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: 0.9895, f_measure: 0.9546, kappa: 0.8886, kb_relative_information_score: 27531.2209, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4206, scimark_benchmark: 1235.5123, usercpu_time_millis: 5120.056, usercpu_time_millis_testing: 81.972, usercpu_time_millis_training: 5038.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29363.6803, mean_absolute_error: 0.0653, 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: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1267.7105, usercpu_time_millis: 1703.904, usercpu_time_millis_testing: 39.17, usercpu_time_millis_training: 1664.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9364, kappa: 0.8422, kb_relative_information_score: 24337.2992, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4914, scimark_benchmark: 1252.7031, usercpu_time_millis: 747.941, usercpu_time_millis_testing: 22.243, usercpu_time_millis_training: 725.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9474, kappa: 0.8695, kb_relative_information_score: 23522.1121, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4876, scimark_benchmark: 1286.4408, usercpu_time_millis: 1113.576, usercpu_time_millis_testing: 66.138, usercpu_time_millis_training: 1047.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.944, kappa: 0.8621, kb_relative_information_score: 26426.7594, mean_absolute_error: 0.1, 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: 0.245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4542, scimark_benchmark: 1268.0134, usercpu_time_millis: 2192.03, usercpu_time_millis_testing: 50.414, usercpu_time_millis_training: 2141.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.953, kappa: 0.8838, kb_relative_information_score: 26216.5508, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4355, scimark_benchmark: 1244.5222, usercpu_time_millis: 2013.648, usercpu_time_millis_testing: 107.901, usercpu_time_millis_training: 1905.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9266, kappa: 0.8168, kb_relative_information_score: 22860.1941, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.863, recall: 0.9282, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5233, scimark_benchmark: 1265.3553, usercpu_time_millis: 528.844, usercpu_time_millis_testing: 27.255, usercpu_time_millis_training: 501.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9375, kappa: 0.8449, kb_relative_information_score: 24913.8988, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4823, scimark_benchmark: 1247.4839, usercpu_time_millis: 468.035, usercpu_time_millis_testing: 16.037, usercpu_time_millis_training: 451.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.929, kappa: 0.823, kb_relative_information_score: 23915.243, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9306, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.3305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.5055, scimark_benchmark: 1290.0614, usercpu_time_millis: 980.812, usercpu_time_millis_testing: 24.067, usercpu_time_millis_training: 956.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9416, kappa: 0.8558, kb_relative_information_score: 26142.1443, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4623, scimark_benchmark: 1288.9586, usercpu_time_millis: 4185.807, usercpu_time_millis_testing: 74.121, usercpu_time_millis_training: 4111.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9292, kappa: 0.8236, kb_relative_information_score: 19101.4269, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5888, scimark_benchmark: 1292.2741, usercpu_time_millis: 759.164, usercpu_time_millis_testing: 42.375, usercpu_time_millis_training: 716.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9341, kappa: 0.8364, kb_relative_information_score: 25002.627, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.935, prior_entropy: 0.863, recall: 0.935, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4913, scimark_benchmark: 1250.6361, usercpu_time_millis: 5378.076, usercpu_time_millis_testing: 67.75, usercpu_time_millis_training: 5310.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 29352.352, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1259.9399, usercpu_time_millis: 793.194, usercpu_time_millis_testing: 13.176, usercpu_time_millis_training: 780.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9623, kappa: 0.9074, kb_relative_information_score: 28866.6691, mean_absolute_error: 0.0703, 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: 0.1723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3792, scimark_benchmark: 1292.2233, usercpu_time_millis: 8215.686, usercpu_time_millis_testing: 101.513, usercpu_time_millis_training: 8114.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9385, kappa: 0.8479, kb_relative_information_score: 25743.6361, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9386, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4734, scimark_benchmark: 1301.9644, usercpu_time_millis: 4386.065, usercpu_time_millis_testing: 63.998, usercpu_time_millis_training: 4322.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29637.3665, mean_absolute_error: 0.0612, 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: 0.15, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1246.5596, usercpu_time_millis: 2765.416, usercpu_time_millis_testing: 58.578, usercpu_time_millis_training: 2706.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9444, kappa: 0.8632, kb_relative_information_score: 26579.4246, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4532, scimark_benchmark: 1241.1154, usercpu_time_millis: 6846.529, usercpu_time_millis_testing: 63.114, usercpu_time_millis_training: 6783.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9532, kappa: 0.8851, kb_relative_information_score: 27490.0503, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9532, prior_entropy: 0.863, recall: 0.9532, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248, scimark_benchmark: 1252.1387, usercpu_time_millis: 5500.66, usercpu_time_millis_testing: 84.79, usercpu_time_millis_training: 5415.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29604.809, mean_absolute_error: 0.0615, 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: 0.1506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3523, scimark_benchmark: 1316.642, usercpu_time_millis: 5324.558, usercpu_time_millis_testing: 60.406, usercpu_time_millis_training: 5264.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9605, kappa: 0.9029, kb_relative_information_score: 28386.7919, mean_absolute_error: 0.0769, 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: 0.1884, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3895, scimark_benchmark: 1236.5917, usercpu_time_millis: 3378.231, usercpu_time_millis_testing: 96.924, usercpu_time_millis_training: 3281.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9164, kb_relative_information_score: 29304.9444, mean_absolute_error: 0.0655, 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: 0.1605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3596, scimark_benchmark: 1293.6863, usercpu_time_millis: 918.205, usercpu_time_millis_testing: 20.825, usercpu_time_millis_training: 897.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8895, kappa: 0.7193, kb_relative_information_score: 15122.0712, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9013, predictive_accuracy: 0.8956, prior_entropy: 0.863, recall: 0.8956, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6745, scimark_benchmark: 1296.4236, usercpu_time_millis: 435.548, usercpu_time_millis_testing: 31.792, usercpu_time_millis_training: 403.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9353, kappa: 0.8393, kb_relative_information_score: 23842.8131, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9364, prior_entropy: 0.863, recall: 0.9364, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4994, scimark_benchmark: 1241.8114, usercpu_time_millis: 1609.447, usercpu_time_millis_testing: 52.519, usercpu_time_millis_training: 1556.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9624, kappa: 0.9075, kb_relative_information_score: 28528.6955, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3798, scimark_benchmark: 1321.5934, usercpu_time_millis: 4090.56, usercpu_time_millis_testing: 86.757, usercpu_time_millis_training: 4003.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28931.1501, mean_absolute_error: 0.0697, 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: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.375, scimark_benchmark: 1248.5985, usercpu_time_millis: 774.217, usercpu_time_millis_testing: 12.951, usercpu_time_millis_training: 761.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9683, kappa: 0.9221, kb_relative_information_score: 29709.2954, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3475, scimark_benchmark: 1315.4371, usercpu_time_millis: 3211.609, usercpu_time_millis_testing: 54.46, usercpu_time_millis_training: 3157.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9387, kappa: 0.8484, kb_relative_information_score: 25685.0225, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.475, scimark_benchmark: 1312.8088, usercpu_time_millis: 5060.538, usercpu_time_millis_testing: 69.461, usercpu_time_millis_training: 4991.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9582, kappa: 0.8973, kb_relative_information_score: 28305.753, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1249.4076, usercpu_time_millis: 118.376, usercpu_time_millis_testing: 4.86, usercpu_time_millis_training: 113.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9458, kappa: 0.8661, kb_relative_information_score: 25872.5016, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4548, scimark_benchmark: 1290.4891, usercpu_time_millis: 2204.12, usercpu_time_millis_testing: 86.024, usercpu_time_millis_training: 2118.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9581, kappa: 0.8971, kb_relative_information_score: 27837.0139, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4035, scimark_benchmark: 1233.3043, usercpu_time_millis: 2209.728, usercpu_time_millis_testing: 82.183, usercpu_time_millis_training: 2127.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9189, kappa: 0.7975, kb_relative_information_score: 20039.904, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9209, predictive_accuracy: 0.9209, prior_entropy: 0.863, recall: 0.9209, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.576, scimark_benchmark: 1310.7895, usercpu_time_millis: 561.53, usercpu_time_millis_testing: 31.213, usercpu_time_millis_training: 530.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9428, kappa: 0.859, kb_relative_information_score: 26116.8985, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.46, scimark_benchmark: 1285.2558, usercpu_time_millis: 1990.563, usercpu_time_millis_testing: 30.851, usercpu_time_millis_training: 1959.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8753, kappa: 0.6953, kb_relative_information_score: 18561.4446, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8757, predictive_accuracy: 0.8749, prior_entropy: 0.863, recall: 0.8749, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.285, root_relative_squared_error: 0.6309, scimark_benchmark: 1240.4432, usercpu_time_millis: 860.785, usercpu_time_millis_testing: 25.08, usercpu_time_millis_training: 835.