OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32444 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8717, kappa: 0.6865, kb_relative_information_score: 17042.685, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8721, predictive_accuracy: 0.8714, prior_entropy: 0.863, recall: 0.8714, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.665, scimark_benchmark: 1302.4725, usercpu_time_millis: 366.809, usercpu_time_millis_testing: 7.331, usercpu_time_millis_training: 359.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9447, kappa: 0.8639, kb_relative_information_score: 26669.6435, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.945, prior_entropy: 0.863, recall: 0.945, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4576, scimark_benchmark: 1921.233, usercpu_time_millis: 207.443, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 206.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29932.7847, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3516, scimark_benchmark: 1846.89, usercpu_time_millis: 196.792, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 195.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 29391.1717, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3685, scimark_benchmark: 1250.6855, usercpu_time_millis: 1409.829, usercpu_time_millis_testing: 2.486, usercpu_time_millis_training: 1407.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9346, kappa: 0.8379, kb_relative_information_score: 25948.0426, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4816, scimark_benchmark: 1779.8867, usercpu_time_millis: 1248.352, usercpu_time_millis_testing: 4.342, usercpu_time_millis_training: 1244.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8638, kappa: 0.6707, kb_relative_information_score: 17370.4627, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8665, predictive_accuracy: 0.8622, prior_entropy: 0.863, recall: 0.8622, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6886, scimark_benchmark: 738.0474, usercpu_time_millis: 1348.483, usercpu_time_millis_testing: 9.801, usercpu_time_millis_training: 1338.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28524.6088, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3893, scimark_benchmark: 741.985, usercpu_time_millis: 1450.379, usercpu_time_millis_testing: 24.163, usercpu_time_millis_training: 1426.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9164, kappa: 0.7896, kb_relative_information_score: 24371.0436, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9193, prior_entropy: 0.863, recall: 0.9193, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5217, scimark_benchmark: 1817.2766, usercpu_time_millis: 1751.736, usercpu_time_millis_testing: 9.381, usercpu_time_millis_training: 1742.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9496, kappa: 0.8764, kb_relative_information_score: 27333.9248, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4364, scimark_benchmark: 1711.1124, usercpu_time_millis: 4994.029, usercpu_time_millis_testing: 21.158, usercpu_time_millis_training: 4972.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.3802, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1711.7794, usercpu_time_millis: 17.537, usercpu_time_millis_testing: 2.381, usercpu_time_millis_training: 15.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9462, kappa: 0.8675, kb_relative_information_score: 26690.6036, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525, scimark_benchmark: 1721.4643, usercpu_time_millis: 252.574, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 250.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.9842, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1723.6152, usercpu_time_millis: 27.179, usercpu_time_millis_testing: 3.984, usercpu_time_millis_training: 23.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.81, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1948.6731, usercpu_time_millis: 38.866, usercpu_time_millis_testing: 4.961, usercpu_time_millis_training: 33.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.8894, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1720.012, usercpu_time_millis: 66.715, usercpu_time_millis_testing: 5.081, usercpu_time_millis_training: 61.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9678, kappa: 0.9208, kb_relative_information_score: 29290.2814, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3517, scimark_benchmark: 1760.8214, usercpu_time_millis: 83.859, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 81.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9432, kappa: 0.8598, kb_relative_information_score: 26071.8001, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4576, scimark_benchmark: 1720.4927, usercpu_time_millis: 14.913, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 14.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.961, kappa: 0.904, kb_relative_information_score: 27348.5126, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1729.7915, usercpu_time_millis: 39.219, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 37.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9556, kappa: 0.8912, kb_relative_information_score: 28027.2259, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.4127, scimark_benchmark: 1692.5374, usercpu_time_millis: 960.171, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 955.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9163, kappa: 0.7898, kb_relative_information_score: 23813.9101, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.526, scimark_benchmark: 1721.7018, usercpu_time_millis: 1374.475, usercpu_time_millis_testing: 8.809, usercpu_time_millis_training: 1365.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9149, kappa: 0.7859, kb_relative_information_score: 24361.8122, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.918, prior_entropy: 0.863, recall: 0.918, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5283, scimark_benchmark: 1857.5664, usercpu_time_millis: 3073.909, usercpu_time_millis_testing: 11.852, usercpu_time_millis_training: 3062.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9319, kappa: 0.8314, kb_relative_information_score: 25485.1277, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.2645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4965, scimark_benchmark: 1795.0654, usercpu_time_millis: 3091.221, usercpu_time_millis_testing: 7.25, usercpu_time_millis_training: 3083.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9171, kappa: 0.7917, kb_relative_information_score: 22214.6512, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.542, scimark_benchmark: 1727.7368, usercpu_time_millis: 999.111, usercpu_time_millis_testing: 11.956, usercpu_time_millis_training: 987.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9504, kappa: 0.8784, kb_relative_information_score: 27922.0472, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, scimark_benchmark: 1030.768, usercpu_time_millis: 9918.065, usercpu_time_millis_testing: 19.377, usercpu_time_millis_training: 9898.