OpenML
Supervised Classification on fri_c4_500_10

Supervised Classification on fri_c4_500_10

Task 3720 Supervised Classification fri_c4_500_10 553 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.54, kappa: 0.1999, kb_relative_information_score: 49.4279, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6735, predictive_accuracy: 0.576, prior_entropy: 0.9922, recall: 0.576, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9928, scimark_benchmark: 943.2745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8278, kappa: 0.6514, kb_relative_information_score: 259.5202, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9922, recall: 0.828, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7091, scimark_benchmark: 943.6956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8562, kappa: 0.7096, kb_relative_information_score: 310.8521, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 0.9922, recall: 0.856, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6351, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.3927, kb_relative_information_score: -0.051, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4973, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8401, kappa: 0.677, kb_relative_information_score: 244.7943, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9922, recall: 0.84, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6953, scimark_benchmark: 911.0478, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3927, kb_relative_information_score: 44.9542, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.346, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8218, kappa: 0.6393, kb_relative_information_score: 315.558, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8218, predictive_accuracy: 0.822, prior_entropy: 0.9922, recall: 0.822, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8118, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8678, kappa: 0.7324, kb_relative_information_score: 172.8834, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9922, recall: 0.868, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7542, scimark_benchmark: 918.4924, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.6995, kappa: 0.3925, kb_relative_information_score: 71.2715, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7086, predictive_accuracy: 0.706, prior_entropy: 0.9922, recall: 0.706, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9093, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.6259, kappa: 0.2435, kb_relative_information_score: 120.1129, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6258, predictive_accuracy: 0.626, prior_entropy: 0.9922, recall: 0.626, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2298, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3927, kb_relative_information_score: 44.9542, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.346, scimark_benchmark: 901.0726, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3927, kb_relative_information_score: 44.9542, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.346, scimark_benchmark: 942.1229, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8938, kappa: 0.7849, kb_relative_information_score: 391.5551, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9922, recall: 0.894, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6523, scimark_benchmark: 904.3001, usercpu_time_millis: 1360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8817, kappa: 0.7605, kb_relative_information_score: 379.6005, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8821, predictive_accuracy: 0.882, prior_entropy: 0.9922, recall: 0.882, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6904, scimark_benchmark: 941.8057, usercpu_time_millis: 2650, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8602, kappa: 0.7179, kb_relative_information_score: 358.0314, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8608, predictive_accuracy: 0.86, prior_entropy: 0.9922, recall: 0.86, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6907, scimark_benchmark: 942.6953, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.6548, kappa: 0.3112, kb_relative_information_score: 86.2935, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6627, predictive_accuracy: 0.654, prior_entropy: 0.9922, recall: 0.654, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9509, scimark_benchmark: 902.4773, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8741, kappa: 0.7456, kb_relative_information_score: 366.1693, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8742, predictive_accuracy: 0.874, prior_entropy: 0.9922, recall: 0.874, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484, scimark_benchmark: 935.8986, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8009, kappa: 0.5964, kb_relative_information_score: 276.8741, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8022, predictive_accuracy: 0.802, prior_entropy: 0.9922, recall: 0.802, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6982, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3927, kb_relative_information_score: 44.9542, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.346, scimark_benchmark: 947.0793, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.645, kappa: 0.2886, kb_relative_information_score: 138.3947, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.65, predictive_accuracy: 0.644, prior_entropy: 0.9922, recall: 0.644, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1998, scimark_benchmark: 947.4269, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, build_cpu_time: 0.1188, build_memory: 704495688, f_measure: 0.6656, kappa: 0.3233, kb_relative_information_score: 93.0178, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6654, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9413, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, build_cpu_time: 0.1137, build_memory: 608249584.8, f_measure: 0.6656, kappa: 