OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7691, kappa: 0.0584, kb_relative_information_score: -3661.889, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1315.4439, usercpu_time_millis: 2518.657, usercpu_time_millis_testing: 90.479, usercpu_time_millis_training: 2428.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7678, kappa: 0.0529, kb_relative_information_score: -2611.7537, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595, scimark_benchmark: 1305.7703, usercpu_time_millis: 730.356, usercpu_time_millis_testing: 35.265, usercpu_time_millis_training: 695.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.779, kappa: 0.1128, kb_relative_information_score: -4260.2419, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7697, predictive_accuracy: 0.8226, prior_entropy: 0.6541, recall: 0.8226, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.372, root_relative_squared_error: 0.994, scimark_benchmark: 1298.7712, usercpu_time_millis: 1557.418, usercpu_time_millis_testing: 15.529, usercpu_time_millis_training: 1541.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7787, kappa: 0.1055, kb_relative_information_score: -4449.1691, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7768, predictive_accuracy: 0.8284, prior_entropy: 0.6541, recall: 0.8284, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1296.2435, usercpu_time_millis: 668.844, usercpu_time_millis_testing: 7.311, usercpu_time_millis_training: 661.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7757, kappa: 0.0878, kb_relative_information_score: -3887.998, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7927, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1289.3173, usercpu_time_millis: 1606.603, usercpu_time_millis_testing: 21.611, usercpu_time_millis_training: 1584.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.78, kappa: 0.114, kb_relative_information_score: -4004.6113, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7744, predictive_accuracy: 0.8261, prior_entropy: 0.6541, recall: 0.8261, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9865, scimark_benchmark: 1288.2249, usercpu_time_millis: 1553.565, usercpu_time_millis_testing: 18.435, usercpu_time_millis_training: 1535.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7747, kappa: 0.0831, kb_relative_information_score: -3702.6261, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1307.6118, usercpu_time_millis: 1927.019, usercpu_time_millis_testing: 34.156, usercpu_time_millis_training: 1892.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.7772, kappa: 0.1114, kb_relative_information_score: -4875.9503, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.764, predictive_accuracy: 0.8168, prior_entropy: 0.6541, recall: 0.8168, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3763, root_relative_squared_error: 1.0056, scimark_benchmark: 1308.336, usercpu_time_millis: 566.997, usercpu_time_millis_testing: 4.827, usercpu_time_millis_training: 562.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.758, kappa: 0.012, kb_relative_information_score: -1974.2473, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8309, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1299.3695, usercpu_time_millis: 55.303, usercpu_time_millis_testing: 3.478, usercpu_time_millis_training: 51.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.7755, kappa: 0.0869, kb_relative_information_score: -4055.1964, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7908, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1308.3403, usercpu_time_millis: 145.859, usercpu_time_millis_testing: 3.99, usercpu_time_millis_training: 141.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.7765, kappa: 0.1128, kb_relative_information_score: -6242.8992, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7618, predictive_accuracy: 0.813, prior_entropy: 0.6541, recall: 0.813, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3826, root_relative_squared_error: 1.0224, scimark_benchmark: 1300.0421, usercpu_time_millis: 97.317, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 95.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7741, kappa: 0.0802, kb_relative_information_score: -3443.3831, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.795, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1304.7745, usercpu_time_millis: 247.221, usercpu_time_millis_testing: 7.839, usercpu_time_millis_training: 239.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7778, kappa: 0.0986, kb_relative_information_score: -4064.9712, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7838, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1311.0349, usercpu_time_millis: 2591.529, usercpu_time_millis_testing: 28.155, usercpu_time_millis_training: 2563.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7758, kappa: 0.0885, kb_relative_information_score: -3800.0822, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7885, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9709, scimark_benchmark: 1289.4855, usercpu_time_millis: 225.758, usercpu_time_millis_testing: 6.522, usercpu_time_millis_training: 219.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7584, kappa: 0.0133, kb_relative_information_score: -1760.3996, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8277, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1287.8046, usercpu_time_millis: 629.903, usercpu_time_millis_testing: 31.869, usercpu_time_millis_training: 598.