OpenML
Supervised Classification on scene

Supervised Classification on scene

Task 3485 Supervised Classification scene 87577 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9581, kappa: 0.8517, kb_relative_information_score: 1634.4326, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9618, predictive_accuracy: 0.9601, prior_entropy: 0.6786, recall: 0.9601, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4968, scimark_benchmark: 1835.1337, usercpu_time_millis: 722.937, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 722.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.96, kappa: 0.8584, kb_relative_information_score: 1688.6927, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9633, predictive_accuracy: 0.9618, prior_entropy: 0.6786, recall: 0.9618, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4807, scimark_benchmark: 1719.1889, usercpu_time_millis: 708.656, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 707.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8955, kappa: 0.6129, kb_relative_information_score: 918.1716, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9153, predictive_accuracy: 0.9082, prior_entropy: 0.6786, recall: 0.9082, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.7018, scimark_benchmark: 1725.2538, usercpu_time_millis: 235.399, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 234.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.7402, kb_relative_information_score: 244.31, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.8713, scimark_benchmark: 1681.2847, usercpu_time_millis: 229.179, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 227.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9416, kappa: 0.7903, kb_relative_information_score: 1408.3401, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9487, predictive_accuracy: 0.9456, prior_entropy: 0.6786, recall: 0.9456, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.5727, scimark_benchmark: 1710.7007, usercpu_time_millis: 733.499, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 731.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9586, kappa: 0.8531, kb_relative_information_score: 1605.0594, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9623, predictive_accuracy: 0.9605, prior_entropy: 0.6786, recall: 0.9605, relative_absolute_error: 0.386, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.5038, scimark_benchmark: 1721.4643, usercpu_time_millis: 619.282, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 618.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9581, kappa: 0.8514, kb_relative_information_score: 1528.3736, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.962, predictive_accuracy: 0.9601, prior_entropy: 0.6786, recall: 0.9601, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.5229, scimark_benchmark: 1724.0123, usercpu_time_millis: 570.116, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 569.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9474, kappa: 0.8119, kb_relative_information_score: 1410.1383, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9531, predictive_accuracy: 0.9506, prior_entropy: 0.6786, recall: 0.9506, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.563, scimark_benchmark: 1723.5031, usercpu_time_millis: 99.939, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 99.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.873, kappa: 0.5256, kb_relative_information_score: 727.5114, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8973, predictive_accuracy: 0.8912, prior_entropy: 0.6786, recall: 0.8912, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.7435, scimark_benchmark: 1728.4495, usercpu_time_millis: 49.086, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 47.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.845, kappa: 0.413, kb_relative_information_score: 654.227, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.884, predictive_accuracy: 0.8733, prior_entropy: 0.6786, recall: 0.8733, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7705, scimark_benchmark: 1725.8551, usercpu_time_millis: 32.847, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 31.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8696, kappa: 0.5115, kb_relative_information_score: 702.2554, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8966, predictive_accuracy: 0.8891, prior_entropy: 0.6786, recall: 0.8891, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.7476, scimark_benchmark: 1738.2172, usercpu_time_millis: 37.961, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 36.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8414, kappa: 0.3985, kb_relative_information_score: 589.5591, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8809, predictive_accuracy: 0.8708, prior_entropy: 0.6786, recall: 0.8708, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.7806, scimark_benchmark: 1725.723, usercpu_time_millis: 36.425, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 34.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8518, kappa: 0.4407, kb_relative_information_score: 616.139, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8849, predictive_accuracy: 0.877, prior_entropy: 0.6786, recall: 0.877, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.7718, scimark_benchmark: 1839.8652, usercpu_time_millis: 22.097, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 21.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.7402, kb_relative_information_score: 336.4588, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.863, scimark_benchmark: 1709.2866, usercpu_time_millis: 20.418, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 18.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.7632, kappa: 0.0883, kb_relative_information_score: 434.4392, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8598, predictive_accuracy: 0.8309, prior_entropy: 0.6786, recall: 0.8309, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8305, scimark_benchmark: 1733.7613, usercpu_time_millis: 14.803, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 13.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.7581, kappa: 0.0686, kb_relative_information_score: 360.2063, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8412, predictive_accuracy: 0.828, prior_entropy: 0.6786, recall: 0.828, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.8437, scimark_benchmark: 1735.4825, usercpu_time_millis: 17.457, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 16.