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: 0.7047, f_measure: 0.7699, kappa: 0.0614, kb_relative_information_score: -1683.888, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8077, predictive_accuracy: 0.8351, prior_entropy: 0.6541, recall: 0.8351, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9565, scimark_benchmark: 1269.175, usercpu_time_millis: 5429.801, usercpu_time_millis_testing: 96.662, usercpu_time_millis_training: 5333.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7614, kappa: 0.0259, kb_relative_information_score: -1842.6764, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9621, scimark_benchmark: 1292.104, usercpu_time_millis: 962.929, usercpu_time_millis_testing: 41.904, usercpu_time_millis_training: 921.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7734, kappa: 0.0768, kb_relative_information_score: -2379.7408, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.8356, prior_entropy: 0.6541, recall: 0.8356, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.9584, scimark_benchmark: 1268.6919, usercpu_time_millis: 2397.499, usercpu_time_millis_testing: 28.551, usercpu_time_millis_training: 2368.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7696, kappa: 0.0602, kb_relative_information_score: -1796.5614, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8107, predictive_accuracy: 0.8353, prior_entropy: 0.6541, recall: 0.8353, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9561, scimark_benchmark: 1293.7695, usercpu_time_millis: 2283.801, usercpu_time_millis_testing: 58.44, usercpu_time_millis_training: 2225.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7696, kappa: 0.0602, kb_relative_information_score: -1950.6215, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8076, predictive_accuracy: 0.8351, prior_entropy: 0.6541, recall: 0.8351, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9587, scimark_benchmark: 1271.8072, usercpu_time_millis: 137.579, usercpu_time_millis_testing: 3.036, usercpu_time_millis_training: 134.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.7573, kappa: 0.0092, kb_relative_information_score: -899.6195, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1293.2929, usercpu_time_millis: 9272.201, usercpu_time_millis_testing: 41.955, usercpu_time_millis_training: 9230.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7745, kappa: 0.0813, kb_relative_information_score: -2606.6482, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.9582, scimark_benchmark: 1247.2046, usercpu_time_millis: 3962.733, usercpu_time_millis_testing: 61.278, usercpu_time_millis_training: 3901.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7662, kappa: 0.0462, kb_relative_information_score: -1900.4648, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609, scimark_benchmark: 1292.8666, usercpu_time_millis: 4063.817, usercpu_time_millis_testing: 77.069, usercpu_time_millis_training: 3986.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7658, kappa: 0.0442, kb_relative_information_score: -2127.7563, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1240.9887, usercpu_time_millis: 2973.194, usercpu_time_millis_testing: 88.749, usercpu_time_millis_training: 2884.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7661, kappa: 0.0458, kb_relative_information_score: -1865.6483, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1292.3254, usercpu_time_millis: 814.235, usercpu_time_millis_testing: 15.514, usercpu_time_millis_training: 798.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7779, kappa: 0.0963, kb_relative_information_score: -2631.5142, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8028, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1290.3258, usercpu_time_millis: 2764.401, usercpu_time_millis_testing: 25.488, usercpu_time_millis_training: 2738.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.7711, kappa: 0.0667, kb_relative_information_score: -1948.6277, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8079, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9561, scimark_benchmark: 1287.108, usercpu_time_millis: 4098.957, usercpu_time_millis_testing: 92.233, usercpu_time_millis_training: 4006.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.7571, kappa: 0.0081, kb_relative_information_score: 113.116, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1296.5812, usercpu_time_millis: 3377.145, usercpu_time_millis_testing: 11.499, usercpu_time_millis_training: 3365.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.7818, kappa: 0.1161, kb_relative_information_score: -3844.5222, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7885, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1286.9162, usercpu_time_millis: 186.878, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 184.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7724, kappa: 0.0718, kb_relative_information_score: -2268.4163, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8149, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.9548, scimark_benchmark: 1257.6487, usercpu_time_millis: 775.208, usercpu_time_millis_testing: 37.448, usercpu_time_millis_training: 737.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7612, kappa: 0.0252, kb_relative_information_score: -1588.7745, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8311, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1277.7644, usercpu_time_millis: 1022.748, usercpu_time_millis_testing: 65.031, usercpu_time_millis_training: 957.