OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31698 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: 0.5, f_measure: 0.5954, kb_relative_information_score: 6.5846, mean_absolute_error: 0.408, 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: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1729.7652, usercpu_time_millis: 21.78, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 20.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9175, kappa: 0.7925, kb_relative_information_score: 24104.5982, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5198, scimark_benchmark: 1735.1328, usercpu_time_millis: 520.306, usercpu_time_millis_testing: 4.049, usercpu_time_millis_training: 516.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9075, kappa: 0.7706, kb_relative_information_score: 20294.0927, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9077, predictive_accuracy: 0.9089, prior_entropy: 0.863, recall: 0.9089, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5849, scimark_benchmark: 1733.3606, usercpu_time_millis: 933.39, usercpu_time_millis_testing: 11.832, usercpu_time_millis_training: 921.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.951, kappa: 0.8798, kb_relative_information_score: 27679.2214, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1731.5618, usercpu_time_millis: 1919.717, usercpu_time_millis_testing: 6.423, usercpu_time_millis_training: 1913.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9267, kappa: 0.817, kb_relative_information_score: 24752.7684, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9289, predictive_accuracy: 0.9285, prior_entropy: 0.863, recall: 0.9285, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5022, scimark_benchmark: 1723.5031, usercpu_time_millis: 1106.009, usercpu_time_millis_testing: 12.667, usercpu_time_millis_training: 1093.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9343, kappa: 0.8368, kb_relative_information_score: 25339.7002, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9348, predictive_accuracy: 0.9352, prior_entropy: 0.863, recall: 0.9352, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4952, scimark_benchmark: 1729.3292, usercpu_time_millis: 1257.88, usercpu_time_millis_testing: 5.274, usercpu_time_millis_training: 1252.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.868, kappa: 0.6794, kb_relative_information_score: 17403.5309, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8696, predictive_accuracy: 0.867, prior_entropy: 0.863, recall: 0.867, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.685, scimark_benchmark: 1890.135, usercpu_time_millis: 891.013, usercpu_time_millis_testing: 7.975, usercpu_time_millis_training: 883.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8631, kappa: 0.6691, kb_relative_information_score: 17395.2795, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8659, predictive_accuracy: 0.8615, prior_entropy: 0.863, recall: 0.8615, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6899, scimark_benchmark: 1821.8602, usercpu_time_millis: 944.415, usercpu_time_millis_testing: 6.312, usercpu_time_millis_training: 938.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9157, kappa: 0.7879, kb_relative_information_score: 24325.2791, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9188, prior_entropy: 0.863, recall: 0.9188, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5236, scimark_benchmark: 1850.2875, usercpu_time_millis: 988.578, usercpu_time_millis_testing: 6.983, usercpu_time_millis_training: 981.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9364, kappa: 0.8422, kb_relative_information_score: 25521.3897, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4901, scimark_benchmark: 1832.0698, usercpu_time_millis: 1003.889, usercpu_time_millis_testing: 4.206, usercpu_time_millis_training: 999.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9364, kappa: 0.8426, kb_relative_information_score: 25881.6192, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.477, scimark_benchmark: 1815.5992, usercpu_time_millis: 1148.259, usercpu_time_millis_testing: 5.996, usercpu_time_millis_training: 1142.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9546, kappa: 0.8885, kb_relative_information_score: 27573.5609, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4191, scimark_benchmark: 1833.639, usercpu_time_millis: 708.845, usercpu_time_millis_testing: 9.245, usercpu_time_millis_training: 699.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9139, kappa: 0.7862, kb_relative_information_score: 22580.3506, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9142, predictive_accuracy: 0.9152, prior_entropy: 0.863, recall: 0.9152, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5427, scimark_benchmark: 1824.2764, usercpu_time_millis: 781.287, usercpu_time_millis_testing: 6.726, usercpu_time_millis_training: 774.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9355, kappa: 0.8401, kb_relative_information_score: 25300.0499, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4862, scimark_benchmark: 1735.5975, usercpu_time_millis: 755.181, usercpu_time_millis_testing: 8.895, usercpu_time_millis_training: 746.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9549, kappa: 0.8895, kb_relative_information_score: 28008.1757, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9549, prior_entropy: 0.863, recall: 0.9549, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4128, scimark_benchmark: 1731.5003, usercpu_time_millis: 775.306, usercpu_time_millis_testing: 4.195, usercpu_time_millis_training: 771.