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7402, kb_relative_information_score: 69.2644, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.935, scimark_benchmark: 1725.8551, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7998, kappa: 0.232, kb_relative_information_score: 517.6941, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8649, predictive_accuracy: 0.8479, prior_entropy: 0.6786, recall: 0.8479, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.8073, scimark_benchmark: 1733.6511, usercpu_time_millis: 16.551, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 15.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.7402, kb_relative_information_score: 206.3261, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.344, root_relative_squared_error: 0.8972, scimark_benchmark: 1726.6452, usercpu_time_millis: 5.54, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 4.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.7734, kappa: 0.1282, kb_relative_information_score: 458.4911, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8537, predictive_accuracy: 0.8351, prior_entropy: 0.6786, recall: 0.8351, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8242, scimark_benchmark: 1712.7277, usercpu_time_millis: 23.316, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 22.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9049, kappa: 0.6502, kb_relative_information_score: 963.9543, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9209, predictive_accuracy: 0.9152, prior_entropy: 0.6786, recall: 0.9152, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6904, scimark_benchmark: 1701.6701, usercpu_time_millis: 538.091, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 536.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7402, kb_relative_information_score: -4.4419, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1733.299, usercpu_time_millis: 2.402, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.946, kappa: 0.8065, kb_relative_information_score: 1465.7841, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.952, predictive_accuracy: 0.9493, prior_entropy: 0.6786, recall: 0.9493, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.5537, scimark_benchmark: 1840.8272, usercpu_time_millis: 290.938, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 290.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9363, kappa: 0.7701, kb_relative_information_score: 1232.0808, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9447, predictive_accuracy: 0.941, prior_entropy: 0.6786, recall: 0.941, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6102, scimark_benchmark: 1726.9824, usercpu_time_millis: 244.91, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 243.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8874, kappa: 0.5809, kb_relative_information_score: 868.486, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.911, predictive_accuracy: 0.9024, prior_entropy: 0.6786, recall: 0.9024, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.7161, scimark_benchmark: 1724.9502, usercpu_time_millis: 232.874, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 231.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.954, kappa: 0.8363, kb_relative_information_score: 1617.4087, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9584, predictive_accuracy: 0.9564, prior_entropy: 0.6786, recall: 0.9564, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.5077, scimark_benchmark: 1731.6389, usercpu_time_millis: 176.444, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 176.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9412, kappa: 0.7885, kb_relative_information_score: 1366.6943, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9483, predictive_accuracy: 0.9452, prior_entropy: 0.6786, recall: 0.9452, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.5777, scimark_benchmark: 1724.4096, usercpu_time_millis: 97.87, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 97.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9137, kappa: 0.6838, kb_relative_information_score: 989.7813, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9278, predictive_accuracy: 0.9223, prior_entropy: 0.6786, recall: 0.9223, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.6719, scimark_benchmark: 1721.7423, usercpu_time_millis: 161.734, usercpu_time_millis_testing: 1.862, usercpu_time_millis_training: 159.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.784, kappa: 0.1696, kb_relative_information_score: 460.5581, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.863, predictive_accuracy: 0.8405, prior_entropy: 0.6786, recall: 0.8405, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.315, root_relative_squared_error: 0.8217, scimark_benchmark: 1721.4034, usercpu_time_millis: 42.253, usercpu_time_millis_testing: 1.663, usercpu_time_millis_training: 40.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7402, kb_relative_information_score: 75.6623, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.9074, scimark_benchmark: 1705.8681, usercpu_time_millis: 44.436, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 44.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8665, kappa: 0.4983, kb_relative_information_score: 682.1623, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8971, predictive_accuracy: 0.8874, prior_entropy: 0.6786, recall: 0.8874, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.7549, scimark_benchmark: 1762.1712, usercpu_time_millis: 38.899, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 37.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9328, kappa: 0.757, kb_relative_information_score: 1239.4839, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9421, predictive_accuracy: 0.9381, prior_entropy: 0.6786, recall: 0.9381, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6091, scimark_benchmark: 1834.8102, usercpu_time_millis: 35.813, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 35.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8513, kappa: 0.4378, kb_relative_information_score: 669.3152, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8886, predictive_accuracy: 0.8774, prior_entropy: 0.6786, recall: 0.8774, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.7663, scimark_benchmark: 1730.591, usercpu_time_millis: 29.417, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 28.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8579, kappa: 0.4648, kb_relative_information_score: 641.3189, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8895, predictive_accuracy: 0.8812, prior_entropy: 0.6786, recall: 0.8812, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.7656, scimark_benchmark: 1778.7447, usercpu_time_millis: 24.336, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 23.