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.932, kappa: 0.8309, kb_relative_information_score: 25191.4866, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4988, scimark_benchmark: 1773.5278, usercpu_time_millis: 834.964, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 832.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9505, kappa: 0.8776, kb_relative_information_score: 25842.9538, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.445, scimark_benchmark: 1724.8424, usercpu_time_millis: 424.464, usercpu_time_millis_testing: 30.313, usercpu_time_millis_training: 394.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9588, kappa: 0.8987, kb_relative_information_score: 28549.8883, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.399, scimark_benchmark: 1723.3945, usercpu_time_millis: 55.022, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 54.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9292, kappa: 0.8222, kb_relative_information_score: 19085.6215, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5828, scimark_benchmark: 1748.3487, usercpu_time_millis: 153.96, usercpu_time_millis_testing: 10.233, usercpu_time_millis_training: 143.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8631, kappa: 0.6642, kb_relative_information_score: 16045.961, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.863, predictive_accuracy: 0.8632, prior_entropy: 0.863, recall: 0.8632, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6965, scimark_benchmark: 1729.3908, usercpu_time_millis: 196.508, usercpu_time_millis_testing: 5.727, usercpu_time_millis_training: 190.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9533, kappa: 0.8847, kb_relative_information_score: 26332.6281, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326, scimark_benchmark: 1810.1613, usercpu_time_millis: 247.589, usercpu_time_millis_testing: 11.4, usercpu_time_millis_training: 236.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9555, kappa: 0.8906, kb_relative_information_score: 27940.5426, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.186, root_relative_squared_error: 0.4118, scimark_benchmark: 1802.9251, usercpu_time_millis: 351.801, usercpu_time_millis_testing: 3.558, usercpu_time_millis_training: 348.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8687, kappa: 0.6806, kb_relative_information_score: 17482.4872, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.87, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6826, scimark_benchmark: 1746.3904, usercpu_time_millis: 46.399, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 45.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9589, kappa: 0.8991, kb_relative_information_score: 28369.2847, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3971, scimark_benchmark: 1762.3752, usercpu_time_millis: 445.894, usercpu_time_millis_testing: 3.774, usercpu_time_millis_training: 442.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9489, kappa: 0.8733, kb_relative_information_score: 23917.0107, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9496, prior_entropy: 0.863, recall: 0.9496, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4782, scimark_benchmark: 1718.7071, usercpu_time_millis: 166.658, usercpu_time_millis_testing: 9.785, usercpu_time_millis_training: 156.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9289, kappa: 0.8231, kb_relative_information_score: 21505.7742, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5417, scimark_benchmark: 1728.1079, usercpu_time_millis: 222.291, usercpu_time_millis_testing: 7.889, usercpu_time_millis_training: 214.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8683, kappa: 0.6791, kb_relative_information_score: 17364.8395, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8692, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6778, scimark_benchmark: 1716.6025, usercpu_time_millis: 161.774, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 160.497,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.963, kappa: 0.9093, kb_relative_information_score: 29036.0592, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1711.2011, usercpu_time_millis: 381.934, usercpu_time_millis_testing: 2.278, usercpu_time_millis_training: 379.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9334, kappa: 0.8346, kb_relative_information_score: 25194.9749, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4924, scimark_benchmark: 1727.1069, usercpu_time_millis: 1121.598, usercpu_time_millis_testing: 9.431, usercpu_time_millis_training: 1112.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8644, kappa: 0.6721, kb_relative_information_score: 17346.0855, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8671, predictive_accuracy: 0.8628, prior_entropy: 0.863, recall: 0.8628, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6877, scimark_benchmark: 1694.0463, usercpu_time_millis: 1462.471, usercpu_time_millis_testing: 10.002, usercpu_time_millis_training: 1452.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9111, kappa: 0.7794, kb_relative_information_score: 21757.0397, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9114, predictive_accuracy: 0.9125, prior_entropy: 0.863, recall: 0.9125, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.563, scimark_benchmark: 1759.3078, usercpu_time_millis: 873.566, usercpu_time_millis_testing: 7.268, usercpu_time_millis_training: 866.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 28953.2808, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1726.5408, usercpu_time_millis: 913.009, usercpu_time_millis_testing: 11.469, usercpu_time_millis_training: 901.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9501, kappa: 0.8775, kb_relative_information_score: 27149.5488, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4369, scimark_benchmark: 1728.518, usercpu_time_millis: 1043.375, usercpu_time_millis_testing: 10.578, usercpu_time_millis_training: 1032.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 27733.5306, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4149, scimark_benchmark: 1719.3991, usercpu_time_millis: 1365.756, usercpu_time_millis_testing: 12.663, usercpu_time_millis_training: 1353.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8638, kappa: 0.6669, kb_relative_information_score: 16571.879, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8641, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6968, scimark_benchmark: 1748.2211, usercpu_time_millis: 335.498, usercpu_time_millis_testing: 6.327, usercpu_time_millis_training: 329.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9595, kappa: 0.9005, kb_relative_information_score: 28249.2846, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3941, scimark_benchmark: 1746.4075, usercpu_time_millis: 450.505, usercpu_time_millis_testing: 10.148, usercpu_time_millis_training: 440.