OpenML
Supervised Classification on fri_c4_500_25

Supervised Classification on fri_c4_500_25

Task 3703 Supervised Classification fri_c4_500_25 554 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: 0.9037, f_measure: 0.8444, kappa: 0.6842, kb_relative_information_score: 240.4864, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8458, predictive_accuracy: 0.844, prior_entropy: 0.9867, recall: 0.844, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7116, scimark_benchmark: 902.4773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8385, kappa: 0.6696, kb_relative_information_score: 261.5832, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8411, predictive_accuracy: 0.84, prior_entropy: 0.9867, recall: 0.84, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6841, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8459, kappa: 0.6857, kb_relative_information_score: 183.5486, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8458, predictive_accuracy: 0.846, prior_entropy: 0.9867, recall: 0.846, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7469, scimark_benchmark: 947.9494, usercpu_time_millis: 1460, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7474, kappa: 0.4842, kb_relative_information_score: 95.2553, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7471, predictive_accuracy: 0.748, prior_entropy: 0.9867, recall: 0.748, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8878, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 932.3943, usercpu_time_millis: 260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 901.0726, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.6067, kappa: 0.2003, kb_relative_information_score: 92.7831, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6076, predictive_accuracy: 0.606, prior_entropy: 0.9867, recall: 0.606, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0805, scimark_benchmark: 945.6434, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8737, kappa: 0.7423, kb_relative_information_score: 370.5284, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 0.9867, recall: 0.874, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7082, scimark_benchmark: 1174.6686, usercpu_time_millis: 3540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8777, kappa: 0.7502, kb_relative_information_score: 375.4907, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8779, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2466, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6988, scimark_benchmark: 915.2795, usercpu_time_millis: 5470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8315, kappa: 0.6558, kb_relative_information_score: 324.3554, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9867, recall: 0.832, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7703, scimark_benchmark: 883.7187, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.6284, kappa: 0.2437, kb_relative_information_score: 72.949, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6289, predictive_accuracy: 0.628, prior_entropy: 0.9867, recall: 0.628, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9895, scimark_benchmark: 947.0793, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 366.4274, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6659, scimark_benchmark: 935.8986, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8515, kappa: 0.6967, kb_relative_information_score: 299.8399, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9867, recall: 0.852, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6745, scimark_benchmark: 923.9763, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 945.6434, usercpu_time_millis: 260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 934.5243, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, build_cpu_time: 0.2726, build_memory: 2316587112.8, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4124, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9574, scimark_benchmark: 943.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, build_cpu_time: 0.2851, build_memory: 1448327140.8, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4124, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9574, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, build_cpu_time: 0.2868, build_memory: 1296855596, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4124, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9574, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, build_cpu_time: 0.2627, build_memory: 706260582.4, f_measure: 0.673, kappa: 0.3309, kb_relative_information_score: 101.4866, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6732, predictive_accuracy: 0.676, prior_entropy: 0.9867, recall: 0.676, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9571, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 0.1272, build_memory: 609619224.8, f_measure: 0.8597, kappa: 0.7138, kb_relative_information_score: 343.9259, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6977, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 0.2636, build_memory: 1261807476.8, f_measure: 0.8598, kappa: 0.7141, kb_relative_information_score: 355.2634, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9867, recall: 0.86, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6907, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, build_cpu_time: 0.516, build_memory: 730512188, f_measure: 0.8819, kappa: 0.7592, kb_relative_information_score: 367.8297, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9867, recall: 0.882, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6745, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, build_cpu_time: 0.8644, build_memory: 209652880.8, f_measure: 0.8756, kappa: 0.7459, kb_relative_information_score: 369.5762, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9867, recall: 0.876, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6797, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 1.2332, build_memory: 580008271.2, f_measure: 0.8715, kappa: 0.7374, kb_relative_information_score: 364.9546, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9867, recall: 0.872, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6969, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0098, build_memory: 1568788588, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0081, build_memory: 141197086.4, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0073, build_memory: 2068953011.2, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0066, build_memory: 2418614932, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.0055, build_memory: 1573237424.8, f_measure: 0.7573, kappa: 0.5044, kb_relative_information_score: 251.4135, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7571, predictive_accuracy: 0.758, prior_entropy: 0.9867, recall: 0.758, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9931, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2346, build_memory: 787506004, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2186, build_memory: 861177918.4, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2261, build_memory: 1362376944, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, build_cpu_time: 0.2391, build_memory: 921511244.8, f_measure: 0.8655, kappa: 0.7253, kb_relative_information_score: 241.5038, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9867, recall: 0.866, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6654, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.687, build_memory: 1000121960, f_measure: 