Task
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3510 Supervised Classification JapaneseVowels 11285 runs submitted
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  • OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 910.3785, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.074, build_memory: 1532649883.072, f_measure: 0.2536, kappa: 0.1561, kb_relative_information_score: 2082.9758, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2534, predictive_accuracy: 0.256, prior_entropy: 3.1321, recall: 0.256, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.2983, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.1017, build_memory: 767774819.892, f_measure: 0.2536, kappa: 0.1561, kb_relative_information_score: 2082.9758, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2534, predictive_accuracy: 0.256, prior_entropy: 3.1321, recall: 0.256, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.2983, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.0754, build_memory: 1263374555.3499, f_measure: 0.2536, kappa: 0.1561, kb_relative_information_score: 2082.9758, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2534, predictive_accuracy: 0.256, prior_entropy: 3.1321, recall: 0.256, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.2983, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 7.4296, build_memory: 2350262039.6057, f_measure: 0.976, kappa: 0.9729, kb_relative_information_score: 9030.3165, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 3.1321, recall: 0.9761, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.3017, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 6.6955, build_memory: 1183486623.7687, f_measure: 0.976, kappa: 0.9729, kb_relative_information_score: 9030.3165, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 3.1321, recall: 0.9761, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.3017, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 4.1932, build_memory: 747944999.6924, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 3.7463, build_memory: 883228624.3638, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 3.8054, build_memory: 734882942.7343, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.0618, build_memory: 536570480.7188, f_measure: 0.2536, kappa: 0.1561, kb_relative_information_score: 2082.9758, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2534, predictive_accuracy: 0.256, prior_entropy: 3.1321, recall: 0.256, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.2983, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 3.7311, build_memory: 840694860.1217, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 3.7789, build_memory: 896046083.6245, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, build_cpu_time: 0.098, build_memory: 929041250.5218, f_measure: 0.2536, kappa: 0.1561, kb_relative_information_score: 2082.9758, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.2534, predictive_accuracy: 0.256, prior_entropy: 3.1321, recall: 0.256, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.2983, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9878, kappa: 0.9862, kb_relative_information_score: 9829.4142, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 3.1321, recall: 0.9879, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1649, scimark_benchmark: 942.0096, usercpu_time_millis: 109350, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 107220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9668, kappa: 0.9625, kb_relative_information_score: 8678.2631, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9667, predictive_accuracy: 0.9669, prior_entropy: 3.1321, recall: 0.9669, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3575, scimark_benchmark: 933.8635, usercpu_time_millis: 142450, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 142040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9641, kappa: 0.9594, kb_relative_information_score: 9177.8621, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 3.1321, recall: 0.9642, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.2953, scimark_benchmark: 901.0726, usercpu_time_millis: 13300, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 12230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.869, kappa: 0.8553, kb_relative_information_score: 2927.6154, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8732, predictive_accuracy: 0.8727, prior_entropy: 3.1321, recall: 0.8727, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.9054, scimark_benchmark: 935.8986, usercpu_time_millis: 283330, usercpu_time_millis_testing: 108160, usercpu_time_millis_training: 175170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9667, kappa: 0.9624, kb_relative_information_score: 9628.0257, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 3.1321, recall: 0.9668, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.2527, scimark_benchmark: 932.3943, usercpu_time_millis: 56190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 56140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9887, kappa: 0.9873, kb_relative_information_score: 9838.4095, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 3.1321, recall: 0.9888, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1589, scimark_benchmark: 889.3853, usercpu_time_millis: 219490, usercpu_time_millis_testing: 4640, usercpu_time_millis_training: 214850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8361, kappa: 0.8146, kb_relative_information_score: 8134.2281, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8361, predictive_accuracy: 0.8364, prior_entropy: 3.1321, recall: 0.8364, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5175, scimark_benchmark: 932.3943, usercpu_time_millis: 1460, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9646, kappa: 