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OpenML
Task
Supervised Classification on fri_c4_500_50

Supervised Classification on fri_c4_500_50

Task 3670 Supervised Classification fri_c4_500_50 568 runs submitted
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Visibility: Public
  • 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: 0.5893, f_measure: 0.5843, kappa: 0.1673, kb_relative_information_score: 48.6404, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.5851, predictive_accuracy: 0.584, prior_entropy: 0.9978, recall: 0.584, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.0784, scimark_benchmark: 939.5088, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.4109, kappa: 0.0336, kb_relative_information_score: 39.9286, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6163, predictive_accuracy: 0.542, prior_entropy: 0.9978, recall: 0.542, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3556, scimark_benchmark: 889.3151, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.3782, kappa: 0.0134, kb_relative_information_score: 31.8926, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7525, predictive_accuracy: 0.534, prior_entropy: 0.9978, recall: 0.534, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.3674, scimark_benchmark: 1315.395, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.614, kappa: 0.2257, kb_relative_information_score: 112.2528, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6141, predictive_accuracy: 0.614, prior_entropy: 0.9978, recall: 0.614, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2445, scimark_benchmark: 1297.6599, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.6535, kappa: 0.3044, kb_relative_information_score: 66.214, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6535, predictive_accuracy: 0.654, prior_entropy: 0.9978, recall: 0.654, relative_absolute_error: 0.8895, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9374, scimark_benchmark: 938.343, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6266, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 126.3158, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2218, scimark_benchmark: 939.449, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 100.6643, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9771, scimark_benchmark: 933.3136, usercpu_time_millis: 1120, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.824, kappa: 0.6467, kb_relative_information_score: 278.1896, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6887, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8277, kappa: 0.6541, kb_relative_information_score: 281.6035, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9978, recall: 0.828, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6823, scimark_benchmark: 1368.9272, usercpu_time_millis: 410, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7632, kappa: 0.5246, kb_relative_information_score: 240.3469, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7644, predictive_accuracy: 0.764, prior_entropy: 0.9978, recall: 0.764, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8866, scimark_benchmark: 1372.2145, usercpu_time_millis: 830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.856, kappa: 0.711, kb_relative_information_score: 167.4083, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9978, recall: 0.856, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7606, scimark_benchmark: 1066.7184, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6847, kappa: 0.367, kb_relative_information_score: 184.577, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6858, predictive_accuracy: 0.686, prior_entropy: 0.9978, recall: 0.686, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5604, root_relative_squared_error: 1.1225, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.8456, kappa: 0.69, kb_relative_information_score: 292.359, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8467, predictive_accuracy: 0.846, prior_entropy: 0.9978, recall: 0.846, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7212, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.8235, kappa: 0.6456, kb_relative_information_score: 274.7125, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8247, predictive_accuracy: 0.824, prior_entropy: 0.9978, recall: 0.824, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7715, scimark_benchmark: 1355.7054, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5247, kappa: 0.178, kb_relative_information_score: 72.0727, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6679, predictive_accuracy: 0.574, prior_entropy: 0.9978, recall: 0.574, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3074, scimark_benchmark: 1341.5768, usercpu_time_millis: 440, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3027, kb_relative_information_score: -30.3866, mean_absolute_error: 0.528, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.2228, predictive_accuracy: 0.472, prior_entropy: 0.9978, recall: 0.472, relative_absolute_error: 1.0593, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.7266, root_relative_squared_error: 1.4556, scimark_benchmark: 1308.9788, usercpu_time_millis: 310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7862, kappa: 0.5721, kb_relative_information_score: 281.3474, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7877, predictive_accuracy: 0.786, prior_entropy: 0.9978, recall: 0.786, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9126, scimark_benchmark: 1358.4523, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.7442, kappa: 0.4882, kb_relative_information_score: 242.8382, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7459, predictive_accuracy: 0.744, prior_entropy: 0.9978, recall: 0.744, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0135, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.808, kappa: 0.6146, kb_relative_information_score: 307.1264, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8079, predictive_accuracy: 0.808, prior_entropy: 0.9978, recall: 0.808, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8777, scimark_benchmark: 1353.5686, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3649, kb_relative_information_score: -0.0369, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.2788, predictive_accuracy: 0.528, prior_entropy: 0.9978, recall: 0.528, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8099, kappa: 