OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28115.0464, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1237.3079, usercpu_time_millis: 5920.565, usercpu_time_millis_testing: 99.879, usercpu_time_millis_training: 5820.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.956, kappa: 0.8918, kb_relative_information_score: 27430.0563, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.413, scimark_benchmark: 1270.6519, usercpu_time_millis: 1875.109, usercpu_time_millis_testing: 97.448, usercpu_time_millis_training: 1777.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9506, kappa: 0.8784, kb_relative_information_score: 26470.1197, mean_absolute_error: 0.1019, 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: 0.2496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4394, scimark_benchmark: 1263.6061, usercpu_time_millis: 1576.005, usercpu_time_millis_testing: 45.646, usercpu_time_millis_training: 1530.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9404, kappa: 0.8524, kb_relative_information_score: 25217.5936, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4738, scimark_benchmark: 1241.7504, usercpu_time_millis: 803.851, usercpu_time_millis_testing: 37.94, usercpu_time_millis_training: 765.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9228, kappa: 0.8069, kb_relative_information_score: 21695.9133, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5431, scimark_benchmark: 1237.8956, usercpu_time_millis: 255.117, usercpu_time_millis_testing: 15.397, usercpu_time_millis_training: 239.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9534, kappa: 0.8853, kb_relative_information_score: 27104.123, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9533, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1275.2548, usercpu_time_millis: 1468.077, usercpu_time_millis_testing: 75.829, usercpu_time_millis_training: 1392.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9576, kappa: 0.8959, kb_relative_information_score: 28070.6147, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4035, scimark_benchmark: 1244.4026, usercpu_time_millis: 3398.79, usercpu_time_millis_testing: 55.291, usercpu_time_millis_training: 3343.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9582, kappa: 0.8973, kb_relative_information_score: 28317.5953, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3977, scimark_benchmark: 1250.2673, usercpu_time_millis: 4337.25, usercpu_time_millis_testing: 73.025, usercpu_time_millis_training: 4264.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9337, kappa: 0.8354, kb_relative_information_score: 25272.8486, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4907, scimark_benchmark: 1254.0092, usercpu_time_millis: 366.235, usercpu_time_millis_testing: 7.753, usercpu_time_millis_training: 358.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 28401.0121, mean_absolute_error: 0.0767, 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: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3893, scimark_benchmark: 1254.0856, usercpu_time_millis: 1708.338, usercpu_time_millis_testing: 57.771, usercpu_time_millis_training: 1650.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9554, kappa: 0.8904, kb_relative_information_score: 27259.887, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4178, scimark_benchmark: 1263.5823, usercpu_time_millis: 2992.466, usercpu_time_millis_testing: 58.934, usercpu_time_millis_training: 2933.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9638, kappa: 0.9112, kb_relative_information_score: 28835.2624, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3769, scimark_benchmark: 1253.6401, usercpu_time_millis: 2325.703, usercpu_time_millis_testing: 54.236, usercpu_time_millis_training: 2271.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9678, kappa: 0.921, kb_relative_information_score: 29696.1723, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3481, scimark_benchmark: 1247.307, usercpu_time_millis: 671.71, usercpu_time_millis_testing: 14.45, usercpu_time_millis_training: 657.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9542, kappa: 0.8873, kb_relative_information_score: 27233.8937, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4234, scimark_benchmark: 1233.3832, usercpu_time_millis: 3719.783, usercpu_time_millis_testing: 93.78, usercpu_time_millis_training: 3626.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8648, kappa: 0.6542, kb_relative_information_score: 15267.9032, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8874, predictive_accuracy: 0.8755, prior_entropy: 0.863, recall: 0.8755, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6721, scimark_benchmark: 1265.4092, usercpu_time_millis: 572.544, usercpu_time_millis_testing: 44.682, usercpu_time_millis_training: 527.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8481, kappa: 0.6104, kb_relative_information_score: 14510.7604, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8767, predictive_accuracy: 0.862, prior_entropy: 0.863, recall: 0.862, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6893, scimark_benchmark: 1246.8605, usercpu_time_millis: 311.131, usercpu_time_millis_testing: 28.725, usercpu_time_millis_training: 282.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 28539.1971, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3892, scimark_benchmark: 1264.4802, usercpu_time_millis: 186.626, usercpu_time_millis_testing: 7.776, usercpu_time_millis_training: 178.