0.8315, kappa: 0.6558, kb_relative_information_score: 324.3554, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9867, recall: 0.832, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7703, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, build_cpu_time: 0.5223, build_memory: 2325382417.6, f_measure: 0.6284, kappa: 0.2437, kb_relative_information_score: 72.949, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6289, predictive_accuracy: 0.628, prior_entropy: 0.9867, recall: 0.628, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9895, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.6433, build_memory: 630225612.8, f_measure: 0.8778, kappa: 0.7507, kb_relative_information_score: 366.4274, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8778, predictive_accuracy: 0.878, prior_entropy: 0.9867, recall: 0.878, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6659, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 0.0201, build_memory: 1737775653.6, f_measure: 0.8515, kappa: 0.6967, kb_relative_information_score: 299.8399, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8518, predictive_accuracy: 0.852, prior_entropy: 0.9867, recall: 0.852, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6745, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 0.2078, build_memory: 477224064.8, f_measure: 0.8576, kappa: 0.7092, kb_relative_information_score: 241.6584, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9867, recall: 0.858, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.668, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, build_cpu_time: 0.046, build_memory: 1219193380.8, f_measure: 0.8421, kappa: 0.6786, kb_relative_information_score: 304.0088, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.8423, predictive_accuracy: 0.842, prior_entropy: 0.9867, recall: 0.842, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7495, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, build_cpu_time: 0.0001, build_memory: 718721374.4, f_measure: 0.6141, kappa: 0.2139, kb_relative_information_score: 103.1572, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.614, prior_entropy: 0.9867, recall: 0.614, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6199, root_relative_squared_error: 1.2515, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0991, build_memory: 534310976, f_measure: 0.4115, kb_relative_information_score: 56.2846, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, build_cpu_time: 0.0462, build_memory: 197708835.2, f_measure: 0.6687, kappa: 0.3219, kb_relative_information_score: 163.092, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6691, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1562, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6308, build_cpu_time: 0.076, build_memory: 831252639.2, f_measure: 0.642, kappa: 0.2729, kb_relative_information_score: 148.7141, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6583, predictive_accuracy: 0.658, prior_entropy: 0.9867, recall: 0.658, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5848, root_relative_squared_error: 1.1806, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.0168, build_memory: 52402994.4, f_measure: 0.6804, kappa: 0.3466, kb_relative_information_score: 100.4427, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.68, predictive_accuracy: 0.682, prior_entropy: 0.9867, recall: 0.682, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9295, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, build_cpu_time: 0.0053, build_memory: 190662793.6, f_measure: 0.7759, kappa: 0.5431, kb_relative_information_score: 269.8994, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9555, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, build_cpu_time: 0.0056, build_memory: 751391564, f_measure: 0.7759, kappa: 0.5431, kb_relative_information_score: 269.8994, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.7758, predictive_accuracy: 0.776, prior_entropy: 0.9867, recall: 0.776, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9555, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, build_cpu_time: 0.0194, build_memory: 291330259.2, f_measure: 0.8483, kappa: 0.6916, kb_relative_information_score: 333.6899, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9867, recall: 0.848, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7754, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, build_cpu_time: 0.0002, build_memory: 318179454.4, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, build_cpu_time: 0.0002, build_memory: 806952984.8, f_measure: 0.4115, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9867, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, build_cpu_time: 0.0034, build_memory: 302599177.6, f_measure: 0.6777, kappa: 0.3406, kb_relative_information_score: 101.3452, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6776, predictive_accuracy: 0.68, prior_entropy: 0.9867, recall: 0.68, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9382, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, build_cpu_time: 0.0311, build_memory: 199980459.2, f_measure: 0.6352, kappa: 0.2604, kb_relative_information_score: 124.0662, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6375, predictive_accuracy: 0.634, prior_entropy: 0.9867, recall: 0.634, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2213, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.8888, build_memory: 1217132336.8, f_measure: 0.6716, kappa: 0.3302, kb_relative_information_score: 143.5797, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6713, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9988, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, build_cpu_time: 0.6021, build_memory: 1047043749.6, f_measure: 0.6716, kappa: 0.3302, kb_relative_information_score: 143.5797, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6713, predictive_accuracy: 0.672, prior_entropy: 0.9867, recall: 0.672, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9988, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, build_cpu_time: 0.4047, build_memory: 793458552, f_measure: 0.6663, kappa: 0.3205, kb_relative_information_score: 136.9268, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6666, predictive_accuracy: 0.666, prior_entropy: 0.9867, recall: 0.666, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0345, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, build_cpu_time: 0.7558, build_memory: 632096534.4, f_measure: 0.6544, kappa: 0.2936, kb_relative_information_score: 134.2835, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6538, predictive_accuracy: 0.656, prior_entropy: 0.9867, recall: 0.656, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0292, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, build_cpu_time: 1.4422, build_memory: 473080681.6, f_measure: 0.6621, kappa: 0.3092, kb_relative_information_score: 131.3449, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6617, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0315, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, build_cpu_time: 1.4217, build_memory: 1900476923.2, f_measure: 0.6621, kappa: 0.3092, kb_relative_information_score: 131.3449, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4908, number_of_instances: 500, precision: 0.6617, predictive_accuracy: 0.664, prior_entropy: 0.9867, recall: 0.664, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.511, root_relative_squared_error: 1.0315, scimark_benchmark: 939.8999,

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