0.3233, kb_relative_information_score: 93.0178, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6654, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9413, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, build_cpu_time: 0.1353, build_memory: 1184142863.2, f_measure: 0.6656, kappa: 0.3233, kb_relative_information_score: 93.0178, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6654, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9413, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, build_cpu_time: 0.1, build_memory: 742673536.8, f_measure: 0.6637, kappa: 0.3195, kb_relative_information_score: 91.9848, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.9922, recall: 0.664, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9424, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 0.0739, build_memory: 211029478.4, f_measure: 0.8538, kappa: 0.7042, kb_relative_information_score: 344.5549, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9922, recall: 0.854, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7045, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, build_cpu_time: 0.1177, build_memory: 774337303.2, f_measure: 0.854, kappa: 0.7047, kb_relative_information_score: 349.9596, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.9922, recall: 0.854, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6936, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 0.2407, build_memory: 1374358304.8, f_measure: 0.8521, kappa: 0.701, kb_relative_information_score: 347.6577, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8521, predictive_accuracy: 0.852, prior_entropy: 0.9922, recall: 0.852, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7228, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 0.5171, build_memory: 67302075.2, f_measure: 0.8759, kappa: 0.7491, kb_relative_information_score: 373.8611, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9922, recall: 0.876, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.664, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.0088, build_memory: 709675694.4, f_measure: 0.8317, kappa: 0.6592, kb_relative_information_score: 329.3383, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9922, recall: 0.832, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8242, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.0061, build_memory: 27634398.4, f_measure: 0.8317, kappa: 0.6592, kb_relative_information_score: 329.3383, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9922, recall: 0.832, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8242, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.0053, build_memory: 1911132615.2, f_measure: 0.8317, kappa: 0.6592, kb_relative_information_score: 329.3383, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9922, recall: 0.832, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8242, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.0029, build_memory: 2161626288, f_measure: 0.8317, kappa: 0.6592, kb_relative_information_score: 329.3383, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9922, recall: 0.832, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8242, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.004, build_memory: 1261957228, f_measure: 0.8317, kappa: 0.6592, kb_relative_information_score: 329.3383, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9922, recall: 0.832, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8242, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.146, build_memory: 99555208, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 302.2313, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.1523, build_memory: 1478264129.6, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 302.2313, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.1819, build_memory: 1633152465.6, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 302.2313, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, build_cpu_time: 0.2092, build_memory: 984112579.2, f_measure: 0.8918, kappa: 0.7811, kb_relative_information_score: 302.2313, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.892, prior_entropy: 0.9922, recall: 0.892, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, build_cpu_time: 0.3251, build_memory: 806771384, f_measure: 0.8602, kappa: 0.7179, kb_relative_information_score: 358.0314, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8608, predictive_accuracy: 0.86, prior_entropy: 0.9922, recall: 0.86, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6907, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, build_cpu_time: 0.3841, build_memory: 127700620, f_measure: 0.6548, kappa: 0.3112, kb_relative_information_score: 86.2935, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6627, predictive_accuracy: 0.654, prior_entropy: 0.9922, recall: 0.654, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9509, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.2772, build_memory: 120417761.6, f_measure: 0.8741, kappa: 0.7456, kb_relative_information_score: 366.1693, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8742, predictive_accuracy: 0.874, prior_entropy: 0.9922, recall: 0.874, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 0.0028, build_memory: 2162259892, f_measure: 0.8009, kappa: 0.5964, kb_relative_information_score: 276.8741, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8022, predictive_accuracy: 0.802, prior_entropy: 0.9922, recall: 0.802, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6982, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, build_cpu_time: 0.1981, build_memory: 41261340, f_measure: 0.8959, kappa: 0.7894, kb_relative_information_score: 299.5702, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9922, recall: 0.896, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892, scimark_benchmark: 941.