0.9601, kb_relative_information_score: 9149.5304, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9646, predictive_accuracy: 0.9648, prior_entropy: 3.1321, recall: 0.9648, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.3067, scimark_benchmark: 932.3943, usercpu_time_millis: 1160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, build_cpu_time: 5.9267, build_memory: 335471361.5741, f_measure: 0.9477, kappa: 0.9408, kb_relative_information_score: 8891.4562, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9478, predictive_accuracy: 0.9477, prior_entropy: 3.1321, recall: 0.9477, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3312, scimark_benchmark: 935.2308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8424, kappa: 0.8232, kb_relative_information_score: 7757.233, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8418, predictive_accuracy: 0.844, prior_entropy: 3.1321, recall: 0.844, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5205, scimark_benchmark: 942.6953, usercpu_time_millis: 3940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9855, kappa: 0.9836, kb_relative_information_score: 9808.4732, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 3.1321, recall: 0.9855, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1768, scimark_benchmark: 770.3451, usercpu_time_millis: 41840, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 41210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.1122, kappa: 0.1417, kb_relative_information_score: 2105.1113, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0718, predictive_accuracy: 0.2599, prior_entropy: 3.1321, recall: 0.2599, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.959, scimark_benchmark: 947.9494, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0452, kb_relative_information_score: 910.3785, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0263, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.3778, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 20093.8462, build_memory: 1118602448.0321, f_measure: 0.9831, kappa: 0.9808, kb_relative_information_score: 9668.2224, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 3.1321, recall: 0.983, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1906, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, build_cpu_time: 10227.2346, build_memory: 135864689.4207, f_measure: 0.9834, kappa: 0.9811, kb_relative_information_score: 9667.8578, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 3.1321, recall: 0.9833, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1912, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 21.1719, build_memory: 1123056896.5847, f_measure: 0.9516, kappa: 0.9454, kb_relative_information_score: 9062.3128, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9516, predictive_accuracy: 0.9518, prior_entropy: 3.1321, recall: 0.9518, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.324, scimark_benchmark: 636.2169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 22.4308, build_memory: 119511438.1769, f_measure: 0.9487, kappa: 0.9421, kb_relative_information_score: 9058.6064, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9486, predictive_accuracy: 0.9489, prior_entropy: 3.1321, recall: 0.9489, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.3292, scimark_benchmark: 563.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 0.1337, build_memory: 802516119.4892, f_measure: 0.8733, kappa: 0.8564, kb_relative_information_score: 8601.7917, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8736, predictive_accuracy: 0.8732, prior_entropy: 3.1321, recall: 0.8732, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.536, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, build_cpu_time: 0.1376, build_memory: 959359397.8829, f_measure: 0.8733, kappa: 0.8564, kb_relative_information_score: 8601.7917, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8736, predictive_accuracy: 0.8732, prior_entropy: 3.1321, recall: 0.8732, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.536, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 66.1879, build_memory: 522302986.5371, f_measure: 0.9867, kappa: 0.985, kb_relative_information_score: 9825.2042, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9868, predictive_accuracy: 0.9867, prior_entropy: 3.1321, recall: 0.9867, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1669, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, build_cpu_time: 36.9124, build_memory: 1238803870.6676, f_measure: 0.985, kappa: 0.9831, kb_relative_information_score: 9806.2246, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 3.1321, recall: 0.985, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1768, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 6.3915, build_memory: 2384504302.7913, f_measure: 0.976, kappa: 0.9729, kb_relative_information_score: 9030.3165, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 3.1321, recall: 0.9761, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.3017, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 17.9792, build_memory: 593612697.8006, f_measure: 0.9476, kappa: 0.9406, kb_relative_information_score: 3014.6968, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 3.1321, recall: 0.9476, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8996, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 19.3536, build_memory: 868345238.0693, f_measure: 0.9476, kappa: 0.9406, kb_relative_information_score: 3014.6968, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 3.1321, recall: 0.9476, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8996, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 21.6667, build_memory: 1235847879.8675, f_measure: 0.9476, kappa: 0.9406, kb_relative_information_score: 3014.6968, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 3.1321, recall: 0.9476, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8996, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 21.6386, build_memory: 283368004.9891, f_measure: 0.9476, kappa: 0.9406, kb_relative_information_score: 3014.6968, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9477, predictive_accuracy: 0.9476, prior_entropy: 3.1321, recall: 0.9476, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.8996, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 21.4047, build_memory: 457957376.1831, f_measure: 0.9357, kappa: 0.9275, kb_relative_information_score: 8787.7663, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9359, predictive_accuracy: 0.9361, prior_entropy: 3.1321, recall: 0.9361, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3657, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 940.2922, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9648, kappa: 0.9602, kb_relative_information_score: 9586.2994, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 3.1321, recall: 0.9649, relative_absolute_error: 0.0439, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.2646, scimark_benchmark: 942.3168, usercpu_time_millis: 534310, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 533760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 941.7954, usercpu_time_millis: 6830, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 4760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 934.5243, usercpu_time_millis: 6890, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9334, kappa: 0.9247, kb_relative_information_score: 9096.1242, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 3.1321, recall: 0.9335, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.3383, scimark_benchmark: 934.5243, usercpu_time_millis: 13900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 939.7623, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 936.7115, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.1122, kappa: 0.1414, kb_relative_information_score: 2127.9154, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0719, predictive_accuracy: 0.2595, prior_entropy: 3.1321, recall: 0.2595, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9613, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.8822, kappa: 0.8676, kb_relative_information_score: 7900.1794, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8817, predictive_accuracy: 0.8832, prior_entropy: 3.1321, recall: 0.8832, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.4678, scimark_benchmark: 911.0478, usercpu_time_millis: 6930, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 4780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8775, kappa: 0.8619, kb_relative_information_score: 8636.9212, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8779, predictive_accuracy: 0.8781, prior_entropy: 3.1321, recall: 0.8781, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.4816, scimark_benchmark: 908.0036, usercpu_time_millis: 10130, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 6940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.865, kappa: 0.8473, kb_relative_information_score: 8519.9733, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8676, predictive_accuracy: 0.8653, prior_entropy: 3.1321, recall: 0.8653, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5367, scimark_benchmark: 929.566, usercpu_time_millis: 7370, usercpu_time_millis_testing: 2570, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9027, kappa: 0.8903, kb_relative_information_score: 8610.0897, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9024, predictive_accuracy: 0.9032, prior_entropy: 3.1321, recall: 0.9032, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4116, scimark_benchmark: 941.7954, usercpu_time_millis: 8060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.0452, kb_relative_information_score: 0.596, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.0263, predictive_accuracy: 0.162, prior_entropy: 3.1321, recall: 0.162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.3132, root_relative_squared_error: 1, scimark_benchmark: 940.2922, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8424, kappa: 0.8232, kb_relative_information_score: 7757.233, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8418, predictive_accuracy: 0.844, prior_entropy: 3.1321, recall: 0.844, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.163, root_relative_squared_error: 0.5205, scimark_benchmark: 902.4773, usercpu_time_millis: 3410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 53.921, build_memory: 1823702414.0476, f_measure: 0.9733, kappa: 0.97, kb_relative_information_score: 8909.7185, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 3.1321, recall: 0.9735, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3213, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 54.9841, build_memory: 1822803957.2541, f_measure: 0.9733, kappa: 0.97, kb_relative_information_score: 8909.7185, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 3.1321, recall: 0.9735, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3213, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 80.6103, build_memory: 1191969205.8203, f_measure: 0.9733, kappa: 0.97, kb_relative_information_score: 8909.7185, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 3.1321, recall: 0.9735, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3213, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 194.9018, build_memory: 2301538393.8143, f_measure: 0.9729, kappa: 0.9695, kb_relative_information_score: 8913.2291, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 3.1321, recall: 0.9731, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.3201, scimark_benchmark: 914.4968,

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