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: 0.9881, f_measure: 0.9491, kappa: 0.8748, kb_relative_information_score: 26680.283, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4406, scimark_benchmark: 1307.6689, usercpu_time_millis: 3883.423, usercpu_time_millis_testing: 72.494, usercpu_time_millis_training: 3810.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 28155.0036, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4029, scimark_benchmark: 1312.4089, usercpu_time_millis: 7570.556, usercpu_time_millis_testing: 69.605, usercpu_time_millis_training: 7500.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8895, kappa: 0.7223, kb_relative_information_score: 13851.2168, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8927, predictive_accuracy: 0.8931, prior_entropy: 0.863, recall: 0.8931, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7019, scimark_benchmark: 1309.0966, usercpu_time_millis: 119.231, usercpu_time_millis_testing: 9.04, usercpu_time_millis_training: 110.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9173, kappa: 0.792, kb_relative_information_score: 24048.7189, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162, scimark_benchmark: 1304.8439, usercpu_time_millis: 2372.371, usercpu_time_millis_testing: 40.669, usercpu_time_millis_training: 2331.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9579, kappa: 0.8961, kb_relative_information_score: 26602.2632, mean_absolute_error: 0.1038, 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: 0.2543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.4172, scimark_benchmark: 1279.7582, usercpu_time_millis: 1684.321, usercpu_time_millis_testing: 111.409, usercpu_time_millis_training: 1572.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9399, kappa: 0.8512, kb_relative_information_score: 25449.6148, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4711, scimark_benchmark: 1271.6245, usercpu_time_millis: 735.167, usercpu_time_millis_testing: 23.568, usercpu_time_millis_training: 711.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29163.8382, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3674, scimark_benchmark: 1303.2069, usercpu_time_millis: 2704.084, usercpu_time_millis_testing: 45.251, usercpu_time_millis_training: 2658.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9596, kappa: 0.9008, kb_relative_information_score: 28364.7737, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3926, scimark_benchmark: 1311.818, usercpu_time_millis: 1127.79, usercpu_time_millis_testing: 33.257, usercpu_time_millis_training: 1094.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8971, kb_relative_information_score: 28278.0317, mean_absolute_error: 0.0773, 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: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3987, scimark_benchmark: 1300.15, usercpu_time_millis: 1483.945, usercpu_time_millis_testing: 21.78, usercpu_time_millis_training: 1462.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9378, kappa: 0.846, kb_relative_information_score: 25653.4844, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.938, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4762, scimark_benchmark: 1306.6688, usercpu_time_millis: 3282.561, usercpu_time_millis_testing: 72.223, usercpu_time_millis_training: 3210.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.962, kappa: 0.9064, kb_relative_information_score: 27513.6649, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3922, scimark_benchmark: 1281.8273, usercpu_time_millis: 1686.119, usercpu_time_millis_testing: 76.465, usercpu_time_millis_training: 1609.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9287, kappa: 0.8225, kb_relative_information_score: 22990.0294, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.5175, scimark_benchmark: 1283.6336, usercpu_time_millis: 2025.414, usercpu_time_millis_testing: 64.803, usercpu_time_millis_training: 1960.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.948, kappa: 0.8716, kb_relative_information_score: 26242.3274, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4469, scimark_benchmark: 1302.9475, usercpu_time_millis: 3358.309, usercpu_time_millis_testing: 72.245, usercpu_time_millis_training: 3286.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29313.1224, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1278.7082, usercpu_time_millis: 3463.698, usercpu_time_millis_testing: 57.388, usercpu_time_millis_training: 3406.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29375.1161, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3624, scimark_benchmark: 1292.0176, usercpu_time_millis: 5684, usercpu_time_millis_testing: 46.065, usercpu_time_millis_training: 5637.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.923, kappa: 0.8077, kb_relative_information_score: 17801.1914, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9248, prior_entropy: 0.863, recall: 0.9248, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6174, scimark_benchmark: 1304.1468, usercpu_time_millis: 486.837, usercpu_time_millis_testing: 32.721, usercpu_time_millis_training: 454.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9592, kappa: 0.8995, kb_relative_information_score: 27717.302, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3986, scimark_benchmark: 1256.9498, usercpu_time_millis: 4642.36, usercpu_time_millis_testing: 120.906, usercpu_time_millis_training: 4521.