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8307, kappa: 0.3554, kb_relative_information_score: 587.2844, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8788, predictive_accuracy: 0.865, prior_entropy: 0.6786, recall: 0.865, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.302, root_relative_squared_error: 0.7876, scimark_benchmark: 1719.131, usercpu_time_millis: 29.42, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 28.231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9114, kappa: 0.675, kb_relative_information_score: 1096.1461, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9268, predictive_accuracy: 0.9206, prior_entropy: 0.6786, recall: 0.9206, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.6619, scimark_benchmark: 1732.9618, usercpu_time_millis: 200.463, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 200.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9083, kappa: 0.6625, kb_relative_information_score: 1050.1488, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9247, predictive_accuracy: 0.9182, prior_entropy: 0.6786, recall: 0.9182, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.258, root_relative_squared_error: 0.6729, scimark_benchmark: 1714.7312, usercpu_time_millis: 163.657, usercpu_time_millis_testing: 1.395, usercpu_time_millis_training: 162.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8802, kappa: 0.5523, kb_relative_information_score: 840.4069, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9075, predictive_accuracy: 0.8974, prior_entropy: 0.6786, recall: 0.8974, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.7267, scimark_benchmark: 1786.7777, usercpu_time_millis: 107.84, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 107.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8841, kappa: 0.5682, kb_relative_information_score: 790.7465, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9083, predictive_accuracy: 0.8999, prior_entropy: 0.6786, recall: 0.8999, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.7281, scimark_benchmark: 1789.7865, usercpu_time_millis: 101.844, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 100.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8753, kappa: 0.5332, kb_relative_information_score: 712.7948, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9031, predictive_accuracy: 0.8936, prior_entropy: 0.6786, recall: 0.8936, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.75, scimark_benchmark: 1733.9326, usercpu_time_millis: 116.489, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 115.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9309, kappa: 0.7495, kb_relative_information_score: 1219.0847, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9407, predictive_accuracy: 0.9364, prior_entropy: 0.6786, recall: 0.9364, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.6197, scimark_benchmark: 1736.0337, usercpu_time_millis: 93.645, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 93.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9077, kappa: 0.6605, kb_relative_information_score: 1011.0255, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9243, predictive_accuracy: 0.9177, prior_entropy: 0.6786, recall: 0.9177, relative_absolute_error: 0.6086, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.6767, scimark_benchmark: 1789.2432, usercpu_time_millis: 75.527, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 74.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7402, kb_relative_information_score: 218.7617, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.338, root_relative_squared_error: 0.8817, scimark_benchmark: 1727.6743, usercpu_time_millis: 25.348, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 24.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.75, kappa: 0.0375, kb_relative_information_score: 425.3057, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8558, predictive_accuracy: 0.8251, prior_entropy: 0.6786, recall: 0.8251, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.8284, scimark_benchmark: 1733.299, usercpu_time_millis: 32.241, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 31.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7402, kb_relative_information_score: -21.9317, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9359, scimark_benchmark: 1722.6507, usercpu_time_millis: 18.899, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 18.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.7402, kb_relative_information_score: 0.9862, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3834, root_relative_squared_error: 1, scimark_benchmark: 1726.4422, usercpu_time_millis: 2.727, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 2.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9591, kappa: 0.8551, kb_relative_information_score: 1619.3207, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9626, predictive_accuracy: 0.9609, prior_entropy: 0.6786, recall: 0.9609, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.5009, scimark_benchmark: 1432.1875, usercpu_time_millis: 791.767, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 790.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.953, kappa: 0.8329, kb_relative_information_score: 1497.8504, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9576, predictive_accuracy: 0.9555, prior_entropy: 0.6786, recall: 0.9555, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.5345, scimark_benchmark: 1694.4879, usercpu_time_millis: 617.949, usercpu_time_millis_testing: 2.233, usercpu_time_millis_training: 615.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9641, kappa: 0.8734, kb_relative_information_score: 1701.293, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9668, predictive_accuracy: 0.9655, prior_entropy: 0.6786, recall: 0.9655, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4732, scimark_benchmark: 1711.6554, usercpu_time_millis: 576.975, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 576.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9474, kappa: 0.8119, kb_relative_information_score: 1434.4767, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9531, predictive_accuracy: 0.9506, prior_entropy: 0.6786, recall: 0.9506, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.5554, scimark_benchmark: 1843.1687, usercpu_time_millis: 510.619, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 509.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9426, kappa: 0.794, kb_relative_information_score: 1373.162, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9494, predictive_accuracy: 0.9464, prior_entropy: 0.6786, recall: 0.9464, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.5727, scimark_benchmark: 1852.9988, usercpu_time_millis: 417.478, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 416.