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OpenML
Task
Supervised Classification on fri_c2_1000_25

Supervised Classification on fri_c2_1000_25

Task 3766 Supervised Classification fri_c2_1000_25 436 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: 0.6974, f_measure: 0.6831, kappa: 0.3545, kb_relative_information_score: 240.7152, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6827, predictive_accuracy: 0.684, prior_entropy: 0.9886, recall: 0.684, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.49, root_relative_squared_error: 0.988, scimark_benchmark: 1324.8395, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.4198, kappa: 0.1248, kb_relative_information_score: 9.4964, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.516, prior_entropy: 0.9886, recall: 0.516, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.4026, scimark_benchmark: 1325.2092, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5736, kappa: 0.1633, kb_relative_information_score: 210.0435, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6195, predictive_accuracy: 0.614, prior_entropy: 0.9886, recall: 0.614, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2526, scimark_benchmark: 1333.5799, usercpu_time_millis: 880, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7286, kappa: 0.4503, kb_relative_information_score: 443.333, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.73, predictive_accuracy: 0.728, prior_entropy: 0.9886, recall: 0.728, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0515, scimark_benchmark: 1337.7959, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.7663, kappa: 0.5242, kb_relative_information_score: 169.7129, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7663, predictive_accuracy: 0.767, prior_entropy: 0.9886, recall: 0.767, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.92, scimark_benchmark: 1386.5717, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6728, kappa: 0.3346, kb_relative_information_score: 330.7811, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6726, predictive_accuracy: 0.673, prior_entropy: 0.9886, recall: 0.673, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1529, scimark_benchmark: 935.5075, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.6853, kappa: 0.361, kb_relative_information_score: 260.0193, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6856, predictive_accuracy: 0.685, prior_entropy: 0.9886, recall: 0.685, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9231, scimark_benchmark: 934.1747, usercpu_time_millis: 35370, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 34880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7475, kappa: 0.4883, kb_relative_information_score: 482.2146, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.747, prior_entropy: 0.9886, recall: 0.747, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0141, scimark_benchmark: 934.0566, usercpu_time_millis: 540, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8609, kappa: 0.7173, kb_relative_information_score: 656.0256, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8609, predictive_accuracy: 0.861, prior_entropy: 0.9886, recall: 0.861, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6472, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.879, kappa: 0.754, kb_relative_information_score: 677.3694, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.879, predictive_accuracy: 0.879, prior_entropy: 0.9886, recall: 0.879, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6099, scimark_benchmark: 1304.9611, usercpu_time_millis: 100, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.878, kappa: 0.7521, kb_relative_information_score: 672.5314, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6202, scimark_benchmark: 932.251, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.868, kappa: 0.7319, kb_relative_information_score: 688.0543, mean_absolute_error: 0.1596, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9886, recall: 0.868, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6523, scimark_benchmark: 936.1679, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.883, kappa: 0.7623, kb_relative_information_score: 558.2758, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.883, predictive_accuracy: 0.883, prior_entropy: 0.9886, recall: 0.883, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6056, scimark_benchmark: 1280.6952, usercpu_time_millis: 450, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.787, kappa: 0.5672, kb_relative_information_score: 564.0706, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7871, predictive_accuracy: 0.787, prior_entropy: 0.9886, recall: 0.787, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9305, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.88, kappa: 0.756, kb_relative_information_score: 683.0836, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9886, recall: 0.88, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6329, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8787, kappa: 0.7529, kb_relative_information_score: 682.1007, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.879, predictive_accuracy: 0.879, prior_entropy: 0.9886, recall: 0.879, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6462, scimark_benchmark: 1327.6929, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.5963, kappa: 0.1967, kb_relative_information_score: 234.6003, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6295, predictive_accuracy: 0.626, prior_entropy: 0.9886, recall: 0.626, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2329, scimark_benchmark: 825.5282, usercpu_time_millis: 1040, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2658, kb_relative_information_score: -152.1692, mean_absolute_error: 0.563, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.191, predictive_accuracy: 0.437, prior_entropy: 0.9886, recall: 0.437, relative_absolute_error: 1.1441, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.7503, root_relative_squared_error: 1.5127, scimark_benchmark: 1337.7959, usercpu_time_millis: 1100, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8537, kappa: 0.7022, kb_relative_information_score: 692.7988, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9886, recall: 0.854, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7082, scimark_benchmark: 1465.2979, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.7718, kappa: 0.5357, kb_relative_information_score: 533.3746, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7716, predictive_accuracy: 0.772, prior_entropy: 0.9886, recall: 0.772, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9627, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8808, kappa: 0.7575, kb_relative_information_score: 756.4321, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8809, predictive_accuracy: 0.881, prior_entropy: 0.9886, recall: 0.881, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6955, scimark_benchmark: 1353.5686, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4056, kb_relative_information_score: -0.0413, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.871, kappa: 0.7378, kb_relative_information_score: 720.0656, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7054, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.7806, kappa: 0.5561, kb_relative_information_score: 526.8884, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7824, predictive_accuracy: 0.78, prior_entropy: 0.9886, recall: 0.78, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9077, scimark_benchmark: 927.0753, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7614, kappa: 0.5164, kb_relative_information_score: 457.1112, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7623, predictive_accuracy: 0.761, prior_entropy: 0.9886, recall: 0.761, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8707, scimark_benchmark: 945.6434, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7631, kappa: 0.5187, kb_relative_information_score: 381.5216, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7632, predictive_accuracy: 0.763, prior_entropy: 0.9886, recall: 0.763, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8219, scimark_benchmark: 876.8277, usercpu_time_millis: 1840, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7631, kappa: 0.5187, kb_relative_information_score: 381.5216, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7632, predictive_accuracy: 0.763, prior_entropy: 0.9886, recall: 0.763, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8219, scimark_benchmark: 