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: 0.9907, f_measure: 0.9574, kappa: 0.8954, kb_relative_information_score: 27790.7591, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4075, scimark_benchmark: 1278.6917, usercpu_time_millis: 1530.225, usercpu_time_millis_testing: 42.281, usercpu_time_millis_training: 1487.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9485, kappa: 0.8724, kb_relative_information_score: 24557.9957, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.9491, prior_entropy: 0.863, recall: 0.9491, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4689, scimark_benchmark: 1265.5036, usercpu_time_millis: 343.541, usercpu_time_millis_testing: 16.251, usercpu_time_millis_training: 327.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9571, kappa: 0.8944, kb_relative_information_score: 27626.9026, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4085, scimark_benchmark: 1269.7402, usercpu_time_millis: 3001.401, usercpu_time_millis_testing: 90.059, usercpu_time_millis_training: 2911.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9214, kappa: 0.8029, kb_relative_information_score: 23401.8547, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.925, predictive_accuracy: 0.9237, prior_entropy: 0.863, recall: 0.9237, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.5189, scimark_benchmark: 1248.1204, usercpu_time_millis: 636.404, usercpu_time_millis_testing: 29.987, usercpu_time_millis_training: 606.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29711.6824, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.342, scimark_benchmark: 1262.5983, usercpu_time_millis: 1255.753, usercpu_time_millis_testing: 37.031, usercpu_time_millis_training: 1218.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 28685.6338, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3761, scimark_benchmark: 1263.3275, usercpu_time_millis: 3072.2, usercpu_time_millis_testing: 80.767, usercpu_time_millis_training: 2991.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9381, kappa: 0.8463, kb_relative_information_score: 22276.2001, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.5231, scimark_benchmark: 1220.6224, usercpu_time_millis: 1041.734, usercpu_time_millis_testing: 49.924, usercpu_time_millis_training: 991.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9366, kappa: 0.8431, kb_relative_information_score: 25745.2265, mean_absolute_error: 0.1076, 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: 0.2636, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4785, scimark_benchmark: 1243.1681, usercpu_time_millis: 167.637, usercpu_time_millis_testing: 3.578, usercpu_time_millis_training: 164.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8696, kappa: 0.6821, kb_relative_information_score: 17560.6392, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.8689, prior_entropy: 0.863, recall: 0.8689, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.6655, scimark_benchmark: 1258.2545, usercpu_time_millis: 52.856, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 50.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9552, kappa: 0.89, kb_relative_information_score: 27293.8644, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4194, scimark_benchmark: 1262.9443, usercpu_time_millis: 2954.642, usercpu_time_millis_testing: 62.864, usercpu_time_millis_training: 2891.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9382, kappa: 0.8468, kb_relative_information_score: 24856.1008, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.939, prior_entropy: 0.863, recall: 0.939, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4812, scimark_benchmark: 1265.7399, usercpu_time_millis: 689.483, usercpu_time_millis_testing: 20.521, usercpu_time_millis_training: 668.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9622, kappa: 0.9072, kb_relative_information_score: 28865.9726, mean_absolute_error: 0.0701, 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: 0.1719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3805, scimark_benchmark: 1217.7931, usercpu_time_millis: 10099.095, usercpu_time_millis_testing: 110.543, usercpu_time_millis_training: 9988.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9599, kappa: 0.9016, kb_relative_information_score: 28324.2477, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3928, scimark_benchmark: 1250.9416, usercpu_time_millis: 2151.915, usercpu_time_millis_testing: 47.949, usercpu_time_millis_training: 2103.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9629, kappa: 0.9089, kb_relative_information_score: 28653.3925, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3791, scimark_benchmark: 1238.1417, usercpu_time_millis: 1825.191, usercpu_time_millis_testing: 67.515, usercpu_time_millis_training: 1757.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9477, kappa: 0.8708, kb_relative_information_score: 25922.8602, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4504, scimark_benchmark: 1268.6962, usercpu_time_millis: 900.725, usercpu_time_millis_testing: 45.479, usercpu_time_millis_training: 855.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8973, kb_relative_information_score: 28330.8458, mean_absolute_error: 0.0765, 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: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3982, scimark_benchmark: 1267.043, usercpu_time_millis: 566.63, usercpu_time_millis_testing: 7.855, usercpu_time_millis_training: 558.