0.6185, kb_relative_information_score: 301.9362, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9978, recall: 0.81, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579, scimark_benchmark: 1605.6303, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6092, kappa: 0.2153, kb_relative_information_score: 117.2407, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6092, predictive_accuracy: 0.61, prior_entropy: 0.9978, recall: 0.61, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.1376, scimark_benchmark: 931.2336, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6391, kappa: 0.2755, kb_relative_information_score: 130.7925, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6393, predictive_accuracy: 0.64, prior_entropy: 0.9978, recall: 0.64, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5638, root_relative_squared_error: 1.1293, scimark_benchmark: 945.6434, usercpu_time_millis: 680, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6237, kappa: 0.2446, kb_relative_information_score: 112.6493, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6236, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5491, root_relative_squared_error: 1.1, scimark_benchmark: 941.7954, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6239, kappa: 0.2453, kb_relative_information_score: 104.0399, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6238, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0285, scimark_benchmark: 923.7642, usercpu_time_millis: 330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6239, kappa: 0.2453, kb_relative_information_score: 104.0399, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6238, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0285, scimark_benchmark: 894.7455, usercpu_time_millis: 330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8681, kappa: 0.7354, kb_relative_information_score: 357.553, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9978, recall: 0.868, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6601, scimark_benchmark: 911.3823, usercpu_time_millis: 1770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8401, kappa: 0.6793, kb_relative_information_score: 333.8735, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9978, recall: 0.84, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7117, scimark_benchmark: 938.2848, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8401, kappa: 0.6793, kb_relative_information_score: 318.5476, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9978, recall: 0.84, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7095, scimark_benchmark: 938.2848, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7841, kappa: 0.5672, kb_relative_information_score: 265.1891, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7845, predictive_accuracy: 0.784, prior_entropy: 0.9978, recall: 0.784, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.841, scimark_benchmark: 922.9039, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7098, kappa: 0.4225, kb_relative_information_score: 188.9155, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7158, predictive_accuracy: 0.71, prior_entropy: 0.9978, recall: 0.71, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9086, scimark_benchmark: 938.4285, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.864, kappa: 0.7273, kb_relative_information_score: 344.3647, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 0.9978, recall: 0.864, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6531, scimark_benchmark: 936.6206, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8398, kappa: 0.6783, kb_relative_information_score: 246.7355, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9978, recall: 0.84, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6968, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, build_cpu_time: 0.3064, build_memory: 319147800.8, f_measure: 0.842, kappa: 0.6829, kb_relative_information_score: 165.1335, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9978, recall: 0.842, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7675, scimark_benchmark: 943.7751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 0.9419, build_memory: 378617736.8, f_measure: 0.7819, kappa: 0.5623, kb_relative_information_score: 286.3809, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7819, predictive_accuracy: 0.782, prior_entropy: 0.9978, recall: 0.782, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9032, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, build_cpu_time: 0.543, build_memory: 1236697152.8, f_measure: 0.7879, kappa: 0.5743, kb_relative_information_score: 284.6258, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9978, recall: 0.788, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8937, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, build_cpu_time: 0.2773, build_memory: 954403826.4, f_measure: 0.7798, kappa: 0.558, kb_relative_information_score: 274.6662, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9978, recall: 0.78, relative_absolute_error: 0.452, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8834, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, build_cpu_time: 0.1127, build_memory: 1532635778.4, f_measure: 0.7698, kappa: 0.538, kb_relative_information_score: 260.6649, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7699, predictive_accuracy: 0.77, prior_entropy: 0.9978, recall: 0.77, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8898, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, build_cpu_time: 0.058, build_memory: 434522975.2, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 224.9907, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7381, predictive_accuracy: 0.738, prior_entropy: 0.9978, recall: 0.738, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.906, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, build_cpu_time: 0.2252, build_memory: 1832537490.4, f_measure: 0.6279, kappa: 0.2533, kb_relative_information_score: 98.4458, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6278, predictive_accuracy: 0.628, prior_entropy: 0.9978, recall: 0.628, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0288, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.3234, build_memory: 1540115384, f_measure: 0.6239, kappa: 0.2453, kb_relative_information_score: 104.0399, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6238, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0285, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.2978, build_memory: 