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7691, kappa: 0.0583, kb_relative_information_score: -1822.8257, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1249.6061, usercpu_time_millis: 11021.44, usercpu_time_millis_testing: 104.233, usercpu_time_millis_training: 10917.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7758, kappa: 0.0871, kb_relative_information_score: -3832.1673, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.8356, prior_entropy: 0.6541, recall: 0.8356, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9618, scimark_benchmark: 1291.8276, usercpu_time_millis: 292.455, usercpu_time_millis_testing: 9.735, usercpu_time_millis_training: 282.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7737, kappa: 0.0777, kb_relative_information_score: -2151.5852, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8095, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9565, scimark_benchmark: 1246.9876, usercpu_time_millis: 4262.366, usercpu_time_millis_testing: 60.944, usercpu_time_millis_training: 4201.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7551, kb_relative_information_score: -1678.8548, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1293.475, usercpu_time_millis: 195.03, usercpu_time_millis_testing: 17.903, usercpu_time_millis_training: 177.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7682, kappa: 0.0547, kb_relative_information_score: -1837.0839, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9233, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.9586, scimark_benchmark: 1290.7755, usercpu_time_millis: 1801.343, usercpu_time_millis_testing: 26.213, usercpu_time_millis_training: 1775.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7654, kappa: 0.0427, kb_relative_information_score: -1864.4351, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8083, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1263.0972, usercpu_time_millis: 1659.042, usercpu_time_millis_testing: 58.104, usercpu_time_millis_training: 1600.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7667, kappa: 0.048, kb_relative_information_score: -2127.623, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1292.7255, usercpu_time_millis: 468.448, usercpu_time_millis_testing: 16.878, usercpu_time_millis_training: 451.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7838, kappa: 0.1248, kb_relative_information_score: -3674.772, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7921, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1248.9208, usercpu_time_millis: 3476.808, usercpu_time_millis_testing: 33.172, usercpu_time_millis_training: 3443.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.7612, kappa: 0.025, kb_relative_information_score: -1616.1643, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.833, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1280.9773, usercpu_time_millis: 295.462, usercpu_time_millis_testing: 18.277, usercpu_time_millis_training: 277.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.7679, kappa: 0.0531, kb_relative_information_score: -1630.1235, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8122, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.9556, scimark_benchmark: 1247.9339, usercpu_time_millis: 3290.736, usercpu_time_millis_testing: 105.609, usercpu_time_millis_training: 3185.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.7582, kappa: 0.0125, kb_relative_information_score: 131.5975, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8159, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9956, scimark_benchmark: 1279.033, usercpu_time_millis: 1992.496, usercpu_time_millis_testing: 11.058, usercpu_time_millis_training: 1981.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -1827.1018, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1279.5591, usercpu_time_millis: 99.96, usercpu_time_millis_testing: 7.1, usercpu_time_millis_training: 92.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7655, kappa: 0.0432, kb_relative_information_score: -1913.0739, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1289.4618, usercpu_time_millis: 316.521, usercpu_time_millis_testing: 10.058, usercpu_time_millis_training: 306.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7739, kappa: 0.0785, kb_relative_information_score: -2087.6752, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9567, scimark_benchmark: 1245.5301, usercpu_time_millis: 1820.229, usercpu_time_millis_testing: 25.482, usercpu_time_millis_training: 1794.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.768, kappa: 0.0534, kb_relative_information_score: -1624.0459, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8104, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9561, scimark_benchmark: 1224.3792, usercpu_time_millis: 147.618, usercpu_time_millis_testing: 3.687, usercpu_time_millis_training: 143.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7649, kappa: 0.0405, kb_relative_information_score: -2109.8596, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1227.8119, usercpu_time_millis: 35.175, usercpu_time_millis_testing: 1.671, usercpu_time_millis_training: 33.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.7563, kappa: 0.0051, kb_relative_information_score: -605.7709, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7531, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1292.668, usercpu_time_millis: 17220.816, usercpu_time_millis_testing: 50.54, usercpu_time_millis_training: 17170.