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8685, kappa: 0.6793, kb_relative_information_score: 17431.1209, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8693, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.674, scimark_benchmark: 1825.1897, usercpu_time_millis: 781.355, usercpu_time_millis_testing: 10.138, usercpu_time_millis_training: 771.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9438, kappa: 0.8615, kb_relative_information_score: 26983.6024, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4524, scimark_benchmark: 1828.118, usercpu_time_millis: 722.514, usercpu_time_millis_testing: 2.091, usercpu_time_millis_training: 720.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.903, kappa: 0.7603, kb_relative_information_score: 20509.8221, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9028, predictive_accuracy: 0.904, prior_entropy: 0.863, recall: 0.904, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6112, scimark_benchmark: 1803.2903, usercpu_time_millis: 880.322, usercpu_time_millis_testing: 2.944, usercpu_time_millis_training: 877.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9174, kappa: 0.7921, kb_relative_information_score: 24512.3019, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9224, predictive_accuracy: 0.9202, prior_entropy: 0.863, recall: 0.9202, relative_absolute_error: 0.2978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5187, scimark_benchmark: 1848.388, usercpu_time_millis: 881.93, usercpu_time_millis_testing: 9.088, usercpu_time_millis_training: 872.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9184, kappa: 0.7949, kb_relative_information_score: 24598.8821, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5166, scimark_benchmark: 1803.1047, usercpu_time_millis: 900.329, usercpu_time_millis_testing: 9.692, usercpu_time_millis_training: 890.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8608, kappa: 0.6648, kb_relative_information_score: 17297.011, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8647, predictive_accuracy: 0.8587, prior_entropy: 0.863, recall: 0.8587, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6915, scimark_benchmark: 1822.1411, usercpu_time_millis: 785.434, usercpu_time_millis_testing: 3.317, usercpu_time_millis_training: 782.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.938, kappa: 0.8468, kb_relative_information_score: 25625.7147, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4763, scimark_benchmark: 1725.0676, usercpu_time_millis: 1072.902, usercpu_time_millis_testing: 16.882, usercpu_time_millis_training: 1056.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9487, kappa: 0.8741, kb_relative_information_score: 27716.5439, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4349, scimark_benchmark: 1821.7903, usercpu_time_millis: 903.122, usercpu_time_millis_testing: 2.1, usercpu_time_millis_training: 901.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9321, kappa: 0.8312, kb_relative_information_score: 25195.9832, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4968, scimark_benchmark: 1840.1715, usercpu_time_millis: 960.516, usercpu_time_millis_testing: 7.108, usercpu_time_millis_training: 953.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9398, kappa: 0.8515, kb_relative_information_score: 26084.7164, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9399, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4665, scimark_benchmark: 1813.5839, usercpu_time_millis: 949.445, usercpu_time_millis_testing: 12.076, usercpu_time_millis_training: 937.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9242, kappa: 0.8103, kb_relative_information_score: 24818.7417, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5064, scimark_benchmark: 1856.5802, usercpu_time_millis: 999.181, usercpu_time_millis_testing: 7.189, usercpu_time_millis_training: 991.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9275, kappa: 0.8188, kb_relative_information_score: 24966.1122, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015, scimark_benchmark: 1853.9121, usercpu_time_millis: 1215.808, usercpu_time_millis_testing: 10.344, usercpu_time_millis_training: 1205.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8683, kappa: 0.6798, kb_relative_information_score: 17354.71, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8674, prior_entropy: 0.863, recall: 0.8674, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6849, scimark_benchmark: 1815.141, usercpu_time_millis: 1854.494, usercpu_time_millis_testing: 10.418, usercpu_time_millis_training: 1844.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8612, kappa: 0.6652, kb_relative_information_score: 17338.7268, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8646, predictive_accuracy: 0.8593, prior_entropy: 0.863, recall: 0.8593, relative_absolute_error: 0.5007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.695, scimark_benchmark: 1821.7903, usercpu_time_millis: 1859.462, usercpu_time_millis_testing: 8.282, usercpu_time_millis_training: 1851.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9348, kappa: 0.8383, kb_relative_information_score: 25908.214, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9352, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4797, scimark_benchmark: 1853.454, usercpu_time_millis: 1363.892, usercpu_time_millis_testing: 4.617, usercpu_time_millis_training: 1359.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9223, kappa: 0.8055, kb_relative_information_score: 24768.4862, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.513, scimark_benchmark: 1835.621, usercpu_time_millis: 1562.439, usercpu_time_millis_testing: 6.727, usercpu_time_millis_training: 1555.