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9578, kappa: 0.8963, kb_relative_information_score: 27940.6647, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4021, scimark_benchmark: 1259.3701, usercpu_time_millis: 2614.832, usercpu_time_millis_testing: 77.466, usercpu_time_millis_training: 2537.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9642, kappa: 0.9121, kb_relative_information_score: 28967.2006, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.371, scimark_benchmark: 1266.1304, usercpu_time_millis: 2603.088, usercpu_time_millis_testing: 47.019, usercpu_time_millis_training: 2556.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9584, kappa: 0.898, kb_relative_information_score: 28334.6823, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397, scimark_benchmark: 1282.413, usercpu_time_millis: 5289.431, usercpu_time_millis_testing: 79.408, usercpu_time_millis_training: 5210.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9539, kappa: 0.8862, kb_relative_information_score: 25899.7485, mean_absolute_error: 0.1126, 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: 0.276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4363, scimark_benchmark: 1267.6219, usercpu_time_millis: 300.868, usercpu_time_millis_testing: 20.171, usercpu_time_millis_training: 280.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9386, kappa: 0.8478, kb_relative_information_score: 25136.0579, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4818, scimark_benchmark: 1251.6957, usercpu_time_millis: 291.281, usercpu_time_millis_testing: 11.548, usercpu_time_millis_training: 279.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 28894.7814, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3734, scimark_benchmark: 1266.1758, usercpu_time_millis: 454.252, usercpu_time_millis_testing: 9.475, usercpu_time_millis_training: 444.777,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.969, kappa: 0.9239, kb_relative_information_score: 29846.6602, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1555, root_relative_squared_error: 0.3443, scimark_benchmark: 1269.0965, usercpu_time_millis: 1154.806, usercpu_time_millis_testing: 14.359, usercpu_time_millis_training: 1140.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9348, kappa: 0.8381, kb_relative_information_score: 24572.4515, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4941, scimark_benchmark: 1247.4784, usercpu_time_millis: 1814.228, usercpu_time_millis_testing: 42.791, usercpu_time_millis_training: 1771.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9535, kappa: 0.8857, kb_relative_information_score: 27141.7944, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.426, scimark_benchmark: 1270.8902, usercpu_time_millis: 1176.947, usercpu_time_millis_testing: 30.659, usercpu_time_millis_training: 1146.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9692, kappa: 0.9243, kb_relative_information_score: 29937.2984, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3408, scimark_benchmark: 1241.1783, usercpu_time_millis: 3731.901, usercpu_time_millis_testing: 50.846, usercpu_time_millis_training: 3681.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.941, kappa: 0.8542, kb_relative_information_score: 25961.4353, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4643, scimark_benchmark: 1243.0823, usercpu_time_millis: 701.303, usercpu_time_millis_testing: 17.647, usercpu_time_millis_training: 683.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.957, kappa: 0.8941, kb_relative_information_score: 27361.776, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.2237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105, scimark_benchmark: 1287.627, usercpu_time_millis: 1856.763, usercpu_time_millis_testing: 92.659, usercpu_time_millis_training: 1764.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8662, kappa: 0.6578, kb_relative_information_score: 15313.786, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8884, predictive_accuracy: 0.8766, prior_entropy: 0.863, recall: 0.8766, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.671, scimark_benchmark: 1260.7016, usercpu_time_millis: 474.539, usercpu_time_millis_testing: 38.713, usercpu_time_millis_training: 435.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9244, kappa: 0.8107, kb_relative_information_score: 24532.7655, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9264, prior_entropy: 0.863, recall: 0.9264, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.5052, scimark_benchmark: 1234.6952, usercpu_time_millis: 957.206, usercpu_time_millis_testing: 20.523, usercpu_time_millis_training: 936.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9348, kappa: 0.8383, kb_relative_information_score: 24895.0498, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4901, scimark_benchmark: 1283.9127, usercpu_time_millis: 2690.625, usercpu_time_millis_testing: 54.046, usercpu_time_millis_training: 2636.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9241, kappa: 0.8102, kb_relative_information_score: 22746.7425, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9266, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5264, scimark_benchmark: 1257.0504, usercpu_time_millis: 460.294, usercpu_time_millis_testing: 13.227, usercpu_time_millis_training: 447.