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9259, kappa: 0.8151, kb_relative_information_score: 21284.8177, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5487, scimark_benchmark: 1291.0307, usercpu_time_millis: 1468.208, usercpu_time_millis_testing: 58.366, usercpu_time_millis_training: 1409.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9602, kappa: 0.9021, kb_relative_information_score: 28114.1287, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3931, scimark_benchmark: 1253.4708, usercpu_time_millis: 3935.906, usercpu_time_millis_testing: 93.759, usercpu_time_millis_training: 3842.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29656.0255, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1304.6206, usercpu_time_millis: 3128.888, usercpu_time_millis_testing: 29.68, usercpu_time_millis_training: 3099.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.955, kappa: 0.8896, kb_relative_information_score: 27838.9812, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.4138, scimark_benchmark: 1305.3107, usercpu_time_millis: 1918.537, usercpu_time_millis_testing: 34.95, usercpu_time_millis_training: 1883.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9319, kappa: 0.8303, kb_relative_information_score: 19871.5273, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5721, scimark_benchmark: 1287.4038, usercpu_time_millis: 1191.501, usercpu_time_millis_testing: 62.71, usercpu_time_millis_training: 1128.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28153.513, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.3929, scimark_benchmark: 1283.1242, usercpu_time_millis: 2628.185, usercpu_time_millis_testing: 99.386, usercpu_time_millis_training: 2528.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28358.4531, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3901, scimark_benchmark: 1269.4694, usercpu_time_millis: 2183.661, usercpu_time_millis_testing: 34.63, usercpu_time_millis_training: 2149.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 29180.1576, mean_absolute_error: 0.0664, 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: 0.1627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3701, scimark_benchmark: 1281.0889, usercpu_time_millis: 168.823, usercpu_time_millis_testing: 7.152, usercpu_time_millis_training: 161.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9575, kappa: 0.8956, kb_relative_information_score: 27795.1756, mean_absolute_error: 0.0845, 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: 0.207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.4061, scimark_benchmark: 1262.5502, usercpu_time_millis: 2522.959, usercpu_time_millis_testing: 95.994, usercpu_time_millis_training: 2426.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8721, kappa: 0.6877, kb_relative_information_score: 17641.9465, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8726, predictive_accuracy: 0.8717, prior_entropy: 0.863, recall: 0.8717, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6565, scimark_benchmark: 1291.6637, usercpu_time_millis: 284.755, usercpu_time_millis_testing: 14.443, usercpu_time_millis_training: 270.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9411, kappa: 0.8542, kb_relative_information_score: 25190.2768, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.473, scimark_benchmark: 1259.8973, usercpu_time_millis: 4578.968, usercpu_time_millis_testing: 90.486, usercpu_time_millis_training: 4488.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9459, kappa: 0.866, kb_relative_information_score: 25091.255, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4634, scimark_benchmark: 1283.5722, usercpu_time_millis: 1505.136, usercpu_time_millis_testing: 51.268, usercpu_time_millis_training: 1453.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9693, kappa: 0.9248, kb_relative_information_score: 30059.3306, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371, scimark_benchmark: 1260.6932, usercpu_time_millis: 3816.466, usercpu_time_millis_testing: 50.697, usercpu_time_millis_training: 3765.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 28770.4833, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3742, scimark_benchmark: 1288.6064, usercpu_time_millis: 2594.203, usercpu_time_millis_testing: 72.49, usercpu_time_millis_training: 2521.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9409, kappa: 0.8537, kb_relative_information_score: 25515.0455, mean_absolute_error: 0.1135, 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: 0.2782, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4678, scimark_benchmark: 1280.1732, usercpu_time_millis: 3179.729, usercpu_time_millis_testing: 67.168, usercpu_time_millis_training: 3112.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9431, kappa: 0.8597, kb_relative_information_score: 26242.8861, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4597, scimark_benchmark: 1279.5677, usercpu_time_millis: 493.575, usercpu_time_millis_testing: 14.517, usercpu_time_millis_training: 479.