recall: 0.9048, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.915, scimark_benchmark: 942.0888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, f_measure: 0.8612, kappa: -0.0013, kb_relative_information_score: -451.8209, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9055, prior_entropy: 0.4551, recall: 0.9055, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9499, scimark_benchmark: 1345.3152, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.8824, kappa: 0.2596, kb_relative_information_score: -494.4252, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8758, predictive_accuracy: 0.8915, prior_entropy: 0.4551, recall: 0.8915, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9962, scimark_benchmark: 1360.2771, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, f_measure: 0.8679, kappa: 0.211, kb_relative_information_score: -139.0907, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8658, predictive_accuracy: 0.8701, prior_entropy: 0.4551, recall: 0.8701, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.361, root_relative_squared_error: 1.2378, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.8839, kappa: 0.2486, kb_relative_information_score: -368.6777, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8762, predictive_accuracy: 0.8969, prior_entropy: 0.4551, recall: 0.8969, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2938, root_relative_squared_error: 1.0074, scimark_benchmark: 1335.5424, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.8614, kappa: 0.0224, kb_relative_information_score: -577.6245, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8393, predictive_accuracy: 0.8978, prior_entropy: 0.4551, recall: 0.8978, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.922, scimark_benchmark: 1227.9507, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.8753, kappa: 0.2085, kb_relative_information_score: -318.4861, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8862, prior_entropy: 0.4551, recall: 0.8862, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0542, scimark_benchmark: 1326.8946, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.8839, kappa: 0.2486, kb_relative_information_score: -368.6777, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8762, predictive_accuracy: 0.8969, prior_entropy: 0.4551, recall: 0.8969, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2938, root_relative_squared_error: 1.0074, scimark_benchmark: 1281.7531, usercpu_time_millis: 1160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8688, kappa: 0.0963, kb_relative_information_score: -880.3877, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8555, predictive_accuracy: 0.8967, prior_entropy: 0.4551, recall: 0.8967, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9337, scimark_benchmark: 1316.0472, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.888, kappa: 0.2403, kb_relative_information_score: 20.1817, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9087, prior_entropy: 0.4551, recall: 0.9087, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.279, root_relative_squared_error: 0.9565, scimark_benchmark: 1372.2145, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -72.9649, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.8818, kappa: 0.2099, kb_relative_information_score: -585.9007, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8741, predictive_accuracy: 0.9009, prior_entropy: 0.4551, recall: 0.9009, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9474, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.8836, kappa: 0.2095, kb_relative_information_score: -494.3393, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8787, predictive_accuracy: 0.9055, prior_entropy: 0.4551, recall: 0.9055, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.9488, scimark_benchmark: 942.9518, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.8838, kappa: 0.2129, kb_relative_information_score: -300.5762, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8785, predictive_accuracy: 0.905, prior_entropy: 0.4551, recall: 0.905, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.9579, scimark_benchmark: 937.1527, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.8791, kappa: 0.254, kb_relative_information_score: -299.2661, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8738, predictive_accuracy: 0.8854, prior_entropy: 0.4551, recall: 0.8854, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3241, root_relative_squared_error: 1.1113, scimark_benchmark: 1337.446, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.8644, kappa: 0.0337, kb_relative_information_score: -7.7755, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8521, predictive_accuracy: 0.9033, prior_entropy: 0.4551, recall: 0.9033, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.0133, scimark_benchmark: 1306.6379, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.8841, kappa: 0.2115, kb_relative_information_score: 1185.7502, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8798, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.8638, kappa: 0.0272, kb_relative_information_score: 1092.6343, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8504, predictive_accuracy: 0.9035, prior_entropy: 0.4551, recall: 0.9035, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3107, root_relative_squared_error: 1.0651, scimark_benchmark: 825.5282, usercpu_time_millis: 330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.8676, kappa: 0.1375, kb_relative_information_score: 394.265, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.856, predictive_accuracy: 0.8838, prior_entropy: 0.4551, recall: 0.8838, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3408, root_relative_squared_error: 1.1685, scimark_benchmark: 1327.8711, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, build_cpu_time: 84.4293, build_memory: 1342513641.3502, f_measure: 0.8945, kappa: 0.2954, kb_relative_information_score: -407.2958, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8918, predictive_accuracy: 0.9114, prior_entropy: 0.4551, recall: 0.9114, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.9056, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.8773, kappa: 0.1779, kb_relative_information_score: 687.12, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8678, predictive_accuracy: 0.8976, prior_entropy: 0.4551, recall: 0.8976, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.0616, scimark_benchmark: 1366.5423, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8914, kappa: 0.2948, kb_relative_information_score: -2812.2944, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9041, prior_entropy: 0.4551, recall: 0.9041, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9944, scimark_benchmark: 1334.3805, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8766, kappa: 0.1665, kb_relative_information_score: -595.5997, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8987, prior_entropy: 0.4551, recall: 0.8987, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9937, scimark_benchmark: 1006.9991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.8835, kappa: 0.2447, kb_relative_information_score: -337.1813, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8757, predictive_accuracy: 0.8969, prior_entropy: 0.4551, recall: 0.8969, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2934, root_relative_squared_error: 1.0058, scimark_benchmark: 