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.958, kappa: 0.8969, kb_relative_information_score: 28276.1684, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3988, scimark_benchmark: 1258.7286, usercpu_time_millis: 4633.268, usercpu_time_millis_testing: 89.604, usercpu_time_millis_training: 4543.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.948, kappa: 0.8717, kb_relative_information_score: 26045.1168, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4489, scimark_benchmark: 1279.996, usercpu_time_millis: 2720.131, usercpu_time_millis_testing: 101.274, usercpu_time_millis_training: 2618.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9534, kappa: 0.8852, kb_relative_information_score: 26752.8058, mean_absolute_error: 0.0987, 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: 0.2419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286, scimark_benchmark: 1277.6061, usercpu_time_millis: 3071.636, usercpu_time_millis_testing: 93.222, usercpu_time_millis_training: 2978.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.958, kappa: 0.8967, kb_relative_information_score: 27729.5347, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9581, prior_entropy: 0.863, recall: 0.9581, relative_absolute_error: 0.2098, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4058, scimark_benchmark: 1272.7677, usercpu_time_millis: 141.178, usercpu_time_millis_testing: 6.343, usercpu_time_millis_training: 134.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9572, kappa: 0.8946, kb_relative_information_score: 27117.1903, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.411, scimark_benchmark: 1268.8108, usercpu_time_millis: 576.907, usercpu_time_millis_testing: 28.504, usercpu_time_millis_training: 548.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.933, kappa: 0.8334, kb_relative_information_score: 23789.8933, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9341, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.504, scimark_benchmark: 1262.119, usercpu_time_millis: 362.233, usercpu_time_millis_testing: 15.388, usercpu_time_millis_training: 346.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9233, kappa: 0.8077, kb_relative_information_score: 24484.8585, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1264.8442, usercpu_time_millis: 1194.912, usercpu_time_millis_testing: 13.107, usercpu_time_millis_training: 1181.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29722.8736, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1268.3567, usercpu_time_millis: 320.285, usercpu_time_millis_testing: 8.216, usercpu_time_millis_training: 312.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9331, kappa: 0.8337, kb_relative_information_score: 21402.2142, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9342, prior_entropy: 0.863, recall: 0.9342, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.542, scimark_benchmark: 1268.1553, usercpu_time_millis: 1035.154, usercpu_time_millis_testing: 59.948, usercpu_time_millis_training: 975.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9336, kappa: 0.835, kb_relative_information_score: 24814.5386, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9346, prior_entropy: 0.863, recall: 0.9346, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4926, scimark_benchmark: 1245.7057, usercpu_time_millis: 804.769, usercpu_time_millis_testing: 22.466, usercpu_time_millis_training: 782.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9621, kappa: 0.9067, kb_relative_information_score: 27558.3175, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3913, scimark_benchmark: 1278.5041, usercpu_time_millis: 1515.664, usercpu_time_millis_testing: 85.555, usercpu_time_millis_training: 1430.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9373, kappa: 0.8446, kb_relative_information_score: 24890.2694, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4865, scimark_benchmark: 1281.6597, usercpu_time_millis: 1987.071, usercpu_time_millis_testing: 45.662, usercpu_time_millis_training: 1941.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9609, kappa: 0.9038, kb_relative_information_score: 28036.0578, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3899, scimark_benchmark: 1233.4802, usercpu_time_millis: 1219.201, usercpu_time_millis_testing: 38.151, usercpu_time_millis_training: 1181.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9571, kappa: 0.8946, kb_relative_information_score: 27925.3482, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4059, scimark_benchmark: 1243.5802, usercpu_time_millis: 1190.635, usercpu_time_millis_testing: 23.862, usercpu_time_millis_training: 1166.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9482, kappa: 0.8723, kb_relative_information_score: 26017.8675, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9486, prior_entropy: 0.863, recall: 0.9486, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4496, scimark_benchmark: 1268.179, usercpu_time_millis: 1308.792, usercpu_time_millis_testing: 45.677, usercpu_time_millis_training: 1263.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9632, kappa: 0.9098, kb_relative_information_score: 29095.1371, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.168, root_relative_squared_error: 0.372, scimark_benchmark: 1259.4674, usercpu_time_millis: 223.037, usercpu_time_millis_testing: 4.207, usercpu_time_millis_training: 218.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29187.3993, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674, scimark_benchmark: 1240.0205, usercpu_time_millis: 8752.658, usercpu_time_millis_testing: 94.392, usercpu_time_millis_training: 8658.