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9367, kappa: 0.8432, kb_relative_information_score: 25030.6263, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9376, prior_entropy: 0.863, recall: 0.9376, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841, scimark_benchmark: 1292.0365, usercpu_time_millis: 347.676, usercpu_time_millis_testing: 8.352, usercpu_time_millis_training: 339.324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9529, kappa: 0.8843, kb_relative_information_score: 27367.1784, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4278, scimark_benchmark: 1258.7256, usercpu_time_millis: 4112.73, usercpu_time_millis_testing: 86.039, usercpu_time_millis_training: 4026.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9448, kappa: 0.8637, kb_relative_information_score: 25895.2277, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4564, scimark_benchmark: 1254.3417, usercpu_time_millis: 2108.111, usercpu_time_millis_testing: 64.327, usercpu_time_millis_training: 2043.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9405, kappa: 0.8525, kb_relative_information_score: 25194.2526, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4719, scimark_benchmark: 1307.8229, usercpu_time_millis: 455.311, usercpu_time_millis_testing: 23.102, usercpu_time_millis_training: 432.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9578, kappa: 0.8965, kb_relative_information_score: 28257.1389, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3992, scimark_benchmark: 1259.9432, usercpu_time_millis: 3954.555, usercpu_time_millis_testing: 65.339, usercpu_time_millis_training: 3889.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8839, kappa: 0.7073, kb_relative_information_score: 13514.1198, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8887, predictive_accuracy: 0.8885, prior_entropy: 0.863, recall: 0.8885, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.7104, scimark_benchmark: 1256.8494, usercpu_time_millis: 82.781, usercpu_time_millis_testing: 4.736, usercpu_time_millis_training: 78.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8683, kappa: 0.6777, kb_relative_information_score: 16523.3472, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.863, recall: 0.868, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6791, scimark_benchmark: 1260.9723, usercpu_time_millis: 828.085, usercpu_time_millis_testing: 39.815, usercpu_time_millis_training: 788.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9378, kappa: 0.8462, kb_relative_information_score: 25440.5914, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4773, scimark_benchmark: 1287.8321, usercpu_time_millis: 2439.668, usercpu_time_millis_testing: 39.052, usercpu_time_millis_training: 2400.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9301, kappa: 0.8259, kb_relative_information_score: 19503.5167, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9315, prior_entropy: 0.863, recall: 0.9315, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5806, scimark_benchmark: 1258.0216, usercpu_time_millis: 745.991, usercpu_time_millis_testing: 40.895, usercpu_time_millis_training: 705.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9653, kappa: 0.9148, kb_relative_information_score: 29285.0798, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1264.1975, usercpu_time_millis: 8889.395, usercpu_time_millis_testing: 95.676, usercpu_time_millis_training: 8793.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29023.4182, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3725, scimark_benchmark: 1262.9535, usercpu_time_millis: 6163.194, usercpu_time_millis_testing: 112.772, usercpu_time_millis_training: 6050.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9347, kappa: 0.8381, kb_relative_information_score: 25323.7462, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.935, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4872, scimark_benchmark: 1258.5011, usercpu_time_millis: 3162.614, usercpu_time_millis_testing: 53.287, usercpu_time_millis_training: 3109.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9595, kappa: 0.9006, kb_relative_information_score: 28341.3465, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1228.1046, usercpu_time_millis: 3435.789, usercpu_time_millis_testing: 78.437, usercpu_time_millis_training: 3357.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9327, kappa: 0.8326, kb_relative_information_score: 24325.6136, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9337, predictive_accuracy: 0.9339, prior_entropy: 0.863, recall: 0.9339, relative_absolute_error: 0.3173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4969, scimark_benchmark: 1290.1968, usercpu_time_millis: 336.043, usercpu_time_millis_testing: 17.249, usercpu_time_millis_training: 318.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 29705.7777, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505, scimark_benchmark: 1287.0056, usercpu_time_millis: 5613.672, usercpu_time_millis_testing: 61.027, usercpu_time_millis_training: 5552.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29860.3675, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3467, scimark_benchmark: 1251.0673, usercpu_time_millis: 629.746, usercpu_time_millis_testing: 8.88, usercpu_time_millis_training: 620.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9455, kappa: 0.8656, kb_relative_information_score: 26339.8667, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9455, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4533, scimark_benchmark: 1260.9145, usercpu_time_millis: 2588.021, usercpu_time_millis_testing: 90.36, usercpu_time_millis_training: 2497.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9577, kappa: 0.8962, kb_relative_information_score: 28058.2317, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9577, predictive_accuracy: 0.9578, prior_entropy: 0.863, recall: 0.9578, relative_absolute_error: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4028, scimark_benchmark: 1271.1736, usercpu_time_millis: 1645.421, usercpu_time_millis_testing: 22.667, usercpu_time_millis_training: 1622.