1318.5627, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.8735, kappa: 0.1311, kb_relative_information_score: -888.7453, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8638, predictive_accuracy: 0.8998, prior_entropy: 0.4551, recall: 0.8998, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9701, scimark_benchmark: 933.3136, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.8909, kappa: 0.2795, kb_relative_information_score: 1201.2695, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8856, predictive_accuracy: 0.9066, prior_entropy: 0.4551, recall: 0.9066, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.0481, scimark_benchmark: 942.9518, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.8666, kappa: 0.0409, kb_relative_information_score: 1255.5871, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9082, predictive_accuracy: 0.9081, prior_entropy: 0.4551, recall: 0.9081, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.0395, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.8778, kappa: 0.1979, kb_relative_information_score: -723.7021, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8684, predictive_accuracy: 0.8941, prior_entropy: 0.4551, recall: 0.8941, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2939, root_relative_squared_error: 1.0078, scimark_benchmark: 1442.7264, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.8563, kappa: 0.1172, kb_relative_information_score: -407.3636, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 0.4551, recall: 0.8631, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.2232, scimark_benchmark: 1384.4422, usercpu_time_millis: 5040, usercpu_time_millis_testing: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8914, kappa: 0.2948, kb_relative_information_score: -2812.2944, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9041, prior_entropy: 0.4551, recall: 0.9041, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9944, scimark_benchmark: 1345.7204, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.8725, kappa: 0.1319, kb_relative_information_score: -115.5665, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8612, predictive_accuracy: 0.8969, prior_entropy: 0.4551, recall: 0.8969, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3048, root_relative_squared_error: 1.045, scimark_benchmark: 1350.073, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8914, kappa: 0.2948, kb_relative_information_score: -2812.2944, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8853, predictive_accuracy: 0.9041, prior_entropy: 0.4551, recall: 0.9041, relative_absolute_error: 1.0317, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9944, scimark_benchmark: 1349.7981, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.8731, kappa: 0.2234, kb_relative_information_score: 190.4913, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8683, predictive_accuracy: 0.8786, prior_entropy: 0.4551, recall: 0.8786, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3476, root_relative_squared_error: 1.1917, scimark_benchmark: 1341.1616, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.8615, kb_relative_information_score: -2345.8798, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.28, root_relative_squared_error: 0.96, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8478, kappa: 0.2425, kb_relative_information_score: -2579.8493, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8755, predictive_accuracy: 0.8277, prior_entropy: 0.4551, recall: 0.8277, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3519, root_relative_squared_error: 1.2064, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7405, kappa: 0.2022, kb_relative_information_score: -7215.472, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.9016, predictive_accuracy: 0.6723, prior_entropy: 0.4551, recall: 0.6723, relative_absolute_error: 1.9092, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.9481, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8888, kappa: 0.2828, kb_relative_information_score: -368.5569, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8822, predictive_accuracy: 0.9009, prior_entropy: 0.4551, recall: 0.9009, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9911, scimark_benchmark: 1419.2433, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.86, kappa: 0.2575, kb_relative_information_score: -939.0468, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8757, predictive_accuracy: 0.8476, prior_entropy: 0.4551, recall: 0.8476, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3866, root_relative_squared_error: 1.3255, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.8766, kappa: 0.1665, kb_relative_information_score: -595.5997, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8672, predictive_accuracy: 0.8987, prior_entropy: 0.4551, recall: 0.8987, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.9937, scimark_benchmark: 1334.8495, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.8699, kappa: 0.0746, kb_relative_information_score: 1201.2695, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8738, predictive_accuracy: 0.9066, prior_entropy: 0.4551, recall: 0.9066, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.0481, scimark_benchmark: 1413.089, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.8601, kappa: 0.2579, kb_relative_information_score: -956.0522, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8758, predictive_accuracy: 0.8478, prior_entropy: 0.4551, recall: 0.8478, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.3264, scimark_benchmark: 1330.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.8893, kappa: 0.2513, kb_relative_information_score: -383.1026, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8868, predictive_accuracy: 0.9094, prior_entropy: 0.4551, recall: 0.9094, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9741, scimark_benchmark: 1217.7855, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.8893, kappa: 0.2513, kb_relative_information_score: -383.1026, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8868, predictive_accuracy: 0.9094, prior_entropy: 0.4551, recall: 0.9094, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9741, scimark_benchmark: 905.1217, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.8857, kappa: 0.2316, kb_relative_information_score: -265.538, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8803, predictive_accuracy: 0.9052, prior_entropy: 0.4551, recall: 0.9052, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9306, scimark_benchmark: 920.5394, usercpu_time_millis: 370, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8841, kappa: 0.2284, kb_relative_information_score: -264.0241, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8769, predictive_accuracy: 0.902, prior_entropy: 0.4551, recall: 0.902, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9513, scimark_benchmark: 930.404, usercpu_time_millis: 5590, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.8688, kappa: 0.0963, kb_relative_information_score: -880.3877, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1716, number_of_instances: 4580, precision: 0.8555, predictive_accuracy: 0.8967, prior_entropy: 0.4551, recall: 0.8967, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9337, scimark_benchmark: 938.988, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,

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