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29394.169, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3625, scimark_benchmark: 1251.6366, usercpu_time_millis: 6430.32, usercpu_time_millis_testing: 62.865, usercpu_time_millis_training: 6367.455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9541, kappa: 0.8867, kb_relative_information_score: 26130.9988, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9543, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4339, scimark_benchmark: 1259.9961, usercpu_time_millis: 2264.274, usercpu_time_millis_testing: 86.8, usercpu_time_millis_training: 2177.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.954, kappa: 0.8864, kb_relative_information_score: 26057.3798, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351, scimark_benchmark: 1253.7709, usercpu_time_millis: 3205.314, usercpu_time_millis_testing: 126.096, usercpu_time_millis_training: 3079.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8902, kappa: 0.7212, kb_relative_information_score: 15211.019, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9019, predictive_accuracy: 0.8962, prior_entropy: 0.863, recall: 0.8962, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6725, scimark_benchmark: 1267.9836, usercpu_time_millis: 282.521, usercpu_time_millis_testing: 18.989, usercpu_time_millis_training: 263.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9454, kappa: 0.8651, kb_relative_information_score: 25818.4951, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4579, scimark_benchmark: 1277.3307, usercpu_time_millis: 139.915, usercpu_time_millis_testing: 5.895, usercpu_time_millis_training: 134.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9549, kappa: 0.8893, kb_relative_information_score: 27399.0248, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4207, scimark_benchmark: 1238.833, usercpu_time_millis: 6920.158, usercpu_time_millis_testing: 99.747, usercpu_time_millis_training: 6820.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.962, kappa: 0.9065, kb_relative_information_score: 28433.9805, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3814, scimark_benchmark: 1271.4795, usercpu_time_millis: 744.392, usercpu_time_millis_testing: 21.996, usercpu_time_millis_training: 722.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8688, kappa: 0.6645, kb_relative_information_score: 15440.2578, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8904, predictive_accuracy: 0.8788, prior_entropy: 0.863, recall: 0.8788, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.668, scimark_benchmark: 1272.8354, usercpu_time_millis: 741.273, usercpu_time_millis_testing: 60.001, usercpu_time_millis_training: 681.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9235, kappa: 0.8085, kb_relative_information_score: 24180.4858, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.9256, prior_entropy: 0.863, recall: 0.9256, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5085, scimark_benchmark: 1249.7074, usercpu_time_millis: 739.834, usercpu_time_millis_testing: 28.136, usercpu_time_millis_training: 711.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9508, kappa: 0.878, kb_relative_information_score: 23311.35, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4856, scimark_benchmark: 1268.9883, usercpu_time_millis: 671.335, usercpu_time_millis_testing: 41.349, usercpu_time_millis_training: 629.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9508, kappa: 0.8789, kb_relative_information_score: 26631.3248, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4377, scimark_benchmark: 1278.4769, usercpu_time_millis: 1617.652, usercpu_time_millis_testing: 75.107, usercpu_time_millis_training: 1542.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9545, kappa: 0.8883, kb_relative_information_score: 27516.213, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4218, scimark_benchmark: 1252.8177, usercpu_time_millis: 1349.213, usercpu_time_millis_testing: 20.362, usercpu_time_millis_training: 1328.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8484, kappa: 0.611, kb_relative_information_score: 14531.9065, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8771, predictive_accuracy: 0.8622, prior_entropy: 0.863, recall: 0.8622, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6887, scimark_benchmark: 1271.8925, usercpu_time_millis: 350.682, usercpu_time_millis_testing: 32.564, usercpu_time_millis_training: 318.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29544.9601, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3545, scimark_benchmark: 1263.0887, usercpu_time_millis: 2575.624, usercpu_time_millis_testing: 31.632, usercpu_time_millis_training: 2543.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 28274.0448, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3829, scimark_benchmark: 1273.1561, usercpu_time_millis: 3190.206, usercpu_time_millis_testing: 88.81, usercpu_time_millis_training: 3101.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9342, kappa: 0.8362, kb_relative_information_score: 19348.3673, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9354, prior_entropy: 0.863, recall: 0.9354, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5822, scimark_benchmark: 1270.1299, usercpu_time_millis: 387.292, usercpu_time_millis_testing: 25.146, usercpu_time_millis_training: 362.