923.7642, usercpu_time_millis: 230, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7631, kappa: 0.5187, kb_relative_information_score: 381.5216, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7632, predictive_accuracy: 0.763, prior_entropy: 0.9886, recall: 0.763, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8219, scimark_benchmark: 894.7455, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8979, kappa: 0.7923, kb_relative_information_score: 779.3353, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8979, predictive_accuracy: 0.898, prior_entropy: 0.9886, recall: 0.898, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.5992, scimark_benchmark: 936.7115, usercpu_time_millis: 1730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.865, kappa: 0.7256, kb_relative_information_score: 722.0347, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 0.9886, recall: 0.865, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6665, scimark_benchmark: 938.2848, usercpu_time_millis: 870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8362, kappa: 0.6676, kb_relative_information_score: 659.1949, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8366, predictive_accuracy: 0.836, prior_entropy: 0.9886, recall: 0.836, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7441, scimark_benchmark: 936.6206, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.7835, kappa: 0.5616, kb_relative_information_score: 570.7354, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7849, predictive_accuracy: 0.783, prior_entropy: 0.9886, recall: 0.783, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8641, scimark_benchmark: 922.9039, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7797, kappa: 0.5549, kb_relative_information_score: 543.4234, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7823, predictive_accuracy: 0.779, prior_entropy: 0.9886, recall: 0.779, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9142, scimark_benchmark: 938.9865, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8988, kappa: 0.7941, kb_relative_information_score: 760.125, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8989, predictive_accuracy: 0.899, prior_entropy: 0.9886, recall: 0.899, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5287, scimark_benchmark: 933.8635, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8879, kappa: 0.7719, kb_relative_information_score: 655.8733, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.9886, recall: 0.888, relative_absolute_error: 0.3711, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5682, scimark_benchmark: 947.9494, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8671, kappa: 0.7299, kb_relative_information_score: 563.9444, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8671, predictive_accuracy: 0.867, prior_entropy: 0.9886, recall: 0.867, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6423, scimark_benchmark: 929.566, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4056, kb_relative_information_score: -0.0413, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6509, kappa: 0.358, kb_relative_information_score: 207.0731, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.742, predictive_accuracy: 0.663, prior_entropy: 0.9886, recall: 0.663, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9285, scimark_benchmark: 943.2745, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8507, kappa: 0.696, kb_relative_information_score: 570.3073, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8507, predictive_accuracy: 0.851, prior_entropy: 0.9886, recall: 0.851, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6603, scimark_benchmark: 930.32, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8783, kappa: 0.7538, kb_relative_information_score: 593.0803, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8801, predictive_accuracy: 0.878, prior_entropy: 0.9886, recall: 0.878, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6159, scimark_benchmark: 902.4773, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.4056, kb_relative_information_score: -0.0413, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8671, kappa: 0.7299, kb_relative_information_score: 563.9444, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8671, predictive_accuracy: 0.867, prior_entropy: 0.9886, recall: 0.867, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6423, scimark_benchmark: 911.0478, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 105.6771, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3327, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.871, kappa: 0.7378, kb_relative_information_score: 720.0656, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 0.9886, recall: 0.871, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7054, scimark_benchmark: 929.0255, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.874, kappa: 0.7441, kb_relative_information_score: 419.1413, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8741, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7041, scimark_benchmark: 947.9494, usercpu_time_millis: 4980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7877, kappa: 0.571, kb_relative_information_score: 351.8517, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.7903, predictive_accuracy: 0.787, prior_entropy: 0.9886, recall: 0.787, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8227, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 105.6771, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3327, scimark_benchmark: 891.2195, usercpu_time_millis: 920, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.6229, kappa: 0.2332, kb_relative_information_score: 222.9789, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6227, predictive_accuracy: 0.623, prior_entropy: 0.9886, recall: 0.623, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0453, scimark_benchmark: 901.0726, usercpu_time_millis: 17350, usercpu_time_millis_testing: 17330, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9009, kappa: 0.7985, kb_relative_information_score: 746.3829, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9009, predictive_accuracy: 0.901, prior_entropy: 0.9886, recall: 0.901, relative_absolute_error: 0.2685, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5984, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.9098, kappa: 0.8163, kb_relative_information_score: 816.6283, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9101, predictive_accuracy: 0.91, prior_entropy: 0.9886, recall: 0.91, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5999, scimark_benchmark: 889.9795, usercpu_time_millis: 8240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8809, kappa: 0.7579, kb_relative_information_score: 742.6281, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8809, predictive_accuracy: 0.881, prior_entropy: 0.9886, recall: 0.881, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6635, scimark_benchmark: 935.8834, usercpu_time_millis: 1910, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9029, kappa: 0.8024, kb_relative_information_score: 784.3044, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.9029, predictive_accuracy: 0.903, prior_entropy: 0.9886, recall: 0.903, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.5757, scimark_benchmark: 931.4202, usercpu_time_millis: 1470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.879, kappa: 0.754, kb_relative_information_score: 677.3694, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.879, predictive_accuracy: 0.879, prior_entropy: 0.9886, recall: 0.879, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6099, scimark_benchmark: 935.8986, usercpu_time_millis: 170, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.5904, kappa: 0.1894, kb_relative_information_score: 230.5075, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6295, predictive_accuracy: 0.624, prior_entropy: 0.9886, recall: 0.624, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2362, scimark_benchmark: 934.6252, usercpu_time_millis: 1490, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.6937, kappa: 0.3797, kb_relative_information_score: 371.709, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.6952, predictive_accuracy: 0.693, prior_entropy: 0.9886, recall: 0.693, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5541, root_relative_squared_error: 1.1171, scimark_benchmark: 947.4269, 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

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