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7685, kappa: 0.0559, kb_relative_information_score: -3783.3076, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1281.7456, usercpu_time_millis: 785.785, usercpu_time_millis_testing: 27.55, usercpu_time_millis_training: 758.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.7767, kappa: 0.0925, kb_relative_information_score: -3999.6709, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7897, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9715, scimark_benchmark: 1290.9445, usercpu_time_millis: 321.983, usercpu_time_millis_testing: 6.763, usercpu_time_millis_training: 315.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7585, kappa: 0.0137, kb_relative_information_score: -1770.2586, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8268, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1268.523, usercpu_time_millis: 214.691, usercpu_time_millis_testing: 11.393, usercpu_time_millis_training: 203.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.7788, kappa: 0.1125, kb_relative_information_score: -4371.6398, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7689, predictive_accuracy: 0.822, prior_entropy: 0.6541, recall: 0.822, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9952, scimark_benchmark: 1305.4086, usercpu_time_millis: 2842.148, usercpu_time_millis_testing: 24.892, usercpu_time_millis_training: 2817.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.7763, kappa: 0.1137, kb_relative_information_score: -6163.7946, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7613, predictive_accuracy: 0.8118, prior_entropy: 0.6541, recall: 0.8118, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.0272, scimark_benchmark: 1286.9739, usercpu_time_millis: 60.35, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 59.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.778, kappa: 0.0982, kb_relative_information_score: -3651.9458, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7893, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9313, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1281.6443, usercpu_time_millis: 542.513, usercpu_time_millis_testing: 9.499, usercpu_time_millis_training: 533.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: -1856.4058, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8228, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1283.1768, usercpu_time_millis: 870.118, usercpu_time_millis_testing: 59.039, usercpu_time_millis_training: 811.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5697, f_measure: 0.7513, kappa: 0.093, kb_relative_information_score: -7105.2661, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7461, predictive_accuracy: 0.757, prior_entropy: 0.6541, recall: 0.757, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.2332, scimark_benchmark: 1310.3758, usercpu_time_millis: 15.394, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 14.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.7743, kappa: 0.0815, kb_relative_information_score: -2408.5801, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1300.5956, usercpu_time_millis: 796.546, usercpu_time_millis_testing: 21.944, usercpu_time_millis_training: 774.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7696, kappa: 0.0605, kb_relative_information_score: -2610.5091, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595, scimark_benchmark: 1277.8246, usercpu_time_millis: 1014.987, usercpu_time_millis_testing: 42.017, usercpu_time_millis_training: 972.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7752, kappa: 0.0849, kb_relative_information_score: -3460.4118, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1296.9765, usercpu_time_millis: 2387.472, usercpu_time_millis_testing: 45.01, usercpu_time_millis_training: 2342.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.7788, kappa: 0.1134, kb_relative_information_score: -4391.8788, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7684, predictive_accuracy: 0.8213, prior_entropy: 0.6541, recall: 0.8213, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1275.8601, usercpu_time_millis: 2253.257, usercpu_time_millis_testing: 21.999, usercpu_time_millis_training: 2231.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -1769.8059, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8299, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1274.2183, usercpu_time_millis: 1250.795, usercpu_time_millis_testing: 71.834, usercpu_time_millis_training: 1178.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.778, kappa: 0.0986, kb_relative_information_score: -3995.7409, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7871, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.973, scimark_benchmark: 1276.9772, usercpu_time_millis: 1217.698, usercpu_time_millis_testing: 16.661, usercpu_time_millis_training: 1201.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -1755.3106, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8245, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1307.6972, usercpu_time_millis: 1168.707, usercpu_time_millis_testing: 62.727, usercpu_time_millis_training: 1105.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.7761, kappa: 0.0896, kb_relative_information_score: -3811.8489, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7922, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1286.6867, usercpu_time_millis: 318.866, usercpu_time_millis_testing: 7.972, usercpu_time_millis_training: 310.