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 28691.1313, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3853, scimark_benchmark: 1253.3137, usercpu_time_millis: 4059.703, usercpu_time_millis_testing: 54.811, usercpu_time_millis_training: 4004.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9505, kappa: 0.8778, kb_relative_information_score: 26252.8624, mean_absolute_error: 0.1056, 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: 0.2588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4404, scimark_benchmark: 1282.32, usercpu_time_millis: 711.209, usercpu_time_millis_testing: 25.654, usercpu_time_millis_training: 685.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.952, kappa: 0.8819, kb_relative_information_score: 27039.2744, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4307, scimark_benchmark: 1308.1195, usercpu_time_millis: 1638.922, usercpu_time_millis_testing: 67.187, usercpu_time_millis_training: 1571.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9317, kappa: 0.8302, kb_relative_information_score: 24580.0833, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1254.3771, usercpu_time_millis: 2305.23, usercpu_time_millis_testing: 70.929, usercpu_time_millis_training: 2234.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.936, kappa: 0.8411, kb_relative_information_score: 24698.3418, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4881, scimark_benchmark: 1285.6456, usercpu_time_millis: 197.27, usercpu_time_millis_testing: 7.174, usercpu_time_millis_training: 190.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9449, kappa: 0.8638, kb_relative_information_score: 26037.4932, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.206, root_relative_squared_error: 0.456, scimark_benchmark: 1260.6586, usercpu_time_millis: 747.3, usercpu_time_millis_testing: 35.933, usercpu_time_millis_training: 711.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9608, kappa: 0.9037, kb_relative_information_score: 28122.0942, mean_absolute_error: 0.0812, 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: 0.1989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1263.3723, usercpu_time_millis: 1622.187, usercpu_time_millis_testing: 55.795, usercpu_time_millis_training: 1566.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.952, kappa: 0.8822, kb_relative_information_score: 27360.5755, mean_absolute_error: 0.0884, 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: 0.2166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4299, scimark_benchmark: 1279.6811, usercpu_time_millis: 590.818, usercpu_time_millis_testing: 7.416, usercpu_time_millis_training: 583.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29167.5558, mean_absolute_error: 0.0669, 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: 0.164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3677, scimark_benchmark: 1292.8671, usercpu_time_millis: 2998.857, usercpu_time_millis_testing: 48.992, usercpu_time_millis_training: 2949.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9406, kappa: 0.8531, kb_relative_information_score: 25902.8818, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4653, scimark_benchmark: 1221.8847, usercpu_time_millis: 4355.846, usercpu_time_millis_testing: 75.313, usercpu_time_millis_training: 4280.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9285, kappa: 0.8218, kb_relative_information_score: 23278.7546, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9298, predictive_accuracy: 0.9299, prior_entropy: 0.863, recall: 0.9299, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5145, scimark_benchmark: 1217.0231, usercpu_time_millis: 1507.056, usercpu_time_millis_testing: 42.161, usercpu_time_millis_training: 1464.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9376, kappa: 0.8456, kb_relative_information_score: 25671.5853, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9383, prior_entropy: 0.863, recall: 0.9383, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771, scimark_benchmark: 1259.668, usercpu_time_millis: 1148.246, usercpu_time_millis_testing: 36.311, usercpu_time_millis_training: 1111.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.97, kappa: 0.9265, kb_relative_information_score: 30108.7846, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3377, scimark_benchmark: 1262.838, usercpu_time_millis: 877.108, usercpu_time_millis_testing: 13.38, usercpu_time_millis_training: 863.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9492, kappa: 0.8753, kb_relative_information_score: 27043.2636, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397, scimark_benchmark: 1288.6417, usercpu_time_millis: 3290.557, usercpu_time_millis_testing: 27.883, usercpu_time_millis_training: 3262.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9549, kappa: 0.8893, kb_relative_information_score: 27727.0796, mean_absolute_error: 0.0843, 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: 0.2067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4154, scimark_benchmark: 1255.9016, usercpu_time_millis: 3660.829, usercpu_time_millis_testing: 86.294, usercpu_time_millis_training: 3574.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9586, kappa: 0.8982, kb_relative_information_score: 27972.2911, mean_absolute_error: 0.082, 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: 0.2009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1261.9476, usercpu_time_millis: 3491.68, usercpu_time_millis_testing: 79.651, usercpu_time_millis_training: 3412.029,

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