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9492, kappa: 0.8741, kb_relative_information_score: 23944.702, mean_absolute_error: 0.1402, 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: 0.3435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.477, scimark_benchmark: 1251.1236, usercpu_time_millis: 625.073, usercpu_time_millis_testing: 35.524, usercpu_time_millis_training: 589.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29106.236, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3682, scimark_benchmark: 1249.2283, usercpu_time_millis: 555.312, usercpu_time_millis_testing: 13.247, usercpu_time_millis_training: 542.065,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 28939.0754, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3769, scimark_benchmark: 1245.2091, usercpu_time_millis: 5740.725, usercpu_time_millis_testing: 75.217, usercpu_time_millis_training: 5665.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 28841.287, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759, scimark_benchmark: 1263.8568, usercpu_time_millis: 3331.863, usercpu_time_millis_testing: 60.63, usercpu_time_millis_training: 3271.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28658.1513, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3853, scimark_benchmark: 1244.0016, usercpu_time_millis: 5665.174, usercpu_time_millis_testing: 51.117, usercpu_time_millis_training: 5614.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9385, kappa: 0.8474, kb_relative_information_score: 23388.5373, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9392, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.502, scimark_benchmark: 1288.7052, usercpu_time_millis: 1015.812, usercpu_time_millis_testing: 49.242, usercpu_time_millis_training: 966.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29722.9474, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1568, root_relative_squared_error: 0.3471, scimark_benchmark: 1293.5084, usercpu_time_millis: 3086.345, usercpu_time_millis_testing: 51.737, usercpu_time_millis_training: 3034.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9466, kappa: 0.8678, kb_relative_information_score: 24459.6212, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4739, scimark_benchmark: 1253.2528, usercpu_time_millis: 1865.833, usercpu_time_millis_testing: 70.339, usercpu_time_millis_training: 1795.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9622, kappa: 0.907, kb_relative_information_score: 28128.1645, mean_absolute_error: 0.0821, 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: 0.2011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385, scimark_benchmark: 1252.8622, usercpu_time_millis: 1589.917, usercpu_time_millis_testing: 87.406, usercpu_time_millis_training: 1502.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9533, kappa: 0.8853, kb_relative_information_score: 27189.3395, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9532, predictive_accuracy: 0.9534, prior_entropy: 0.863, recall: 0.9534, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4265, scimark_benchmark: 1271.9698, usercpu_time_millis: 2686.955, usercpu_time_millis_testing: 49.385, usercpu_time_millis_training: 2637.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9557, kappa: 0.8906, kb_relative_information_score: 25665.7318, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4352, scimark_benchmark: 1259.7876, usercpu_time_millis: 1889.622, usercpu_time_millis_testing: 129.331, usercpu_time_millis_training: 1760.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28424.8046, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866, scimark_benchmark: 1231.0729, usercpu_time_millis: 1893.181, usercpu_time_millis_testing: 75.808, usercpu_time_millis_training: 1817.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9687, kappa: 0.923, kb_relative_information_score: 29378.0812, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.349, scimark_benchmark: 1230.7819, usercpu_time_millis: 473.169, usercpu_time_millis_testing: 15.151, usercpu_time_millis_training: 458.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9626, kappa: 0.9079, kb_relative_information_score: 28037.8421, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3829, scimark_benchmark: 1263.8698, usercpu_time_millis: 1019.826, usercpu_time_millis_testing: 54.478, usercpu_time_millis_training: 965.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9684, kappa: 0.9224, kb_relative_information_score: 29507.4832, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3483, scimark_benchmark: 1290.2106, usercpu_time_millis: 1716.717, usercpu_time_millis_testing: 52.825, usercpu_time_millis_training: 1663.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9344, kappa: 0.8372, kb_relative_information_score: 24992.9442, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4897, scimark_benchmark: 1247.2869, usercpu_time_millis: 254.902, usercpu_time_millis_testing: 8.69, usercpu_time_millis_training: 246.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9552, kappa: 0.8895, kb_relative_information_score: 26439.5645, mean_absolute_error: 0.1049, 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: 0.257, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261, scimark_benchmark: 1252.2566, usercpu_time_millis: 253.36, usercpu_time_millis_testing: 17.165, usercpu_time_millis_training: 236.