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8607, kappa: 0.6642, kb_relative_information_score: 17336.5307, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8642, predictive_accuracy: 0.8588, prior_entropy: 0.863, recall: 0.8588, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6954, scimark_benchmark: 1810.0953, usercpu_time_millis: 1520.154, usercpu_time_millis_testing: 6.689, usercpu_time_millis_training: 1513.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9343, kappa: 0.8372, kb_relative_information_score: 25949.0897, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4804, scimark_benchmark: 1846.6923, usercpu_time_millis: 1477.813, usercpu_time_millis_testing: 5.03, usercpu_time_millis_training: 1472.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.937, kappa: 0.8442, kb_relative_information_score: 25930.2435, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.863, recall: 0.9377, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4741, scimark_benchmark: 1821.7903, usercpu_time_millis: 1646.622, usercpu_time_millis_testing: 12.236, usercpu_time_millis_training: 1634.386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9604, kappa: 0.9025, kb_relative_information_score: 27610.2609, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3957, scimark_benchmark: 1801.0296, usercpu_time_millis: 170.17, usercpu_time_millis_testing: 8.075, usercpu_time_millis_training: 162.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8684, kappa: 0.6792, kb_relative_information_score: 17477.787, mean_absolute_error: 0.2062, 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: 0.5054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6785, scimark_benchmark: 1894.3919, usercpu_time_millis: 141.054, usercpu_time_millis_testing: 2.967, usercpu_time_millis_training: 138.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8594, kappa: 0.6542, kb_relative_information_score: 14793.1655, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.859, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.7228, scimark_benchmark: 1851.3986, usercpu_time_millis: 129.526, usercpu_time_millis_testing: 5.847, usercpu_time_millis_training: 123.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9609, kappa: 0.904, kb_relative_information_score: 28382.2595, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3863, scimark_benchmark: 1858.6076, usercpu_time_millis: 169.79, usercpu_time_millis_testing: 4.751, usercpu_time_millis_training: 165.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8596, kappa: 0.6549, kb_relative_information_score: 14798.8552, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.725, scimark_benchmark: 1855.5541, usercpu_time_millis: 168.741, usercpu_time_millis_testing: 7.158, usercpu_time_millis_training: 161.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9329, kappa: 0.8333, kb_relative_information_score: 24247.5056, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4985, scimark_benchmark: 1816.1501, usercpu_time_millis: 75.267, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 73.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9385, kappa: 0.8479, kb_relative_information_score: 25647.5233, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753, scimark_benchmark: 1836.735, usercpu_time_millis: 153.875, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 151.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9547, kappa: 0.8881, kb_relative_information_score: 26379.234, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4283, scimark_benchmark: 1836.0792, usercpu_time_millis: 184.84, usercpu_time_millis_testing: 8.251, usercpu_time_millis_training: 176.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.3557, 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: 1841.5689, usercpu_time_millis: 105.257, usercpu_time_millis_testing: 8.318, usercpu_time_millis_training: 96.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9582, kappa: 0.897, kb_relative_information_score: 27748.3222, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.403, scimark_benchmark: 1763.2264, usercpu_time_millis: 181.567, usercpu_time_millis_testing: 11.523, usercpu_time_millis_training: 170.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9202, kappa: 0.8, kb_relative_information_score: 20837.0747, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5613, scimark_benchmark: 1825.7178, usercpu_time_millis: 177.71, usercpu_time_millis_testing: 10.758, usercpu_time_millis_training: 166.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8691, kappa: 0.6806, kb_relative_information_score: 17440.5024, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8685, prior_entropy: 0.863, recall: 0.8685, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6734, scimark_benchmark: 1849.7595, usercpu_time_millis: 187.216, usercpu_time_millis_testing: 1.701, usercpu_time_millis_training: 185.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28846.9963, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3782, scimark_benchmark: 1846.1643, usercpu_time_millis: 219.869, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 217.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8577, kappa: 0.6527, kb_relative_information_score: 15522.2844, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8584, predictive_accuracy: 0.8571, prior_entropy: 0.863, recall: 0.8571, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7394, scimark_benchmark: 1822.3184, usercpu_time_millis: 147.683, usercpu_time_millis_testing: 3.126, usercpu_time_millis_training: 144.