575010048.8, f_measure: 0.6239, kappa: 0.2453, kb_relative_information_score: 104.0399, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6238, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0285, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.336, build_memory: 890076194.4, f_measure: 0.6239, kappa: 0.2453, kb_relative_information_score: 104.0399, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6238, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0285, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.3204, build_memory: 3033383131.2, f_measure: 0.6239, kappa: 0.2453, kb_relative_information_score: 104.0399, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.6238, predictive_accuracy: 0.624, prior_entropy: 0.9978, recall: 0.624, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0285, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, build_cpu_time: 78.1467, build_memory: 78988333.6, f_measure: 0.796, kappa: 0.5905, kb_relative_information_score: 283.4873, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.7959, predictive_accuracy: 0.796, prior_entropy: 0.9978, recall: 0.796, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7828, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 150.1176, build_memory: 810890246.4, f_measure: 0.8201, kappa: 0.6392, kb_relative_information_score: 311.1309, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9978, recall: 0.82, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7844, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, build_cpu_time: 298.6946, build_memory: 142761590.4, f_measure: 0.8341, kappa: 0.6681, kb_relative_information_score: 331.5071, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8358, predictive_accuracy: 0.834, prior_entropy: 0.9978, recall: 0.834, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7841, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 645.2608, build_memory: 799693310.4, f_measure: 0.8481, kappa: 0.6955, kb_relative_information_score: 346.9098, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9978, recall: 0.848, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7556, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, build_cpu_time: 1254.2949, build_memory: 1048755107.2, f_measure: 0.862, kappa: 0.7232, kb_relative_information_score: 361.2826, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9978, recall: 0.862, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7363, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, build_cpu_time: 96.169, build_memory: 100391000.8, f_measure: 0.838, kappa: 0.6749, kb_relative_information_score: 340.1758, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9978, recall: 0.838, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7877, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, build_cpu_time: 48.4351, build_memory: 731970317.6, f_measure: 0.838, kappa: 0.6752, kb_relative_information_score: 335.6365, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9978, recall: 0.838, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7896, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 23.4671, build_memory: 1442353542.4, f_measure: 0.8361, kappa: 0.6713, kb_relative_information_score: 329.7627, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9978, recall: 0.836, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.783, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 10.4046, build_memory: 643927464, f_measure: 0.8259, kappa: 0.6505, kb_relative_information_score: 314.2654, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9978, recall: 0.826, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7968, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 2.3403, build_memory: 59316130.4, f_measure: 0.8038, kappa: 0.6061, kb_relative_information_score: 298.0609, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.804, predictive_accuracy: 0.804, prior_entropy: 0.9978, recall: 0.804, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8122, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, build_cpu_time: 4.3752, build_memory: 77205712, f_measure: 0.83, kappa: 0.6589, kb_relative_information_score: 321.0998, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 0.9978, recall: 0.83, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7843, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, build_cpu_time: 9.5465, build_memory: 257004274.4, f_measure: 0.844, kappa: 0.687, kb_relative_information_score: 339.6893, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9978, recall: 0.844, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7746, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, build_cpu_time: 17.2224, build_memory: 1511545799.2, f_measure: 0.868, kappa: 0.7351, kb_relative_information_score: 367.7803, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9978, recall: 0.868, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7063, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 37.4608, build_memory: 1131933211.2, f_measure: 0.87, kappa: 0.7392, kb_relative_information_score: 370.5237, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9978, recall: 0.87, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7115, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, build_cpu_time: 10.2469, build_memory: 379248057.6, f_measure: 0.8718, kappa: 0.7425, kb_relative_information_score: 368.6302, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8725, predictive_accuracy: 0.872, prior_entropy: 0.9978, recall: 0.872, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.694, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, build_cpu_time: 6.4557, build_memory: 848152520.8, f_measure: 0.8698, kappa: 0.7387, kb_relative_information_score: 365.6196, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9978, recall: 0.87, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.696, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, build_cpu_time: 3.5208, build_memory: 1298138820, f_measure: 0.8714, kappa: 0.7419, kb_relative_information_score: 363.4528, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.8743, predictive_accuracy: 0.872, prior_entropy: 0.9978, recall: 0.872, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6943, scimark_benchmark: 934.8107,

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