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9527, kappa: 0.8833, kb_relative_information_score: 26240.3893, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4359, scimark_benchmark: 1258.1916, usercpu_time_millis: 1633.837, usercpu_time_millis_testing: 65.586, usercpu_time_millis_training: 1568.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9579, kappa: 0.8968, kb_relative_information_score: 28224.0454, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.4, scimark_benchmark: 1259.8379, usercpu_time_millis: 9636.481, usercpu_time_millis_testing: 93.457, usercpu_time_millis_training: 9543.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29183.6797, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3637, scimark_benchmark: 1253.3985, usercpu_time_millis: 118.772, usercpu_time_millis_testing: 6.17, usercpu_time_millis_training: 112.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9554, kappa: 0.8905, kb_relative_information_score: 27654.3152, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9553, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.188, root_relative_squared_error: 0.4161, scimark_benchmark: 1255.7511, usercpu_time_millis: 7966.566, usercpu_time_millis_testing: 93.416, usercpu_time_millis_training: 7873.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9641, kappa: 0.9117, kb_relative_information_score: 28923.879, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3708, scimark_benchmark: 1284.8975, usercpu_time_millis: 3099.322, usercpu_time_millis_testing: 52.03, usercpu_time_millis_training: 3047.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9568, kappa: 0.8936, kb_relative_information_score: 27614.7176, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1224.8302, usercpu_time_millis: 281.438, usercpu_time_millis_testing: 16.209, usercpu_time_millis_training: 265.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9579, kappa: 0.8964, kb_relative_information_score: 27342.4338, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4069, scimark_benchmark: 1257.6286, usercpu_time_millis: 3250.776, usercpu_time_millis_testing: 100.36, usercpu_time_millis_training: 3150.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9129, kappa: 0.783, kb_relative_information_score: 17702.4201, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9139, predictive_accuracy: 0.9147, prior_entropy: 0.863, recall: 0.9147, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.6214, scimark_benchmark: 1258.1176, usercpu_time_millis: 593.99, usercpu_time_millis_testing: 36.717, usercpu_time_millis_training: 557.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9474, kappa: 0.8707, kb_relative_information_score: 26852.1315, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.444, scimark_benchmark: 1292.7973, usercpu_time_millis: 3523.507, usercpu_time_millis_testing: 63.641, usercpu_time_millis_training: 3459.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9229, kappa: 0.8078, kb_relative_information_score: 19144.1472, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5907, scimark_benchmark: 1239.6589, usercpu_time_millis: 508.601, usercpu_time_millis_testing: 35.829, usercpu_time_millis_training: 472.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9386, kappa: 0.8476, kb_relative_information_score: 23651.7275, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5002, scimark_benchmark: 1259.3444, usercpu_time_millis: 391.265, usercpu_time_millis_testing: 20.565, usercpu_time_millis_training: 370.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9442, kappa: 0.862, kb_relative_information_score: 25005.5093, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.4684, scimark_benchmark: 1270.9921, usercpu_time_millis: 1383.238, usercpu_time_millis_testing: 46.664, usercpu_time_millis_training: 1336.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9348, kappa: 0.8384, kb_relative_information_score: 25082.1654, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4885, scimark_benchmark: 1272.2053, usercpu_time_millis: 2478.828, usercpu_time_millis_testing: 41.755, usercpu_time_millis_training: 2437.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9438, kappa: 0.8611, kb_relative_information_score: 25709.5785, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.462, scimark_benchmark: 1226.9213, usercpu_time_millis: 4510.246, usercpu_time_millis_testing: 96.871, usercpu_time_millis_training: 4413.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9604, kappa: 0.9023, kb_relative_information_score: 27297.4008, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1254.2132, usercpu_time_millis: 319.759, usercpu_time_millis_testing: 13.903, usercpu_time_millis_training: 305.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9392, kappa: 0.8491, kb_relative_information_score: 23884.2122, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.4952, scimark_benchmark: 1256.3308, usercpu_time_millis: 1474.711, usercpu_time_millis_testing: 62.674, usercpu_time_millis_training: 1412.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8632, kappa: 0.6498, kb_relative_information_score: 15206.9726, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8866, predictive_accuracy: 0.8742, prior_entropy: 0.863, recall: 0.8742, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6735, scimark_benchmark: 1269.5392, usercpu_time_millis: 908.972, usercpu_time_millis_testing: 68.318, usercpu_time_millis_training: 840.654,

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

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