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: 0.9937, f_measure: 0.9678, kappa: 0.9211, kb_relative_information_score: 29868.6884, mean_absolute_error: 0.0576, 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: 0.141, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3506, scimark_benchmark: 1297.9774, usercpu_time_millis: 10646.409, usercpu_time_millis_testing: 51.863, usercpu_time_millis_training: 10594.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28897.7956, mean_absolute_error: 0.0693, 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: 0.1699, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3862, scimark_benchmark: 1276.5456, usercpu_time_millis: 207.977, usercpu_time_millis_testing: 5.119, usercpu_time_millis_training: 202.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 28614.9422, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3899, scimark_benchmark: 1278.4981, usercpu_time_millis: 4381.84, usercpu_time_millis_testing: 47.538, usercpu_time_millis_training: 4334.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.939, kappa: 0.8501, kb_relative_information_score: 26692.7886, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9391, prior_entropy: 0.863, recall: 0.9391, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4656, scimark_benchmark: 1296.8103, usercpu_time_millis: 9952.168, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 9951.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29458.0552, mean_absolute_error: 0.063, 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: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.361, scimark_benchmark: 1295.2117, usercpu_time_millis: 961.61, usercpu_time_millis_testing: 9.709, usercpu_time_millis_training: 951.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9384, kappa: 0.8474, kb_relative_information_score: 15670.4019, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.625, scimark_benchmark: 1278.367, usercpu_time_millis: 2319.548, usercpu_time_millis_testing: 11.014, usercpu_time_millis_training: 2308.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9481, kappa: 0.8726, kb_relative_information_score: 28268.6011, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1335.2295, usercpu_time_millis: 8914.715, usercpu_time_millis_testing: 77.208, usercpu_time_millis_training: 8837.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29887.9681, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607, scimark_benchmark: 1294.2996, usercpu_time_millis: 8914.689, usercpu_time_millis_testing: 22.693, usercpu_time_millis_training: 8891.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 28715.1242, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3676, scimark_benchmark: 1298.5738, usercpu_time_millis: 227.452, usercpu_time_millis_testing: 11.291, usercpu_time_millis_training: 216.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9619, kappa: 0.9064, kb_relative_information_score: 28704.9563, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9619, prior_entropy: 0.863, recall: 0.9619, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3837, scimark_benchmark: 1298.0575, usercpu_time_millis: 282.382, usercpu_time_millis_testing: 8.307, usercpu_time_millis_training: 274.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29260.6057, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.3621, scimark_benchmark: 1295.1313, usercpu_time_millis: 5362.502, usercpu_time_millis_testing: 89.643, usercpu_time_millis_training: 5272.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9669, kappa: 0.9189, kb_relative_information_score: 29694.4116, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567, scimark_benchmark: 1266.9035, usercpu_time_millis: 13352.726, usercpu_time_millis_testing: 43.83, usercpu_time_millis_training: 13308.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 28112.3984, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1308.5501, usercpu_time_millis: 3929.589, usercpu_time_millis_testing: 63.504, usercpu_time_millis_training: 3866.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9312, kappa: 0.8302, kb_relative_information_score: 22416.1097, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9311, predictive_accuracy: 0.9317, prior_entropy: 0.863, recall: 0.9317, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.5329, scimark_benchmark: 1267.5009, usercpu_time_millis: 10826.259, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 10825.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29465.9017, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3573, scimark_benchmark: 1284.7397, usercpu_time_millis: 6044.599, usercpu_time_millis_testing: 69.584, usercpu_time_millis_training: 5975.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9724, kappa: 0.9323, kb_relative_information_score: 31599.2032, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.863, recall: 0.9724, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.3241, scimark_benchmark: 1303.189, usercpu_time_millis: 903.275, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 900.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9551, kappa: 0.8893, kb_relative_information_score: 26606.7868, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.2515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4227, scimark_benchmark: 1253.3532, usercpu_time_millis: 655.676, usercpu_time_millis_testing: 43.103, usercpu_time_millis_training: 612.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9693, kappa: 0.9247, kb_relative_information_score: 30554.8758, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.863, recall: 0.9693, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3342, scimark_benchmark: 1262.3418, usercpu_time_millis: 6265.47, usercpu_time_millis_testing: 14.279, usercpu_time_millis_training: 6251.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 28801.872, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3785, scimark_benchmark: 1305.8888, usercpu_time_millis: 1983.075, usercpu_time_millis_testing: 49.599, usercpu_time_millis_training: 1933.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9683, kappa: 0.9221, kb_relative_information_score: 29738.2098, mean_absolute_error: 0.0594, 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: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3523, scimark_benchmark: 1278.4549, usercpu_time_millis: 11752.047, usercpu_time_millis_testing: 73.778, usercpu_time_millis_training: 11678.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 30037.4337, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.3456, scimark_benchmark: 1306.3567, usercpu_time_millis: 334.707, usercpu_time_millis_testing: 1.812, usercpu_time_millis_training: 332.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9458, kappa: 0.8669, kb_relative_information_score: 27771.9853, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9457, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4373, scimark_benchmark: 1282.7906, usercpu_time_millis: 2604.964, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 2603.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29510.1302, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358, scimark_benchmark: 1291.4633, usercpu_time_millis: 10713.944, usercpu_time_millis_testing: 71.642, usercpu_time_millis_training: 10642.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9212, kappa: 0.8043, kb_relative_information_score: 20612.7283, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9224, prior_entropy: 0.863, recall: 0.9224, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.572, scimark_benchmark: 1294.6526, usercpu_time_millis: 11012.662, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 11011.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 28152.411, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4306, scimark_benchmark: 1290.5519, usercpu_time_millis: 4662.07, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 4661.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9308, kappa: 0.8298, kb_relative_information_score: 23719.4918, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9312, prior_entropy: 0.863, recall: 0.9312, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5152, scimark_benchmark: 1270.4897, usercpu_time_millis: 7334.397, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 7333.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9596, kappa: 0.9008, kb_relative_information_score: 28256.9324, mean_absolute_error: 0.0785, 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: 0.1924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3942, scimark_benchmark: 1266.3733, usercpu_time_millis: 2662.711, usercpu_time_millis_testing: 92.263, usercpu_time_millis_training: 2570.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.934, kappa: 0.8377, kb_relative_information_score: 25238.4898, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4934, scimark_benchmark: 1297.9566, usercpu_time_millis: 6521.785, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 6520.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9431, kappa: 0.8601, kb_relative_information_score: 27001.124, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.943, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4536, scimark_benchmark: 1266.961, usercpu_time_millis: 12041.854, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 12040.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9682, kappa: 0.9218, kb_relative_information_score: 29654.6629, mean_absolute_error: 0.0611, 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: 0.1498, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3466, scimark_benchmark: 1245.8878, usercpu_time_millis: 2832.472, usercpu_time_millis_testing: 54.899, usercpu_time_millis_training: 2777.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9454, kappa: 0.866, kb_relative_information_score: 27787.9395, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.4391, scimark_benchmark: 1307.2469, usercpu_time_millis: 2259.085, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 2258.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29420.095, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3531, scimark_benchmark: 1296.259, usercpu_time_millis: 215.476, usercpu_time_millis_testing: 8.736, usercpu_time_millis_training: 206.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9675, kappa: 0.9204, kb_relative_information_score: 29550.4132, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3514, scimark_benchmark: 1224.9558, usercpu_time_millis: 3780.393, usercpu_time_millis_testing: 58.501, usercpu_time_millis_training: 3721.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 29734.9947, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3548, scimark_benchmark: 1268.7528, usercpu_time_millis: 13148.987, usercpu_time_millis_testing: 43.028, usercpu_time_millis_training: 13105.959,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9471, kappa: 0.8698, kb_relative_information_score: 23349.0464, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9473, prior_entropy: 0.863, recall: 0.9473, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.476, scimark_benchmark: 1299.1339, usercpu_time_millis: 12382.664, usercpu_time_millis_testing: 21.565, usercpu_time_millis_training: 12361.