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9425, kappa: 0.7935, kb_relative_information_score: 1309.3036, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9497, predictive_accuracy: 0.9464, prior_entropy: 0.6786, recall: 0.9464, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.227, root_relative_squared_error: 0.592, scimark_benchmark: 1850.2875, usercpu_time_millis: 339.792, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 339.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9319, kappa: 0.7533, kb_relative_information_score: 1252.8009, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9414, predictive_accuracy: 0.9373, prior_entropy: 0.6786, recall: 0.9373, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.6087, scimark_benchmark: 1730.591, usercpu_time_millis: 298.742, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 297.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9334, kappa: 0.7594, kb_relative_information_score: 1262.7263, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9422, predictive_accuracy: 0.9385, prior_entropy: 0.6786, recall: 0.9385, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.6059, scimark_benchmark: 1719.131, usercpu_time_millis: 280.395, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 279.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8666, kappa: 0.4983, kb_relative_information_score: 713.785, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8989, predictive_accuracy: 0.8878, prior_entropy: 0.6786, recall: 0.8878, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7529, scimark_benchmark: 1728.3663, usercpu_time_millis: 270.839, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 269.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8966, kappa: 0.6169, kb_relative_information_score: 944.6425, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9179, predictive_accuracy: 0.9094, prior_entropy: 0.6786, recall: 0.9094, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.7003, scimark_benchmark: 1729.6688, usercpu_time_millis: 214.882, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 214.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.7402, kb_relative_information_score: 338.3075, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.8465, scimark_benchmark: 1733.299, usercpu_time_millis: 173.931, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 173.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9387, kappa: 0.7794, kb_relative_information_score: 1313.455, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9465, predictive_accuracy: 0.9431, prior_entropy: 0.6786, recall: 0.9431, relative_absolute_error: 0.5003, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.5902, scimark_benchmark: 2140.7275, usercpu_time_millis: 177.554, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 177.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.9049, kappa: 0.6502, kb_relative_information_score: 958.8074, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9209, predictive_accuracy: 0.9152, prior_entropy: 0.6786, recall: 0.9152, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.6865, scimark_benchmark: 1845.7835, usercpu_time_millis: 155.057, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 153.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.7402, kb_relative_information_score: 178.7273, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8922, scimark_benchmark: 1730.591, usercpu_time_millis: 133.28, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 132.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.902, kappa: 0.6377, kb_relative_information_score: 980.0303, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9218, predictive_accuracy: 0.9136, prior_entropy: 0.6786, recall: 0.9136, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.6851, scimark_benchmark: 1950.1527, usercpu_time_millis: 121.074, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 120.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7402, kb_relative_information_score: 155.7076, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8968, scimark_benchmark: 1844.8764, usercpu_time_millis: 130.435, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 129.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8977, kappa: 0.6216, kb_relative_information_score: 880.776, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9167, predictive_accuracy: 0.9098, prior_entropy: 0.6786, recall: 0.9098, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.7019, scimark_benchmark: 1731.1994, usercpu_time_millis: 85.296, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 83.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7402, kb_relative_information_score: 374.6936, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8306, scimark_benchmark: 1070.8651, usercpu_time_millis: 81.231, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 80.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.7402, kb_relative_information_score: 236.9964, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.8779, scimark_benchmark: 1732.5611, usercpu_time_millis: 55.8, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 54.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9646, kappa: 0.8755, kb_relative_information_score: 1820.0165, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9669, predictive_accuracy: 0.9659, prior_entropy: 0.6786, recall: 0.9659, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.171, root_relative_squared_error: 0.446, scimark_benchmark: 1854.568, usercpu_time_millis: 80.366, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 80.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kb_relative_information_score: 28.0231, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9274, scimark_benchmark: 1723.0479, usercpu_time_millis: 63.694, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 62.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7402, kb_relative_information_score: -48.7371, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.6739, predictive_accuracy: 0.8209, prior_entropy: 0.6786, recall: 0.8209, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9388, scimark_benchmark: 1844.2676, usercpu_time_millis: 30.193, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 29.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7422, kappa: 0.0076, kb_relative_information_score: 260.1726, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8536, predictive_accuracy: 0.8218, prior_entropy: 0.6786, recall: 0.8218, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.8636, scimark_benchmark: 1724.4096, usercpu_time_millis: 26.207, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 25.541,

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