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29637.9942, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.352, scimark_benchmark: 1254.1007, usercpu_time_millis: 1886.788, usercpu_time_millis_testing: 22.163, usercpu_time_millis_training: 1864.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29796.0225, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3433, scimark_benchmark: 1274.2249, usercpu_time_millis: 498.571, usercpu_time_millis_testing: 12.234, usercpu_time_millis_training: 486.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29793.682, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465, scimark_benchmark: 1238.892, usercpu_time_millis: 6780.768, usercpu_time_millis_testing: 64.533, usercpu_time_millis_training: 6716.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8805, kappa: 0.7087, kb_relative_information_score: 18655.9224, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8813, predictive_accuracy: 0.8799, prior_entropy: 0.863, recall: 0.8799, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.6342, scimark_benchmark: 1247.8947, usercpu_time_millis: 52.228, usercpu_time_millis_testing: 3.734, usercpu_time_millis_training: 48.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.955, kappa: 0.8894, kb_relative_information_score: 27378.7519, mean_absolute_error: 0.0891, 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: 0.2183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208, scimark_benchmark: 1266.3978, usercpu_time_millis: 2713.286, usercpu_time_millis_testing: 46.382, usercpu_time_millis_training: 2666.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9528, kappa: 0.884, kb_relative_information_score: 27085.7448, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4289, scimark_benchmark: 1258.7769, usercpu_time_millis: 1345.582, usercpu_time_millis_testing: 32.857, usercpu_time_millis_training: 1312.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9533, kappa: 0.8847, kb_relative_information_score: 25636.5539, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4434, scimark_benchmark: 1276.9628, usercpu_time_millis: 178.559, usercpu_time_millis_testing: 11.021, usercpu_time_millis_training: 167.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9608, kappa: 0.9036, kb_relative_information_score: 27924.6601, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3912, scimark_benchmark: 1269.151, usercpu_time_millis: 989.16, usercpu_time_millis_testing: 37.839, usercpu_time_millis_training: 951.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9559, kappa: 0.8916, kb_relative_information_score: 27440.8523, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4148, scimark_benchmark: 1259.0874, usercpu_time_millis: 5577.659, usercpu_time_millis_testing: 105.907, usercpu_time_millis_training: 5471.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9578, kappa: 0.8962, kb_relative_information_score: 27628.8915, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.406, scimark_benchmark: 1256.5432, usercpu_time_millis: 4233.23, usercpu_time_millis_testing: 115.443, usercpu_time_millis_training: 4117.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9244, kappa: 0.811, kb_relative_information_score: 24229.1133, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.927, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5068, scimark_benchmark: 1243.3471, usercpu_time_millis: 2044.012, usercpu_time_millis_testing: 56.529, usercpu_time_millis_training: 1987.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9167, kappa: 0.7908, kb_relative_information_score: 21666.8449, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9211, predictive_accuracy: 0.9195, prior_entropy: 0.863, recall: 0.9195, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5508, scimark_benchmark: 1260.3903, usercpu_time_millis: 982.154, usercpu_time_millis_testing: 32.279, usercpu_time_millis_training: 949.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9609, kappa: 0.9041, kb_relative_information_score: 28505.2418, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3858, scimark_benchmark: 1261.6795, usercpu_time_millis: 3169.961, usercpu_time_millis_testing: 45.38, usercpu_time_millis_training: 3124.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9375, kappa: 0.8455, kb_relative_information_score: 25694.3668, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9377, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4767, scimark_benchmark: 1235.2874, usercpu_time_millis: 8043.376, usercpu_time_millis_testing: 82.546, usercpu_time_millis_training: 7960.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9585, kappa: 0.8982, kb_relative_information_score: 27961.1412, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9587, prior_entropy: 0.863, recall: 0.9587, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.401, scimark_benchmark: 1257.2545, usercpu_time_millis: 814.405, usercpu_time_millis_testing: 16.701, usercpu_time_millis_training: 797.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.952, kappa: 0.8821, kb_relative_information_score: 27039.4297, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4316, scimark_benchmark: 1269.8484, usercpu_time_millis: 4527.192, usercpu_time_millis_testing: 69.718, usercpu_time_millis_training: 4457.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.953, kappa: 0.8841, kb_relative_information_score: 26639.7243, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317, scimark_benchmark: 1259.5217, usercpu_time_millis: 1842.353, usercpu_time_millis_testing: 64.494, usercpu_time_millis_training: 1777.859,

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