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28957.9692, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3794, scimark_benchmark: 1849.2614, usercpu_time_millis: 159.673, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 158.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9144, kappa: 0.7854, kb_relative_information_score: 23686.4309, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9173, predictive_accuracy: 0.9168, prior_entropy: 0.863, recall: 0.9168, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.53, scimark_benchmark: 1768.7335, usercpu_time_millis: 250.088, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 247.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9594, kappa: 0.9002, kb_relative_information_score: 28330.6921, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3943, scimark_benchmark: 1836.6622, usercpu_time_millis: 245.675, usercpu_time_millis_testing: 3.803, usercpu_time_millis_training: 241.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9494, kappa: 0.8752, kb_relative_information_score: 26424.8194, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9494, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4424, scimark_benchmark: 1825.7178, usercpu_time_millis: 292.356, usercpu_time_millis_testing: 7.402, usercpu_time_millis_training: 284.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9237, kappa: 0.8091, kb_relative_information_score: 24733.9576, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9258, prior_entropy: 0.863, recall: 0.9258, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5046, scimark_benchmark: 1822.8493, usercpu_time_millis: 264.362, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 262.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.931, kappa: 0.8282, kb_relative_information_score: 23171.1543, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9322, prior_entropy: 0.863, recall: 0.9322, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5141, scimark_benchmark: 1826.8494, usercpu_time_millis: 12.42, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 11.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.4142, 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: 1855.4813, usercpu_time_millis: 13.732, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 12.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.7185, 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: 1847.3482, usercpu_time_millis: 14.066, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 12.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9031, kappa: 0.759, kb_relative_information_score: 16461.1398, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9035, predictive_accuracy: 0.9048, prior_entropy: 0.863, recall: 0.9048, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6517, scimark_benchmark: 1855.0232, usercpu_time_millis: 23.707, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 22.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.0216, 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: 1854.4951, usercpu_time_millis: 44.516, usercpu_time_millis_testing: 7.43, usercpu_time_millis_training: 37.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9499, kappa: 0.8771, kb_relative_information_score: 27384.1942, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4335, scimark_benchmark: 1835.621, usercpu_time_millis: 55.791, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 54.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.9309, 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: 1846.2342, usercpu_time_millis: 28.08, usercpu_time_millis_testing: 4.592, usercpu_time_millis_training: 23.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.2336, 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: 1850.8185, usercpu_time_millis: 50.339, usercpu_time_millis_testing: 6.754, usercpu_time_millis_training: 43.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9325, kappa: 0.832, kb_relative_information_score: 24456.5033, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9336, prior_entropy: 0.863, recall: 0.9336, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.497, scimark_benchmark: 1802.0128, usercpu_time_millis: 85.828, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 83.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.2597, 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: 1854.4431, usercpu_time_millis: 44.561, usercpu_time_millis_testing: 4.692, usercpu_time_millis_training: 39.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9393, kappa: 0.8499, kb_relative_information_score: 25996.3035, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4669, scimark_benchmark: 1833.2493, usercpu_time_millis: 61.298, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 60.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8656, kappa: 0.6722, kb_relative_information_score: 17089.1543, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8664, predictive_accuracy: 0.865, prior_entropy: 0.863, recall: 0.865, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.69, scimark_benchmark: 1845.779, usercpu_time_millis: 57.763, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 56.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8627, kappa: 0.6615, kb_relative_information_score: 14241.3755, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8621, predictive_accuracy: 0.8635, prior_entropy: 0.863, recall: 0.8635, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7085, scimark_benchmark: 1834.1796, usercpu_time_millis: 112.074, usercpu_time_millis_testing: 6.97, usercpu_time_millis_training: 105.104,

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