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.766, kappa: 0.0452, kb_relative_information_score: -2218.9004, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8055, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1250.9002, usercpu_time_millis: 1140.994, usercpu_time_millis_testing: 39.273, usercpu_time_millis_training: 1101.721,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7668, kappa: 0.0486, kb_relative_information_score: -2275.1185, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8062, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9597, scimark_benchmark: 1242.2883, usercpu_time_millis: 383.31, usercpu_time_millis_testing: 17.907, usercpu_time_millis_training: 365.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.766, kappa: 0.0453, kb_relative_information_score: -1905.8005, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1252.7416, usercpu_time_millis: 1714.396, usercpu_time_millis_testing: 37.271, usercpu_time_millis_training: 1677.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.7736, kappa: 0.0771, kb_relative_information_score: -2428.6784, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8096, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.957, scimark_benchmark: 1252.1374, usercpu_time_millis: 1667.115, usercpu_time_millis_testing: 32.707, usercpu_time_millis_training: 1634.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7667, kappa: 0.0481, kb_relative_information_score: -1881.1005, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609, scimark_benchmark: 1254.7159, usercpu_time_millis: 1624.258, usercpu_time_millis_testing: 19.832, usercpu_time_millis_training: 1604.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7682, kappa: 0.0546, kb_relative_information_score: -1938.8084, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9594, scimark_benchmark: 1254.9325, usercpu_time_millis: 1480.156, usercpu_time_millis_testing: 19.926, usercpu_time_millis_training: 1460.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7748, kappa: 0.0824, kb_relative_information_score: -2683.3682, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8084, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1241.4861, usercpu_time_millis: 486.621, usercpu_time_millis_testing: 9.496, usercpu_time_millis_training: 477.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -1778.4329, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7925, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1258.6023, usercpu_time_millis: 799.655, usercpu_time_millis_testing: 32.403, usercpu_time_millis_training: 767.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7563, kappa: 0.005, kb_relative_information_score: -1636.1795, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8392, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1248.9825, usercpu_time_millis: 689.638, usercpu_time_millis_testing: 40.422, usercpu_time_millis_training: 649.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.7559, kappa: 0.0031, kb_relative_information_score: 85.2043, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8286, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1313.2345, usercpu_time_millis: 2251.693, usercpu_time_millis_testing: 12.351, usercpu_time_millis_training: 2239.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7655, kappa: 0.0431, kb_relative_information_score: -1822.7256, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1259.3762, usercpu_time_millis: 587.413, usercpu_time_millis_testing: 14.622, usercpu_time_millis_training: 572.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.7716, kappa: 0.069, kb_relative_information_score: -1774.9706, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8077, predictive_accuracy: 0.8355, prior_entropy: 0.6541, recall: 0.8355, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.358, root_relative_squared_error: 0.9566, scimark_benchmark: 1247.9304, usercpu_time_millis: 6096.844, usercpu_time_millis_testing: 89.903, usercpu_time_millis_training: 6006.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7563, kappa: 0.0048, kb_relative_information_score: -1604.8202, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8383, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1232.7559, usercpu_time_millis: 529.337, usercpu_time_millis_testing: 28.323, usercpu_time_millis_training: 501.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: 145.9906, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8175, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9968, scimark_benchmark: 1308.9198, usercpu_time_millis: 7151.809, usercpu_time_millis_testing: 24.078, usercpu_time_millis_training: 7127.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7804, kappa: 0.1081, kb_relative_information_score: -3251.7968, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1268.5229, usercpu_time_millis: 2534.066, usercpu_time_millis_testing: 24.98, usercpu_time_millis_training: 2509.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7668, kappa: 0.0487, kb_relative_information_score: -1832.8134, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1260.9557, usercpu_time_millis: 2970.674, usercpu_time_millis_testing: 37.68, usercpu_time_millis_training: 2932.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.7574, kappa: 0.0093, kb_relative_information_score: -995.7586, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7782, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1300.2516, usercpu_time_millis: 17830.037, usercpu_time_millis_testing: 48.873, usercpu_time_millis_training: 17781.