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9255, kappa: 0.8136, kb_relative_information_score: 24549.0776, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.9273, prior_entropy: 0.863, recall: 0.9273, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5045, scimark_benchmark: 1289.2915, usercpu_time_millis: 712.549, usercpu_time_millis_testing: 9.563, usercpu_time_millis_training: 702.986,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9469, kappa: 0.8691, kb_relative_information_score: 26423.8958, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9468, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4482, scimark_benchmark: 1258.7235, usercpu_time_millis: 1783.439, usercpu_time_millis_testing: 59.392, usercpu_time_millis_training: 1724.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9541, kappa: 0.8863, kb_relative_information_score: 23865.2146, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4702, scimark_benchmark: 1260.8546, usercpu_time_millis: 1772.775, usercpu_time_millis_testing: 109.828, usercpu_time_millis_training: 1662.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9568, kappa: 0.8937, kb_relative_information_score: 27515.8159, mean_absolute_error: 0.0886, 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: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.4101, scimark_benchmark: 1317.2907, usercpu_time_millis: 2638.874, usercpu_time_millis_testing: 87.098, usercpu_time_millis_training: 2551.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9448, kappa: 0.863, kb_relative_information_score: 22896.3848, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.863, recall: 0.9457, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.5031, scimark_benchmark: 1317.5244, usercpu_time_millis: 369.656, usercpu_time_millis_testing: 24.879, usercpu_time_millis_training: 344.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9615, kappa: 0.9052, kb_relative_information_score: 27468.9009, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3942, scimark_benchmark: 1263.3174, usercpu_time_millis: 1525.357, usercpu_time_millis_testing: 74.72, usercpu_time_millis_training: 1450.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.941, kappa: 0.8538, kb_relative_information_score: 23293.6836, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5018, scimark_benchmark: 1263.6136, usercpu_time_millis: 497.846, usercpu_time_millis_testing: 22.545, usercpu_time_millis_training: 475.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9431, kappa: 0.8589, kb_relative_information_score: 23317.043, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9438, prior_entropy: 0.863, recall: 0.9438, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4995, scimark_benchmark: 1252.4405, usercpu_time_millis: 1925.479, usercpu_time_millis_testing: 76.757, usercpu_time_millis_training: 1848.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9498, kappa: 0.8753, kb_relative_information_score: 23129.0555, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4896, scimark_benchmark: 1266.3575, usercpu_time_millis: 241.108, usercpu_time_millis_testing: 15.557, usercpu_time_millis_training: 225.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.953, kappa: 0.8846, kb_relative_information_score: 27121.959, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4278, scimark_benchmark: 1254.8529, usercpu_time_millis: 2554.913, usercpu_time_millis_testing: 42.119, usercpu_time_millis_training: 2512.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9332, kappa: 0.8339, kb_relative_information_score: 22600.3485, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5199, scimark_benchmark: 1309.3191, usercpu_time_millis: 1326.61, usercpu_time_millis_testing: 58.641, usercpu_time_millis_training: 1267.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29531.294, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.3463, scimark_benchmark: 1223.1455, usercpu_time_millis: 858.513, usercpu_time_millis_testing: 25.264, usercpu_time_millis_training: 833.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9419, kappa: 0.8558, kb_relative_information_score: 23135.3608, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.5039, scimark_benchmark: 1296.4646, usercpu_time_millis: 69.058, usercpu_time_millis_testing: 4.836, usercpu_time_millis_training: 64.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9674, kappa: 0.9199, kb_relative_information_score: 29344.2778, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.3545, scimark_benchmark: 1212.7925, usercpu_time_millis: 945.687, usercpu_time_millis_testing: 28.867, usercpu_time_millis_training: 916.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9287, kappa: 0.822, kb_relative_information_score: 18513.6036, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6006, scimark_benchmark: 1267.2424, usercpu_time_millis: 411.071, usercpu_time_millis_testing: 27.204, usercpu_time_millis_training: 383.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9493, kappa: 0.8756, kb_relative_information_score: 26990.182, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1296.579, usercpu_time_millis: 3781.544, usercpu_time_millis_testing: 62.502, usercpu_time_millis_training: 3719.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9585, kappa: 0.8982, kb_relative_information_score: 28319.5266, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.18, root_relative_squared_error: 0.3986, scimark_benchmark: 1321.6784, usercpu_time_millis: 924.273, usercpu_time_millis_testing: 9.399, usercpu_time_millis_training: 914.