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7672, kappa: 0.0505, kb_relative_information_score: -2968.5772, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8029, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1307.0433, usercpu_time_millis: 111.656, usercpu_time_millis_testing: 5.993, usercpu_time_millis_training: 105.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7737, kappa: 0.0784, kb_relative_information_score: -3459.0836, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1282.0456, usercpu_time_millis: 1248.591, usercpu_time_millis_testing: 31.999, usercpu_time_millis_training: 1216.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -2037.1751, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8166, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1307.9361, usercpu_time_millis: 95.601, usercpu_time_millis_testing: 9.136, usercpu_time_millis_training: 86.465,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7623, kappa: 0.0305, kb_relative_information_score: -3283.4704, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7682, predictive_accuracy: 0.8305, prior_entropy: 0.6541, recall: 0.8305, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1284.2193, usercpu_time_millis: 12.598, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 11.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.7783, kappa: 0.1053, kb_relative_information_score: -4419.8647, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.774, predictive_accuracy: 0.8268, prior_entropy: 0.6541, recall: 0.8268, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9875, scimark_benchmark: 1298.4663, usercpu_time_millis: 189.11, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 186.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.7766, kappa: 0.0922, kb_relative_information_score: -3932.8806, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7882, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9741, scimark_benchmark: 1288.7003, usercpu_time_millis: 134.431, usercpu_time_millis_testing: 2.91, usercpu_time_millis_training: 131.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -1760.5498, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8271, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1280.6259, usercpu_time_millis: 1433.337, usercpu_time_millis_testing: 82.02, usercpu_time_millis_training: 1351.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7704, kappa: 0.0638, kb_relative_information_score: -2675.8946, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1284.4356, usercpu_time_millis: 473.93, usercpu_time_millis_testing: 17.381, usercpu_time_millis_training: 456.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -1816.9149, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8312, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1296.0666, usercpu_time_millis: 1581.603, usercpu_time_millis_testing: 96.182, usercpu_time_millis_training: 1485.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.778, kappa: 0.0997, kb_relative_information_score: -3743.7267, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7839, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1269.2162, usercpu_time_millis: 2264.991, usercpu_time_millis_testing: 25.014, usercpu_time_millis_training: 2239.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.769, kappa: 0.058, kb_relative_information_score: -3680.5793, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1259.9447, usercpu_time_millis: 3491.999, usercpu_time_millis_testing: 101.354, usercpu_time_millis_training: 3390.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7743, kappa: 0.0812, kb_relative_information_score: -3467.9442, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1277.4615, usercpu_time_millis: 2129.639, usercpu_time_millis_testing: 43.892, usercpu_time_millis_training: 2085.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.7783, kappa: 0.1011, kb_relative_information_score: -3829.0221, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9751, scimark_benchmark: 1262.6989, usercpu_time_millis: 721.808, usercpu_time_millis_testing: 11.087, usercpu_time_millis_training: 710.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -1905.5533, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8213, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1291.2806, usercpu_time_millis: 689.315, usercpu_time_millis_testing: 50.617, usercpu_time_millis_training: 638.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.7567, kappa: 0.0065, kb_relative_information_score: -1952.2946, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8267, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1289.7784, usercpu_time_millis: 648.82, usercpu_time_millis_testing: 47.356, usercpu_time_millis_training: 601.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7579, kappa: 0.0112, kb_relative_information_score: -1835.9079, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8293, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1287.8774, usercpu_time_millis: 450.187, usercpu_time_millis_testing: 27.986, usercpu_time_millis_training: 422.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7688, kappa: 0.0574, kb_relative_information_score: -3623.656, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9637, scimark_benchmark: 1268.3299, usercpu_time_millis: 3002.524, usercpu_time_millis_testing: 96.852, usercpu_time_millis_training: 2905.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7686, kappa: 0.0562, kb_relative_information_score: -3474.6418, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1265.4153, usercpu_time_millis: 1820.841, usercpu_time_millis_testing: 80.287, usercpu_time_millis_training: 1740.