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, build_cpu_time: 0.0268, build_memory: 161428421.6, f_measure: 0.772, kappa: 0.5378, kb_relative_information_score: 237.1011, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7747, predictive_accuracy: 0.774, prior_entropy: 0.9922, recall: 0.774, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8798, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.0006, build_memory: 749921116.8, f_measure: 0.7697, kappa: 0.534, kb_relative_information_score: 265.4982, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7696, predictive_accuracy: 0.77, prior_entropy: 0.9922, recall: 0.77, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9623, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1361, build_memory: 1304767044.8, f_measure: 0.3927, kb_relative_information_score: 44.9542, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.3047, predictive_accuracy: 0.552, prior_entropy: 0.9922, recall: 0.552, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.346, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, build_cpu_time: 0.0118, build_memory: 515264616, f_measure: 0.6618, kappa: 0.3157, kb_relative_information_score: 156.6765, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6616, predictive_accuracy: 0.662, prior_entropy: 0.9922, recall: 0.662, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.1691, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, build_cpu_time: 0.029, build_memory: 330764839.2, f_measure: 0.645, kappa: 0.2886, kb_relative_information_score: 138.3947, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.65, predictive_accuracy: 0.644, prior_entropy: 0.9922, recall: 0.644, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1998, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, build_cpu_time: 0.0108, build_memory: 69519639.2, f_measure: 0.667, kappa: 0.3253, kb_relative_information_score: 87.6711, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6667, predictive_accuracy: 0.668, prior_entropy: 0.9922, recall: 0.668, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9292, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, build_cpu_time: 0.0305, build_memory: 25572555.2, f_measure: 0.7991, kappa: 0.5929, kb_relative_information_score: 201.0668, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.7999, predictive_accuracy: 0.8, prior_entropy: 0.9922, recall: 0.8, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7499, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, build_cpu_time: 0.0178, build_memory: 20996092.8, f_measure: 0.8218, kappa: 0.6393, kb_relative_information_score: 315.558, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.8218, predictive_accuracy: 0.822, prior_entropy: 0.9922, recall: 0.822, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8118, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 0.324, build_memory: 1290695886.4, f_measure: 0.6696, kappa: 0.3314, kb_relative_information_score: 153.6451, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6694, predictive_accuracy: 0.67, prior_entropy: 0.9922, recall: 0.67, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0506, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 0.3229, build_memory: 560207523.2, f_measure: 0.6696, kappa: 0.3314, kb_relative_information_score: 153.6451, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6694, predictive_accuracy: 0.67, prior_entropy: 0.9922, recall: 0.67, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0506, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, build_cpu_time: 0.1218, build_memory: 412581708.8, f_measure: 0.6653, kappa: 0.3221, kb_relative_information_score: 158.165, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0978, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, build_cpu_time: 0.1173, build_memory: 732004620.8, f_measure: 0.6653, kappa: 0.3221, kb_relative_information_score: 158.165, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0978, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, build_cpu_time: 0.1266, build_memory: 632936586.4, f_measure: 0.6653, kappa: 0.3221, kb_relative_information_score: 158.165, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0978, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, build_cpu_time: 0.1394, build_memory: 791133188.8, f_measure: 0.6653, kappa: 0.3221, kb_relative_information_score: 158.165, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.0978, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, build_cpu_time: 0.2384, build_memory: 499018498.4, f_measure: 0.6637, kappa: 0.3195, kb_relative_information_score: 154.4513, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6635, predictive_accuracy: 0.664, prior_entropy: 0.9922, recall: 0.664, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0869, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, build_cpu_time: 0.5044, build_memory: 419208051.2, f_measure: 0.6633, kappa: 0.3184, kb_relative_information_score: 155.0658, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.663, predictive_accuracy: 0.664, prior_entropy: 0.9922, recall: 0.664, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0869, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, build_cpu_time: 0.5105, build_memory: 617498171.2, f_measure: 0.6633, kappa: 0.3184, kb_relative_information_score: 155.0658, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.663, predictive_accuracy: 0.664, prior_entropy: 0.9922, recall: 0.664, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0869, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, build_cpu_time: 0.941, build_memory: 1008395452.8, f_measure: 0.6653, kappa: 0.3221, kb_relative_information_score: 155.6916, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4946, number_of_instances: 500, precision: 0.6649, predictive_accuracy: 0.666, prior_entropy: 0.9922, recall: 0.666, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4973, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.0864, scimark_benchmark: 946.5993,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs