Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8729, kappa: 0.7394, kb_relative_information_score: 26619.3136, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8729, predictive_accuracy: 0.8731, prior_entropy: 0.9835, recall: 0.8731, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6191, scimark_benchmark: 1249.7615, usercpu_time_millis: 545.917, usercpu_time_millis_testing: 27.578, usercpu_time_millis_training: 518.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9153, kappa: 0.8266, kb_relative_information_score: 32048.9053, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9153, predictive_accuracy: 0.9153, prior_entropy: 0.9835, recall: 0.9153, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5147, scimark_benchmark: 1298.2652, usercpu_time_millis: 665.996, usercpu_time_millis_testing: 15.836, usercpu_time_millis_training: 650.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8823, kappa: 0.7585, kb_relative_information_score: 27129.5547, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8824, predictive_accuracy: 0.8826, prior_entropy: 0.9835, recall: 0.8826, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5974, scimark_benchmark: 1283.4786, usercpu_time_millis: 386.821, usercpu_time_millis_testing: 20.478, usercpu_time_millis_training: 366.343,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8556, kappa: 0.7036, kb_relative_information_score: 24701.811, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8558, predictive_accuracy: 0.8561, prior_entropy: 0.9835, recall: 0.8561, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6506, scimark_benchmark: 1280.0076, usercpu_time_millis: 1222.517, usercpu_time_millis_testing: 89.128, usercpu_time_millis_training: 1133.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9154, kappa: 0.8268, kb_relative_information_score: 32041.7737, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9154, predictive_accuracy: 0.9154, prior_entropy: 0.9835, recall: 0.9154, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5141, scimark_benchmark: 1247.3699, usercpu_time_millis: 1067.976, usercpu_time_millis_testing: 23.298, usercpu_time_millis_training: 1044.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8964, kappa: 0.7877, kb_relative_information_score: 29027.5075, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8964, predictive_accuracy: 0.8966, prior_entropy: 0.9835, recall: 0.8966, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5683, scimark_benchmark: 1304.6027, usercpu_time_millis: 825.284, usercpu_time_millis_testing: 37.855, usercpu_time_millis_training: 787.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9219, kappa: 0.8402, kb_relative_information_score: 32793.9636, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9219, predictive_accuracy: 0.922, prior_entropy: 0.9835, recall: 0.922, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.498, scimark_benchmark: 1300.0288, usercpu_time_millis: 1372.229, usercpu_time_millis_testing: 35.234, usercpu_time_millis_training: 1336.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8944, kappa: 0.7836, kb_relative_information_score: 29100.2511, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8943, predictive_accuracy: 0.8945, prior_entropy: 0.9835, recall: 0.8945, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5711, scimark_benchmark: 1283.2235, usercpu_time_millis: 1531.603, usercpu_time_millis_testing: 58.698, usercpu_time_millis_training: 1472.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9065, kappa: 0.8085, kb_relative_information_score: 30493.0682, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9065, predictive_accuracy: 0.9066, prior_entropy: 0.9835, recall: 0.9066, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5408, scimark_benchmark: 1300.7621, usercpu_time_millis: 122.043, usercpu_time_millis_testing: 4.307, usercpu_time_millis_training: 117.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8653, kappa: 0.7235, kb_relative_information_score: 23101.0612, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8655, predictive_accuracy: 0.8658, prior_entropy: 0.9835, recall: 0.8658, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6549, scimark_benchmark: 1298.7548, usercpu_time_millis: 489.424, usercpu_time_millis_testing: 28.845, usercpu_time_millis_training: 460.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9102, kappa: 0.8159, kb_relative_information_score: 30951.3978, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9102, predictive_accuracy: 0.9103, prior_entropy: 0.9835, recall: 0.9103, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5299, scimark_benchmark: 1294.9978, usercpu_time_millis: 831.429, usercpu_time_millis_testing: 32.36, usercpu_time_millis_training: 799.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8583, kappa: 0.7091, kb_relative_information_score: 22332.1644, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8588, predictive_accuracy: 0.859, prior_entropy: 0.9835, recall: 0.859, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.6692, scimark_benchmark: 1300.5583, usercpu_time_millis: 329.479, usercpu_time_millis_testing: 23.132, usercpu_time_millis_training: 306.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8931, kappa: 0.781, kb_relative_information_score: 28889.4146, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8931, predictive_accuracy: 0.8932, prior_entropy: 0.9835, recall: 0.8932, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.5751, scimark_benchmark: 1290.6823, usercpu_time_millis: 424.233, usercpu_time_millis_testing: 17.021, usercpu_time_millis_training: 407.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.883, kappa: 0.7601, kb_relative_information_score: 27314.7063, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8831, predictive_accuracy: 0.8833, prior_entropy: 0.9835, recall: 0.8833, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5999, scimark_benchmark: 1302.5331, usercpu_time_millis: 169.431, usercpu_time_millis_testing: 9.534, usercpu_time_millis_training: 159.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.922, kappa: 0.8402, kb_relative_information_score: 33393.2494, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.922, predictive_accuracy: 0.922, prior_entropy: 0.9835, recall: 0.922, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.493, scimark_benchmark: 1288.2204, usercpu_time_millis: 378.221, usercpu_time_millis_testing: 9.542, usercpu_time_millis_training: 368.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8968, kappa: 0.7885, kb_relative_information_score: 28959.2079, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8969, predictive_accuracy: 0.897, prior_entropy: 0.9835, recall: 0.897, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5641, scimark_benchmark: 1298.7961, usercpu_time_millis: 225.724, usercpu_time_millis_testing: 11.298, usercpu_time_millis_training: 214.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9243, kappa: 0.8449, kb_relative_information_score: 33597.9003, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 0.9835, recall: 0.9243, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4896, scimark_benchmark: 1291.6491, usercpu_time_millis: 143.949, usercpu_time_millis_testing: 4.292, usercpu_time_millis_training: 139.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8449, kappa: 0.6812, kb_relative_information_score: 20992.0704, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8458, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6946, scimark_benchmark: 1282.4579, usercpu_time_millis: 483.61, usercpu_time_millis_testing: 42.501, usercpu_time_millis_training: 441.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9157, kappa: 0.8272, kb_relative_information_score: 31666.5974, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9156, predictive_accuracy: 0.9157, prior_entropy: 0.9835, recall: 0.9157, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5153, scimark_benchmark: 1282.1279, usercpu_time_millis: 425.893, usercpu_time_millis_testing: 17.352, usercpu_time_millis_training: 408.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9068, kappa: 0.8092, kb_relative_information_score: 30792.7164, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9068, predictive_accuracy: 0.9069, prior_entropy: 0.9835, recall: 0.9069, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5382, scimark_benchmark: 1284.829, usercpu_time_millis: 986.743, usercpu_time_millis_testing: 29.526, usercpu_time_millis_training: 957.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8684, kappa: 0.7299, kb_relative_information_score: 23588.5347, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8686, predictive_accuracy: 0.8688, prior_entropy: 0.9835, recall: 0.8688, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6468, scimark_benchmark: 1275.7228, usercpu_time_millis: 509.597, usercpu_time_millis_testing: 30.772, usercpu_time_millis_training: 478.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8624, kappa: 0.7176, kb_relative_information_score: 22842.8326, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8628, predictive_accuracy: 0.863, prior_entropy: 0.9835, recall: 0.863, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.6602, scimark_benchmark: 1293.3624, usercpu_time_millis: 471.806, usercpu_time_millis_testing: 32.579, usercpu_time_millis_training: 439.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.8807, kappa: 0.7555, kb_relative_information_score: 27291.31, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8807, predictive_accuracy: 0.881, prior_entropy: 0.9835, recall: 0.881, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6041, scimark_benchmark: 1279.3303, usercpu_time_millis: 420.534, usercpu_time_millis_testing: 23.555, usercpu_time_millis_training: 396.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8788, kappa: 0.7517, kb_relative_information_score: 27222.1643, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8788, predictive_accuracy: 0.879, prior_entropy: 0.9835, recall: 0.879, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6088, scimark_benchmark: 1289.2296, usercpu_time_millis: 750.994, usercpu_time_millis_testing: 33.95, usercpu_time_millis_training: 717.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8321, kappa: 0.6546, kb_relative_information_score: 19921.4468, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8338, predictive_accuracy: 0.8335, prior_entropy: 0.9835, recall: 0.8335, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7153, scimark_benchmark: 1289.9467, usercpu_time_millis: 614.03, usercpu_time_millis_testing: 60.702, usercpu_time_millis_training: 553.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8693, kappa: 0.7318, kb_relative_information_score: 26090.169, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8693, predictive_accuracy: 0.8696, prior_entropy: 0.9835, recall: 0.8696, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6264, scimark_benchmark: 1273.9253, usercpu_time_millis: 548.805, usercpu_time_millis_testing: 32.272, usercpu_time_millis_training: 516.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.888, kappa: 0.7705, kb_relative_information_score: 28256.3111, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.888, predictive_accuracy: 0.8881, prior_entropy: 0.9835, recall: 0.8881, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5882, scimark_benchmark: 1297.0077, usercpu_time_millis: 1389.784, usercpu_time_millis_testing: 54.058, usercpu_time_millis_training: 1335.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9177, kappa: 0.8315, kb_relative_information_score: 31993.0126, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9177, predictive_accuracy: 0.9178, prior_entropy: 0.9835, recall: 0.9178, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.5101, scimark_benchmark: 1205.9107, usercpu_time_millis: 560.035, usercpu_time_millis_testing: 15.725, usercpu_time_millis_training: 544.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8988, kappa: 0.7927, kb_relative_information_score: 29440.8005, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8988, predictive_accuracy: 0.8989, prior_entropy: 0.9835, recall: 0.8989, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.5618, scimark_benchmark: 1289.7756, usercpu_time_millis: 962.915, usercpu_time_millis_testing: 34.038, usercpu_time_millis_training: 928.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9193, kappa: 0.8349, kb_relative_information_score: 33738.7447, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9193, predictive_accuracy: 0.9194, prior_entropy: 0.9835, recall: 0.9194, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.496, scimark_benchmark: 1279.5093, usercpu_time_millis: 406.473, usercpu_time_millis_testing: 7.721, usercpu_time_millis_training: 398.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8755, kappa: 0.7446, kb_relative_information_score: 26437.1275, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8756, predictive_accuracy: 0.8758, prior_entropy: 0.9835, recall: 0.8758, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6119, scimark_benchmark: 1287.2806, usercpu_time_millis: 362.662, usercpu_time_millis_testing: 21.142, usercpu_time_millis_training: 341.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9019, kappa: 0.799, kb_relative_information_score: 29834.8167, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.9835, recall: 0.902, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5537, scimark_benchmark: 1279.5778, usercpu_time_millis: 1071.202, usercpu_time_millis_testing: 41.893, usercpu_time_millis_training: 1029.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8772, kappa: 0.7482, kb_relative_information_score: 26784.5791, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8774, predictive_accuracy: 0.8776, prior_entropy: 0.9835, recall: 0.8776, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6099, scimark_benchmark: 1300.5272, usercpu_time_millis: 1092.954, usercpu_time_millis_testing: 67.54, usercpu_time_millis_training: 1025.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.871, kappa: 0.7355, kb_relative_information_score: 26440.1364, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8711, predictive_accuracy: 0.8714, prior_entropy: 0.9835, recall: 0.8714, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6203, scimark_benchmark: 1291.1387, usercpu_time_millis: 293.271, usercpu_time_millis_testing: 16.849, usercpu_time_millis_training: 276.422,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8923, kappa: 0.7793, kb_relative_information_score: 28735.4972, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8923, predictive_accuracy: 0.8924, prior_entropy: 0.9835, recall: 0.8924, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5758, scimark_benchmark: 1246.2113, usercpu_time_millis: 781.492, usercpu_time_millis_testing: 35.291, usercpu_time_millis_training: 746.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8684, kappa: 0.7304, kb_relative_information_score: 26359.5349, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8684, predictive_accuracy: 0.8687, prior_entropy: 0.9835, recall: 0.8687, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6265, scimark_benchmark: 1247.8327, usercpu_time_millis: 462.198, usercpu_time_millis_testing: 22.689, usercpu_time_millis_training: 439.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8915, kappa: 0.7778, kb_relative_information_score: 28956.2288, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8915, predictive_accuracy: 0.8917, prior_entropy: 0.9835, recall: 0.8917, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5758, scimark_benchmark: 1258.0425, usercpu_time_millis: 114.044, usercpu_time_millis_testing: 4.754, usercpu_time_millis_training: 109.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8897, kappa: 0.774, kb_relative_information_score: 28402.1624, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8897, predictive_accuracy: 0.8899, prior_entropy: 0.9835, recall: 0.8899, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5837, scimark_benchmark: 1289.7285, usercpu_time_millis: 386.234, usercpu_time_millis_testing: 16.394, usercpu_time_millis_training: 369.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9213, kappa: 0.839, kb_relative_information_score: 34213.3358, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9213, predictive_accuracy: 0.9213, prior_entropy: 0.9835, recall: 0.9213, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.4922, scimark_benchmark: 1304.8263, usercpu_time_millis: 1638.393, usercpu_time_millis_testing: 29.486, usercpu_time_millis_training: 1608.