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9595, kappa: 0.9004, kb_relative_information_score: 28384.1048, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3923, scimark_benchmark: 1747.0108, usercpu_time_millis: 372.11, usercpu_time_millis_testing: 7.905, usercpu_time_millis_training: 364.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29250.7352, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1712.0526, usercpu_time_millis: 402.304, usercpu_time_millis_testing: 4.832, usercpu_time_millis_training: 397.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 12.0373, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1947.3169, usercpu_time_millis: 11.731, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 11.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -6.4359, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 12.078, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 10.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8579, kappa: 0.6543, kb_relative_information_score: 15420.8222, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.857, prior_entropy: 0.863, recall: 0.857, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.74, scimark_benchmark: 1720.615, usercpu_time_millis: 91.5, usercpu_time_millis_testing: 1.739, usercpu_time_millis_training: 89.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9601, kappa: 0.9014, kb_relative_information_score: 26148.2925, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172, scimark_benchmark: 1779.2132, usercpu_time_millis: 54.925, usercpu_time_millis_testing: 3.354, usercpu_time_millis_training: 51.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -11.8749, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1802.1206, usercpu_time_millis: 63.17, usercpu_time_millis_testing: 3.479, usercpu_time_millis_training: 59.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9553, kappa: 0.8905, kb_relative_information_score: 27914.5538, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4143, scimark_benchmark: 1726.5817, usercpu_time_millis: 3124.847, usercpu_time_millis_testing: 15.702, usercpu_time_millis_training: 3109.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29768.2305, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3482, scimark_benchmark: 2142.1898, usercpu_time_millis: 535.672, usercpu_time_millis_testing: 4.785, usercpu_time_millis_training: 530.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9602, kappa: 0.9024, kb_relative_information_score: 28753.4601, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3896, scimark_benchmark: 1737.2316, usercpu_time_millis: 4720.664, usercpu_time_millis_testing: 15.678, usercpu_time_millis_training: 4704.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9437, kappa: 0.8613, kb_relative_information_score: 26328.2398, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4576, scimark_benchmark: 1722.8391, usercpu_time_millis: 961.313, usercpu_time_millis_testing: 12.08, usercpu_time_millis_training: 949.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8639, kappa: 0.6711, kb_relative_information_score: 17342.8396, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8623, prior_entropy: 0.863, recall: 0.8623, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6891, scimark_benchmark: 1772.9726, usercpu_time_millis: 2266.45, usercpu_time_millis_testing: 11.964, usercpu_time_millis_training: 2254.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.3187, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1833.1413, usercpu_time_millis: 50.321, usercpu_time_millis_testing: 6.973, usercpu_time_millis_training: 43.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9558, kappa: 0.8917, kb_relative_information_score: 28048.4064, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4121, scimark_benchmark: 1854.9533, usercpu_time_millis: 2442.104, usercpu_time_millis_testing: 10.453, usercpu_time_millis_training: 2431.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9143, kappa: 0.7842, kb_relative_information_score: 24341.4607, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9174, prior_entropy: 0.863, recall: 0.9174, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5331, scimark_benchmark: 1738.2387, usercpu_time_millis: 871.263, usercpu_time_millis_testing: 2.745, usercpu_time_millis_training: 868.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28648.7962, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3822, scimark_benchmark: 1730.4357, usercpu_time_millis: 874.041, usercpu_time_millis_testing: 14.789, usercpu_time_millis_training: 859.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8683, kappa: 0.68, kb_relative_information_score: 17395.7933, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8699, predictive_accuracy: 0.8672, prior_entropy: 0.863, recall: 0.8672, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6847, scimark_benchmark: 1729.1908, usercpu_time_millis: 879.285, usercpu_time_millis_testing: 6.22, usercpu_time_millis_training: 873.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9583, kappa: 0.8972, kb_relative_information_score: 27354.0688, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4053, scimark_benchmark: 1803.9973, usercpu_time_millis: 389.385, usercpu_time_millis_testing: 13.473, usercpu_time_millis_training: 375.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9548, kappa: 0.8891, kb_relative_information_score: 27498.743, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4192, scimark_benchmark: 1750.2753, usercpu_time_millis: 441.809, usercpu_time_millis_testing: 6.502, usercpu_time_millis_training: 435.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9534, kappa: 0.8855, kb_relative_information_score: 27532.2347, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4246, scimark_benchmark: 1965.5475, usercpu_time_millis: 871.816, usercpu_time_millis_testing: 12.858, usercpu_time_millis_training: 858.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 29020.1867, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3754, scimark_benchmark: 1747.206, usercpu_time_millis: 530.831, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 526.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9188, kappa: 0.7959, kb_relative_information_score: 24582.1118, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9214, prior_entropy: 0.863, recall: 0.9214, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5152, scimark_benchmark: 1773.3853, usercpu_time_millis: 935.714, usercpu_time_millis_testing: 9.453, usercpu_time_millis_training: 926.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29576.1672, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3577, scimark_benchmark: 1752.6193, usercpu_time_millis: 622.782, usercpu_time_millis_testing: 3.908, usercpu_time_millis_training: 618.874,

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