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9412, kappa: 0.8556, kb_relative_information_score: 27286.4481, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.4552, scimark_benchmark: 1298.757, usercpu_time_millis: 10912.24, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 10911.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9474, kappa: 0.8709, kb_relative_information_score: 28004.6657, mean_absolute_error: 0.0781, 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: 0.1914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4325, scimark_benchmark: 1303.8385, usercpu_time_millis: 9138.408, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 9137.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 29426.7518, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3645, scimark_benchmark: 1231.194, usercpu_time_millis: 8575.712, usercpu_time_millis_testing: 47.464, usercpu_time_millis_training: 8528.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.968, kappa: 0.9214, kb_relative_information_score: 29740.6176, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9679, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1304.6383, usercpu_time_millis: 13467.067, usercpu_time_millis_testing: 54.965, usercpu_time_millis_training: 13412.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28823.9795, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1230.2376, usercpu_time_millis: 7236.974, usercpu_time_millis_testing: 52.264, usercpu_time_millis_training: 7184.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9376, kappa: 0.8466, kb_relative_information_score: 26207.835, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.863, recall: 0.9378, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4738, scimark_benchmark: 1275.0067, usercpu_time_millis: 6993.633, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 6992.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9628, kappa: 0.9087, kb_relative_information_score: 28946.3858, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3782, scimark_benchmark: 1251.2561, usercpu_time_millis: 9187.364, usercpu_time_millis_testing: 73.07, usercpu_time_millis_training: 9114.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29605.8121, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3643, scimark_benchmark: 1272.4, usercpu_time_millis: 3548.85, usercpu_time_millis_testing: 12.233, usercpu_time_millis_training: 3536.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9427, kappa: 0.8593, kb_relative_information_score: 27374.9108, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4515, scimark_benchmark: 1306.3646, usercpu_time_millis: 6624.935, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 6623.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 29297.1442, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3632, scimark_benchmark: 1303.776, usercpu_time_millis: 7974.081, usercpu_time_millis_testing: 93.368, usercpu_time_millis_training: 7880.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9474, kappa: 0.8708, kb_relative_information_score: 27991.8776, mean_absolute_error: 0.0782, 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: 0.1915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4338, scimark_benchmark: 1265.9532, usercpu_time_millis: 9036.939, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 9036.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.961, kappa: 0.9041, kb_relative_information_score: 28447.2626, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.3881, scimark_benchmark: 1287.036, usercpu_time_millis: 2592.307, usercpu_time_millis_testing: 80.511, usercpu_time_millis_training: 2511.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9499, kappa: 0.8773, kb_relative_information_score: 28347.0552, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.95, prior_entropy: 0.863, recall: 0.95, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4244, scimark_benchmark: 1268.6431, usercpu_time_millis: 13592.68, usercpu_time_millis_testing: 75.929, usercpu_time_millis_training: 13516.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9433, kappa: 0.8606, kb_relative_information_score: 26675.7275, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.453, scimark_benchmark: 1312.3069, usercpu_time_millis: 7740.839, usercpu_time_millis_testing: 24.754, usercpu_time_millis_training: 7716.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29594.3434, mean_absolute_error: 0.0614, 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: 0.1504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3563, scimark_benchmark: 1265.231, usercpu_time_millis: 6928.104, usercpu_time_millis_testing: 40.323, usercpu_time_millis_training: 6887.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9669, kappa: 0.9187, kb_relative_information_score: 29573.0131, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587, scimark_benchmark: 1226.9639, usercpu_time_millis: 11422.226, usercpu_time_millis_testing: 49.732, usercpu_time_millis_training: 11372.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9356, kappa: 0.8415, kb_relative_information_score: 24447.3725, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9358, prior_entropy: 0.863, recall: 0.9358, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4975, scimark_benchmark: 1298.9173, usercpu_time_millis: 4907.526, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 4906.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9423, kappa: 0.8584, kb_relative_information_score: 27346.6385, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4527, scimark_benchmark: 1304.7571, usercpu_time_millis: 11696.512, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 11695.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9652, kappa: 0.9147, kb_relative_information_score: 29386.6657, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612, scimark_benchmark: 1290.605, usercpu_time_millis: 134.327, usercpu_time_millis_testing: 4.637, usercpu_time_millis_training: 129.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.966, kappa: 0.9167, kb_relative_information_score: 29565.1539, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607, scimark_benchmark: 1250.7402, usercpu_time_millis: 10782.487, usercpu_time_millis_testing: 50.549, usercpu_time_millis_training: 10731.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9331, kappa: 0.8335, kb_relative_information_score: 21110.0718, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9343, prior_entropy: 0.863, recall: 0.9343, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.5453, scimark_benchmark: 1273.618, usercpu_time_millis: 3881.665, usercpu_time_millis_testing: 22.369, usercpu_time_millis_training: 3859.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9374, kappa: 0.8461, kb_relative_information_score: 25886.3095, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9372, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4777, scimark_benchmark: 1276.5766, usercpu_time_millis: 5576.458, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 5575.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9611, kappa: 0.9045, kb_relative_information_score: 28570.475, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9612, prior_entropy: 0.863, recall: 0.9612, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3873, scimark_benchmark: 1272.3267, usercpu_time_millis: 3404.544, usercpu_time_millis_testing: 69.971, usercpu_time_millis_training: 3334.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9669, kappa: 0.9188, kb_relative_information_score: 29550.1991, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9669, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 1250.3783, usercpu_time_millis: 17294.95, usercpu_time_millis_testing: 77.996, usercpu_time_millis_training: 17216.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9311, kappa: 0.8282, kb_relative_information_score: 16764.6232, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.605, scimark_benchmark: 1289.0262, usercpu_time_millis: 11590.382, usercpu_time_millis_testing: 25.952, usercpu_time_millis_training: 11564.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9744, kappa: 0.9371, kb_relative_information_score: 31444.5181, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 0.863, recall: 0.9744, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3094, scimark_benchmark: 1277.7277, usercpu_time_millis: 15708.034, usercpu_time_millis_testing: 57.001, usercpu_time_millis_training: 15651.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9679, kappa: 0.9212, kb_relative_information_score: 29784.2941, mean_absolute_error: 0.0588, 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: 0.1441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3502, scimark_benchmark: 1291.8862, usercpu_time_millis: 2503.424, usercpu_time_millis_testing: 18.639, usercpu_time_millis_training: 2484.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.924, kappa: 0.8111, kb_relative_information_score: 20756.8171, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9248, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.5467, scimark_benchmark: 1267.2176, usercpu_time_millis: 7599.996, usercpu_time_millis_testing: 28.087, usercpu_time_millis_training: 7571.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29399.0828, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3659, scimark_benchmark: 1269.0184, usercpu_time_millis: 10273.053, usercpu_time_millis_testing: 36.17, usercpu_time_millis_training: 10236.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29715.3091, mean_absolute_error: 0.0597, 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: 0.1462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1267.9491, usercpu_time_millis: 6371.002, usercpu_time_millis_testing: 44.65, usercpu_time_millis_training: 6326.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9463, kappa: 0.8693, kb_relative_information_score: 28670.2145, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9469, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429, scimark_benchmark: 1306.944, usercpu_time_millis: 32.927, usercpu_time_millis_testing: 2.384, usercpu_time_millis_training: 30.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9476, kappa: 0.871, kb_relative_information_score: 28070.0235, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9478, prior_entropy: 0.863, recall: 0.9478, relative_absolute_error: 0.1905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4402, scimark_benchmark: 1265.476, usercpu_time_millis: 13439.418, usercpu_time_millis_testing: 131.966, usercpu_time_millis_training: 13307.452,

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