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9098, kappa: 0.8153, kb_relative_information_score: 31113.971, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9098, predictive_accuracy: 0.9099, prior_entropy: 0.9835, recall: 0.9099, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5305, scimark_benchmark: 1302.8218, usercpu_time_millis: 256.881, usercpu_time_millis_testing: 7.218, usercpu_time_millis_training: 249.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8959, kappa: 0.7867, kb_relative_information_score: 29191.9436, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8959, predictive_accuracy: 0.8961, prior_entropy: 0.9835, recall: 0.8961, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5682, scimark_benchmark: 1283.8955, usercpu_time_millis: 99.352, usercpu_time_millis_testing: 4.048, usercpu_time_millis_training: 95.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9148, kappa: 0.8255, kb_relative_information_score: 31895.7601, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9148, predictive_accuracy: 0.9148, prior_entropy: 0.9835, recall: 0.9148, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5169, scimark_benchmark: 1291.2645, usercpu_time_millis: 1367.225, usercpu_time_millis_testing: 30.148, usercpu_time_millis_training: 1337.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8441, kappa: 0.6796, kb_relative_information_score: 20975.935, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.845, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6951, scimark_benchmark: 1279.8553, usercpu_time_millis: 535.45, usercpu_time_millis_testing: 48.951, usercpu_time_millis_training: 486.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8853, kappa: 0.7649, kb_relative_information_score: 27849.4026, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8853, predictive_accuracy: 0.8855, prior_entropy: 0.9835, recall: 0.8855, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5939, scimark_benchmark: 1238.6548, usercpu_time_millis: 1109.026, usercpu_time_millis_testing: 55.003, usercpu_time_millis_training: 1054.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8884, kappa: 0.7712, kb_relative_information_score: 27847.9339, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8885, predictive_accuracy: 0.8886, prior_entropy: 0.9835, recall: 0.8886, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.5881, scimark_benchmark: 1270.6448, usercpu_time_millis: 904.898, usercpu_time_millis_testing: 47.854, usercpu_time_millis_training: 857.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8539, kappa: 0.7002, kb_relative_information_score: 24140.9121, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8543, predictive_accuracy: 0.8545, prior_entropy: 0.9835, recall: 0.8545, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6555, scimark_benchmark: 1265.8619, usercpu_time_millis: 675.295, usercpu_time_millis_testing: 54.312, usercpu_time_millis_training: 620.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8344, kappa: 0.6596, kb_relative_information_score: 20064.4573, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.836, predictive_accuracy: 0.8358, prior_entropy: 0.9835, recall: 0.8358, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7121, scimark_benchmark: 1305.4982, usercpu_time_millis: 510.153, usercpu_time_millis_testing: 50.216, usercpu_time_millis_training: 459.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8716, kappa: 0.7368, kb_relative_information_score: 26510.8741, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8715, predictive_accuracy: 0.8718, prior_entropy: 0.9835, recall: 0.8718, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6225, scimark_benchmark: 1285.0355, usercpu_time_millis: 253.779, usercpu_time_millis_testing: 12.305, usercpu_time_millis_training: 241.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8891, kappa: 0.7728, kb_relative_information_score: 28372.9865, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8891, predictive_accuracy: 0.8893, prior_entropy: 0.9835, recall: 0.8893, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5827, scimark_benchmark: 1300.9388, usercpu_time_millis: 1216.329, usercpu_time_millis_testing: 55.955, usercpu_time_millis_training: 1160.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8847, kappa: 0.7636, kb_relative_information_score: 27591.3404, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8848, predictive_accuracy: 0.885, prior_entropy: 0.9835, recall: 0.885, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.594, scimark_benchmark: 1288.0504, usercpu_time_millis: 898.871, usercpu_time_millis_testing: 49.236, usercpu_time_millis_training: 849.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8709, kappa: 0.7352, kb_relative_information_score: 25926.4537, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8711, predictive_accuracy: 0.8713, prior_entropy: 0.9835, recall: 0.8713, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6216, scimark_benchmark: 1306.7381, usercpu_time_millis: 228.541, usercpu_time_millis_testing: 15.53, usercpu_time_millis_training: 213.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8629, kappa: 0.7186, kb_relative_information_score: 25063.036, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8631, predictive_accuracy: 0.8634, prior_entropy: 0.9835, recall: 0.8634, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6376, scimark_benchmark: 1303.3404, usercpu_time_millis: 775.67, usercpu_time_millis_testing: 55.768, usercpu_time_millis_training: 719.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9077, kappa: 0.8109, kb_relative_information_score: 30990.2238, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9077, predictive_accuracy: 0.9078, prior_entropy: 0.9835, recall: 0.9078, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.534, scimark_benchmark: 1286.2444, usercpu_time_millis: 82.079, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 79.