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9237, kappa: 0.8096, kb_relative_information_score: 20665.5271, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5615, scimark_benchmark: 1269.4237, usercpu_time_millis: 107.911, usercpu_time_millis_testing: 6.959, usercpu_time_millis_training: 100.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9638, kappa: 0.9109, kb_relative_information_score: 28426.0925, mean_absolute_error: 0.0782, 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: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1263.9461, usercpu_time_millis: 143.869, usercpu_time_millis_testing: 7.445, usercpu_time_millis_training: 136.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9621, kappa: 0.9064, kb_relative_information_score: 26924.5559, mean_absolute_error: 0.1009, 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: 0.2473, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1254.0301, usercpu_time_millis: 1334.04, usercpu_time_millis_testing: 74.974, usercpu_time_millis_training: 1259.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9523, kappa: 0.8823, kb_relative_information_score: 25520.4034, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4456, scimark_benchmark: 1220.6388, usercpu_time_millis: 1553.137, usercpu_time_millis_testing: 102.295, usercpu_time_millis_training: 1450.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 28488.0249, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1255.9633, usercpu_time_millis: 1509.889, usercpu_time_millis_testing: 48.684, usercpu_time_millis_training: 1461.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9542, kappa: 0.8864, kb_relative_information_score: 23908.7644, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9548, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4688, scimark_benchmark: 1256.1288, usercpu_time_millis: 491.282, usercpu_time_millis_testing: 33.064, usercpu_time_millis_training: 458.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9545, kappa: 0.8885, kb_relative_information_score: 27700.046, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4177, scimark_benchmark: 1281.7947, usercpu_time_millis: 2255.57, usercpu_time_millis_testing: 24.437, usercpu_time_millis_training: 2231.133,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9408, kappa: 0.8536, kb_relative_information_score: 25396.8544, mean_absolute_error: 0.1152, 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: 0.2824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4709, scimark_benchmark: 1258.8793, usercpu_time_millis: 481.7, usercpu_time_millis_testing: 24.415, usercpu_time_millis_training: 457.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.95, kappa: 0.8769, kb_relative_information_score: 26499.8086, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392, scimark_benchmark: 1272.6889, usercpu_time_millis: 271.427, usercpu_time_millis_testing: 10.591, usercpu_time_millis_training: 260.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 28909.0238, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3705, scimark_benchmark: 1295.7492, usercpu_time_millis: 250.647, usercpu_time_millis_testing: 8.781, usercpu_time_millis_training: 241.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 27604.0699, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9557, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.4132, scimark_benchmark: 1315.0174, usercpu_time_millis: 1415.869, usercpu_time_millis_testing: 25.697, usercpu_time_millis_training: 1390.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9682, kappa: 0.9219, kb_relative_information_score: 29853.0265, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3503, scimark_benchmark: 1320.1172, usercpu_time_millis: 543.673, usercpu_time_millis_testing: 5.524, usercpu_time_millis_training: 538.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9401, kappa: 0.8518, kb_relative_information_score: 25487.7802, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 0.863, recall: 0.9407, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4737, scimark_benchmark: 1261.8308, usercpu_time_millis: 2026.71, usercpu_time_millis_testing: 57.158, usercpu_time_millis_training: 1969.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9483, kappa: 0.8719, kb_relative_information_score: 23870.6816, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9489, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4813, scimark_benchmark: 1252.4739, usercpu_time_millis: 885.894, usercpu_time_millis_testing: 47.183, usercpu_time_millis_training: 838.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28403.2722, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.3861, scimark_benchmark: 1251.5339, usercpu_time_millis: 576.996, usercpu_time_millis_testing: 25.273, usercpu_time_millis_training: 551.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9611, kappa: 0.9042, kb_relative_information_score: 28171.45, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3898, scimark_benchmark: 1250.277, usercpu_time_millis: 406.223, usercpu_time_millis_testing: 11.409, usercpu_time_millis_training: 394.814,

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