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1794.2987, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1284.5256, usercpu_time_millis: 125.582, usercpu_time_millis_testing: 6.047, usercpu_time_millis_training: 119.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7723, kappa: 0.0725, kb_relative_information_score: -3572.0877, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1246.4094, usercpu_time_millis: 1057.638, usercpu_time_millis_testing: 27.941, usercpu_time_millis_training: 1029.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7712, kappa: 0.0677, kb_relative_information_score: -3651.1681, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1264.865, usercpu_time_millis: 719.97, usercpu_time_millis_testing: 16.296, usercpu_time_millis_training: 703.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7704, kappa: 0.0641, kb_relative_information_score: -3433.6821, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1288.7922, usercpu_time_millis: 549.681, usercpu_time_millis_testing: 19.79, usercpu_time_millis_training: 529.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7773, kappa: 0.0952, kb_relative_information_score: -4009.5324, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7879, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9716, scimark_benchmark: 1267.8938, usercpu_time_millis: 871.994, usercpu_time_millis_testing: 12.059, usercpu_time_millis_training: 859.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7722, kappa: 0.0719, kb_relative_information_score: -3686.0648, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1298.4842, usercpu_time_millis: 1848.34, usercpu_time_millis_testing: 36.362, usercpu_time_millis_training: 1811.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7725, kappa: 0.073, kb_relative_information_score: -3599.4693, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1260.8786, usercpu_time_millis: 1253.813, usercpu_time_millis_testing: 29.971, usercpu_time_millis_training: 1223.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7559, kappa: 0.0034, kb_relative_information_score: -2045.3267, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8121, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1297.2753, usercpu_time_millis: 910.924, usercpu_time_millis_testing: 77.545, usercpu_time_millis_training: 833.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7793, kappa: 0.1051, kb_relative_information_score: -3668.3959, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7862, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1316.1659, usercpu_time_millis: 766.39, usercpu_time_millis_testing: 12.824, usercpu_time_millis_training: 753.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1779.7192, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1322.6614, usercpu_time_millis: 1087.72, usercpu_time_millis_testing: 63.411, usercpu_time_millis_training: 1024.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7728, kappa: 0.0745, kb_relative_information_score: -3450.2785, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1314.9088, usercpu_time_millis: 1127.141, usercpu_time_millis_testing: 30.597, usercpu_time_millis_training: 1096.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7721, kappa: 0.0714, kb_relative_information_score: -3633.4231, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1301.8705, usercpu_time_millis: 1133.6, usercpu_time_millis_testing: 25.595, usercpu_time_millis_training: 1108.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7746, kappa: 0.0824, kb_relative_information_score: -3560.4972, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1299.9792, usercpu_time_millis: 3685.938, usercpu_time_millis_testing: 54.764, usercpu_time_millis_training: 3631.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7764, kappa: 0.0921, kb_relative_information_score: -3951.2583, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7836, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.974, scimark_benchmark: 1295.7305, usercpu_time_millis: 421.947, usercpu_time_millis_testing: 7.663, usercpu_time_millis_training: 414.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7687, kappa: 0.0567, kb_relative_information_score: -3384.958, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1264.778, usercpu_time_millis: 763.534, usercpu_time_millis_testing: 36.38, usercpu_time_millis_training: 727.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -1846.9834, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8257, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1311.3043, usercpu_time_millis: 1455.657, usercpu_time_millis_testing: 96.738, usercpu_time_millis_training: 1358.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7709, kappa: 0.066, kb_relative_information_score: -2581.7876, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1302.4287, usercpu_time_millis: 1125.783, usercpu_time_millis_testing: 38.72, usercpu_time_millis_training: 1087.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.757, kappa: 0.0077, kb_relative_information_score: -1912.0716, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8244, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1315.0922, usercpu_time_millis: 1459.836, usercpu_time_millis_testing: 103.515, usercpu_time_millis_training: 1356.321,

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Leaderboard

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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