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8924, kappa: 0.7794, kb_relative_information_score: 28573.9836, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8924, predictive_accuracy: 0.8926, prior_entropy: 0.9835, recall: 0.8926, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5771, scimark_benchmark: 1286.8715, usercpu_time_millis: 1126.068, usercpu_time_millis_testing: 53.867, usercpu_time_millis_training: 1072.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8942, kappa: 0.7832, kb_relative_information_score: 29112.2383, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8943, prior_entropy: 0.9835, recall: 0.8943, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5701, scimark_benchmark: 1294.6358, usercpu_time_millis: 644.36, usercpu_time_millis_testing: 21.74, usercpu_time_millis_training: 622.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8449, kappa: 0.6813, kb_relative_information_score: 21018.3652, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8457, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.6949, scimark_benchmark: 1302.4447, usercpu_time_millis: 149.305, usercpu_time_millis_testing: 12.484, usercpu_time_millis_training: 136.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8442, kappa: 0.6803, kb_relative_information_score: 22254.9698, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8444, predictive_accuracy: 0.8448, prior_entropy: 0.9835, recall: 0.8448, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6933, scimark_benchmark: 1287.1224, usercpu_time_millis: 12.894, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 11.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.916, kappa: 0.828, kb_relative_information_score: 31794.2624, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 0.9835, recall: 0.9161, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5151, scimark_benchmark: 1279.3606, usercpu_time_millis: 282.869, usercpu_time_millis_testing: 7.584, usercpu_time_millis_training: 275.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9116, kappa: 0.819, kb_relative_information_score: 31734.606, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9116, predictive_accuracy: 0.9117, prior_entropy: 0.9835, recall: 0.9117, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5225, scimark_benchmark: 1303.7913, usercpu_time_millis: 227.083, usercpu_time_millis_testing: 5.483, usercpu_time_millis_training: 221.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8929, kappa: 0.7804, kb_relative_information_score: 28457.781, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.893, predictive_accuracy: 0.8931, prior_entropy: 0.9835, recall: 0.8931, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5769, scimark_benchmark: 1304.8697, usercpu_time_millis: 306.337, usercpu_time_millis_testing: 14.702, usercpu_time_millis_training: 291.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8694, kappa: 0.7321, kb_relative_information_score: 26232.9504, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8694, predictive_accuracy: 0.8697, prior_entropy: 0.9835, recall: 0.8697, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6248, scimark_benchmark: 1278.0528, usercpu_time_millis: 1429.178, usercpu_time_millis_testing: 89.035, usercpu_time_millis_training: 1340.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8785, kappa: 0.7508, kb_relative_information_score: 26971.1627, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8785, predictive_accuracy: 0.8787, prior_entropy: 0.9835, recall: 0.8787, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.6087, scimark_benchmark: 1286.4193, usercpu_time_millis: 455.747, usercpu_time_millis_testing: 25.742, usercpu_time_millis_training: 430.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9128, kappa: 0.8213, kb_relative_information_score: 32567.6369, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9128, predictive_accuracy: 0.9129, prior_entropy: 0.9835, recall: 0.9129, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5208, scimark_benchmark: 1281.5173, usercpu_time_millis: 59.868, usercpu_time_millis_testing: 2.309, usercpu_time_millis_training: 57.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.8771, kappa: 0.748, kb_relative_information_score: 26957.7955, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8771, predictive_accuracy: 0.8774, prior_entropy: 0.9835, recall: 0.8774, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6104, scimark_benchmark: 1301.2707, usercpu_time_millis: 1129.776, usercpu_time_millis_testing: 62.145, usercpu_time_millis_training: 1067.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9134, kappa: 0.8227, kb_relative_information_score: 31464.4707, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9134, predictive_accuracy: 0.9135, prior_entropy: 0.9835, recall: 0.9135, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5217, scimark_benchmark: 1299.9057, usercpu_time_millis: 762.675, usercpu_time_millis_testing: 22.668, usercpu_time_millis_training: 740.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8735, kappa: 0.7405, kb_relative_information_score: 26567.6834, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8735, predictive_accuracy: 0.8737, prior_entropy: 0.9835, recall: 0.8737, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6182, scimark_benchmark: 1287.5709, usercpu_time_millis: 701.451, usercpu_time_millis_testing: 40.4, usercpu_time_millis_training: 661.051,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs