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OpenML
OpenML
Supervised Classification on fri_c3_1000_50

Supervised Classification on fri_c3_1000_50

Task 3671 Supervised Classification fri_c3_1000_50 418 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: 0.5864, f_measure: 0.5767, kappa: 0.1406, kb_relative_information_score: 95.2748, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.5759, predictive_accuracy: 0.579, prior_entropy: 0.9913, recall: 0.579, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0826, scimark_benchmark: 854.5188, usercpu_time_millis: 1100, usercpu_time_millis_testing: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3984, kappa: 0.0025, kb_relative_information_score: 96.3264, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.7533, predictive_accuracy: 0.556, prior_entropy: 0.9913, recall: 0.556, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3408, scimark_benchmark: 940.3347, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5221, kappa: 0.1184, kb_relative_information_score: 179.7705, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6323, predictive_accuracy: 0.597, prior_entropy: 0.9913, recall: 0.597, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6348, root_relative_squared_error: 1.2774, scimark_benchmark: 1315.395, usercpu_time_millis: 870, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6716, kappa: 0.3345, kb_relative_information_score: 332.4121, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6713, predictive_accuracy: 0.672, prior_entropy: 0.9913, recall: 0.672, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1524, scimark_benchmark: 1250.8301, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.6667, kappa: 0.3232, kb_relative_information_score: 168.0384, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.668, predictive_accuracy: 0.67, prior_entropy: 0.9913, recall: 0.67, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.927, scimark_benchmark: 1335.643, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6787, kappa: 0.3488, kb_relative_information_score: 346.6587, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6784, predictive_accuracy: 0.679, prior_entropy: 0.9913, recall: 0.679, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.1401, scimark_benchmark: 916.5955, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.6669, kappa: 0.3243, kb_relative_information_score: 242.9628, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6666, predictive_accuracy: 0.668, prior_entropy: 0.9913, recall: 0.668, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9569, scimark_benchmark: 923.988, usercpu_time_millis: 14150, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 13450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6665, kappa: 0.3229, kb_relative_information_score: 328.3417, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.668, predictive_accuracy: 0.67, prior_entropy: 0.9913, recall: 0.67, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1559, scimark_benchmark: 1363.434, usercpu_time_millis: 870, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8358, kappa: 0.6671, kb_relative_information_score: 604.5067, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9913, recall: 0.836, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6687, scimark_benchmark: 1325.942, usercpu_time_millis: 910, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.834, kappa: 0.6639, kb_relative_information_score: 600.4508, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9913, recall: 0.834, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6767, scimark_benchmark: 1028.5889, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8396, kappa: 0.6746, kb_relative_information_score: 630.2358, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8398, predictive_accuracy: 0.84, prior_entropy: 0.9913, recall: 0.84, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.722, scimark_benchmark: 1250.8301, usercpu_time_millis: 1260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8656, kappa: 0.7273, kb_relative_information_score: 421.6643, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9913, recall: 0.866, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7041, scimark_benchmark: 1280.6952, usercpu_time_millis: 610, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7438, kappa: 0.481, kb_relative_information_score: 478.9481, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.744, prior_entropy: 0.9913, recall: 0.744, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0181, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8265, kappa: 0.6481, kb_relative_information_score: 577.0477, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8268, predictive_accuracy: 0.827, prior_entropy: 0.9913, recall: 0.827, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7457, scimark_benchmark: 1318.5526, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8404, kappa: 0.6762, kb_relative_information_score: 595.9887, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8411, predictive_accuracy: 0.841, prior_entropy: 0.9913, recall: 0.841, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7355, scimark_benchmark: 1290.1085, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5713, f_measure: 0.5006, kappa: 0.1326, kb_relative_information_score: 61.7277, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6174, predictive_accuracy: 0.539, prior_entropy: 0.9913, recall: 0.539, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.679, root_relative_squared_error: 1.3662, scimark_benchmark: 1320.2556, usercpu_time_millis: 640, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2741, kb_relative_information_score: -129.5832, mean_absolute_error: 0.555, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.198, predictive_accuracy: 0.445, prior_entropy: 0.9913, recall: 0.445, relative_absolute_error: 1.1236, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.745, root_relative_squared_error: 1.4991, scimark_benchmark: 1363.454, usercpu_time_millis: 1250, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8275, kappa: 0.6502, kb_relative_information_score: 627.5904, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9913, recall: 0.828, relative_absolute_error: 0.3742, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8047, scimark_benchmark: 1465.2979, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7546, kappa: 0.5026, kb_relative_information_score: 501.3355, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.7545, predictive_accuracy: 0.755, prior_entropy: 0.9913, recall: 0.755, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.495, root_relative_squared_error: 0.996, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.8343, kappa: 0.6638, kb_relative_information_score: 664.1532, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 0.9913, recall: 0.835, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8174, scimark_benchmark: 1353.5686, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.3962, kb_relative_information_score: -0.04, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.308, predictive_accuracy: 0.555, prior_entropy: 0.9913, recall: 0.555, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8381, kappa: 0.6723, kb_relative_information_score: 658.7437, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9913, recall: 0.838, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7944, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.6731, kappa: 0.3363, kb_relative_information_score: 333.9102, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6732, predictive_accuracy: 0.675, prior_entropy: 0.9913, recall: 0.675, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5283, root_relative_squared_error: 1.063, scimark_benchmark: 931.2336, usercpu_time_millis: 640, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.6689, kappa: 0.3276, kb_relative_information_score: 265.146, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.67, predictive_accuracy: 0.672, prior_entropy: 0.9913, recall: 0.672, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 945.6434, usercpu_time_millis: 470, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.654, kappa: 0.2973, kb_relative_information_score: 232.412, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6547, predictive_accuracy: 0.657, prior_entropy: 0.9913, recall: 0.657, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.957, scimark_benchmark: 941.7954, usercpu_time_millis: 390, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.654, kappa: 0.2973, kb_relative_information_score: 232.412, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6547, predictive_accuracy: 0.657, prior_entropy: 0.9913, recall: 0.657, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.957, scimark_benchmark: 923.7642, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.654, kappa: 0.2973, kb_relative_information_score: 232.412, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6547, predictive_accuracy: 0.657, prior_entropy: 0.9913, recall: 0.657, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.957, scimark_benchmark: 894.7455, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8818, kappa: 0.7605, kb_relative_information_score: 748.4776, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9913, recall: 0.882, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6261, scimark_benchmark: 936.7115, usercpu_time_millis: 3350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8639, kappa: 0.7243, kb_relative_information_score: 708.7342, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9913, recall: 0.864, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6651, scimark_benchmark: 943.2817, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.837, kappa: 0.6699, kb_relative_information_score: 645.0055, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.837, predictive_accuracy: 0.837, prior_entropy: 0.9913, recall: 0.837, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7234, scimark_benchmark: 911.3823, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7922, kappa: 0.58, kb_relative_information_score: 538.8933, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.7927, predictive_accuracy: 0.792, prior_entropy: 0.9913, recall: 0.792, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8241, scimark_benchmark: 933.8635, usercpu_time_millis: 570, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7288, kappa: 0.4552, kb_relative_information_score: 422.0753, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.733, predictive_accuracy: 0.728, prior_entropy: 0.9913, recall: 0.728, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9242, scimark_benchmark: 938.4278, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8898, kappa: 0.7766, kb_relative_information_score: 720.9361, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9913, recall: 0.89, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5852, scimark_benchmark: 936.6206, usercpu_time_millis: 2100, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8756, kappa: 0.7475, kb_relative_information_score: 619.996, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9913, recall: 0.876, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6077, scimark_benchmark: 947.9494, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8498, kappa: 0.6955, kb_relative_information_score: 527.8798, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9913, recall: 0.85, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.673, scimark_benchmark: 929.566, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.3962, kb_relative_information_score: -0.04, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.308, predictive_accuracy: 0.555, prior_entropy: 0.9913, recall: 0.555, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.617, kappa: 0.2842, kb_relative_information_score: 170.2899, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6821, predictive_accuracy: 0.628, prior_entropy: 0.9913, recall: 0.628, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.959, scimark_benchmark: 943.2745, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8439, kappa: 0.6838, kb_relative_information_score: 571.528, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9913, recall: 0.844, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.659, scimark_benchmark: 947.9494, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8133, kappa: 0.6227, kb_relative_information_score: 459.615, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8139, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7193, scimark_benchmark: 930.32, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.3962, kb_relative_information_score: -0.04, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.308, predictive_accuracy: 0.555, prior_entropy: 0.9913, recall: 0.555, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8498, kappa: 0.6955, kb_relative_information_score: 527.8798, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9913, recall: 0.85, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.673, scimark_benchmark: 911.0478, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3962, kb_relative_information_score: 94.2912, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.308, predictive_accuracy: 0.555, prior_entropy: 0.9913, recall: 0.555, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6671, root_relative_squared_error: 1.3423, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8381, kappa: 0.6723, kb_relative_information_score: 658.7437, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9913, recall: 0.838, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7944, scimark_benchmark: 904.3001, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8698, kappa: 0.7362, kb_relative_information_score: 450.9667, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 0.9913, recall: 0.87, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.689, scimark_benchmark: 947.9494, usercpu_time_millis: 4210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7282, kappa: 0.4501, kb_relative_information_score: 210.0078, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.7284, predictive_accuracy: 0.728, prior_entropy: 0.9913, recall: 0.728, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8884, scimark_benchmark: 917.7039, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3962, kb_relative_information_score: 94.2912, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.308, predictive_accuracy: 0.555, prior_entropy: 0.9913, recall: 0.555, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6671, root_relative_squared_error: 1.3423, scimark_benchmark: 941.7954, usercpu_time_millis: 1260, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.5412, kappa: 0.142, kb_relative_information_score: 198.0875, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6393, predictive_accuracy: 0.606, prior_entropy: 0.9913, recall: 0.606, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2631, scimark_benchmark: 941.8057, usercpu_time_millis: 1390, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8946, kappa: 0.7861, kb_relative_information_score: 784.5745, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8955, predictive_accuracy: 0.895, prior_entropy: 0.9913, recall: 0.895, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6508, scimark_benchmark: 945.3151, usercpu_time_millis: 16160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 16100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8966, kappa: 0.7901, kb_relative_information_score: 791.32, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8977, predictive_accuracy: 0.897, prior_entropy: 0.9913, recall: 0.897, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6408, scimark_benchmark: 929.566, usercpu_time_millis: 31890, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 31740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8759, kappa: 0.7485, kb_relative_information_score: 739.5972, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9913, recall: 0.876, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6509, scimark_benchmark: 868.2731, usercpu_time_millis: 3400, usercpu_time_millis_training: 3400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.6483, kappa: 0.2886, kb_relative_information_score: 187.765, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6487, predictive_accuracy: 0.648, prior_entropy: 0.9913, recall: 0.648, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.957, scimark_benchmark: 948.1045, usercpu_time_millis: 1450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8798, kappa: 0.7564, kb_relative_information_score: 736.5093, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9913, recall: 0.88, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.621, scimark_benchmark: 938.9865, usercpu_time_millis: 3420, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8358, kappa: 0.6671, kb_relative_information_score: 604.5067, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 0.9913, recall: 0.836, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6687, scimark_benchmark: 904.3001, usercpu_time_millis: 1450, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.5412, kappa: 0.142, kb_relative_information_score: 198.0875, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6393, predictive_accuracy: 0.606, prior_entropy: 0.9913, recall: 0.606, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2631, scimark_benchmark: 928.3108, usercpu_time_millis: 1370, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.6586, kappa: 0.3067, kb_relative_information_score: 310.0247, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.6589, predictive_accuracy: 0.661, prior_entropy: 0.9913, recall: 0.661, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1716, scimark_benchmark: 799.2185, usercpu_time_millis: 190, usercpu_time_millis_training: 190,

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