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7018, f_measure: 0.7551, kb_relative_information_score: -1634.6729, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1261.6222, usercpu_time_millis: 1719.925, usercpu_time_millis_testing: 91.703, usercpu_time_millis_training: 1628.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7761, kappa: 0.088, kb_relative_information_score: -1751.6474, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8369, prior_entropy: 0.6541, recall: 0.8369, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.9549, scimark_benchmark: 1234.6863, usercpu_time_millis: 1552.377, usercpu_time_millis_testing: 42.434, usercpu_time_millis_training: 1509.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.769, kappa: 0.0579, kb_relative_information_score: -1931.3059, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1259.7216, usercpu_time_millis: 4338.465, usercpu_time_millis_testing: 40.415, usercpu_time_millis_training: 4298.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7717, kappa: 0.0695, kb_relative_information_score: -2035.9326, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.8353, prior_entropy: 0.6541, recall: 0.8353, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9587, scimark_benchmark: 1250.937, usercpu_time_millis: 2043.781, usercpu_time_millis_testing: 17.142, usercpu_time_millis_training: 2026.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7744, kappa: 0.0807, kb_relative_information_score: -2300.1937, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9571, scimark_benchmark: 1250.4738, usercpu_time_millis: 688.885, usercpu_time_millis_testing: 15.153, usercpu_time_millis_training: 673.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7763, kappa: 0.0892, kb_relative_information_score: -2171.3961, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8022, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595, scimark_benchmark: 1256.7766, usercpu_time_millis: 2464.966, usercpu_time_millis_testing: 26.332, usercpu_time_millis_training: 2438.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: 97.0165, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8142, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1282.9909, usercpu_time_millis: 4844.8, usercpu_time_millis_testing: 11.707, usercpu_time_millis_training: 4833.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7701, kappa: 0.0628, kb_relative_information_score: -1956.881, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.961, scimark_benchmark: 1237.5055, usercpu_time_millis: 2615.555, usercpu_time_millis_testing: 24.57, usercpu_time_millis_training: 2590.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7825, kappa: 0.1182, kb_relative_information_score: -3550.0934, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7939, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1241.6283, usercpu_time_millis: 1739.201, usercpu_time_millis_testing: 22.932, usercpu_time_millis_training: 1716.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -1784.1521, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1256.127, usercpu_time_millis: 1670.329, usercpu_time_millis_testing: 72.832, usercpu_time_millis_training: 1597.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7808, kappa: 0.1095, kb_relative_information_score: -2736.3876, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.836, prior_entropy: 0.6541, recall: 0.836, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1243.0519, usercpu_time_millis: 570.558, usercpu_time_millis_testing: 12.461, usercpu_time_millis_training: 558.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7706, kappa: 0.0673, kb_relative_information_score: -2770.7716, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7723, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9783, scimark_benchmark: 1274.6214, usercpu_time_millis: 5179.724, usercpu_time_millis_testing: 44.067, usercpu_time_millis_training: 5135.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -1566.8745, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8181, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1238.6772, usercpu_time_millis: 1671.061, usercpu_time_millis_testing: 80.503, usercpu_time_millis_training: 1590.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7667, kappa: 0.0483, kb_relative_information_score: -1929.8072, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1221.2995, usercpu_time_millis: 3304.36, usercpu_time_millis_testing: 66.296, usercpu_time_millis_training: 3238.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7659, kappa: 0.0447, kb_relative_information_score: -1847.5567, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1224.705, usercpu_time_millis: 1451.275, usercpu_time_millis_testing: 40.337, usercpu_time_millis_training: 1410.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7551, kb_relative_information_score: -1810.8235, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 1246.0923, usercpu_time_millis: 781.955, usercpu_time_millis_testing: 69.887, usercpu_time_millis_training: 712.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7665, kappa: 0.0472, kb_relative_information_score: -1682.7686, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9575, scimark_benchmark: 1263.8161, usercpu_time_millis: 3075.815, usercpu_time_millis_testing: 112.111, usercpu_time_millis_training: 2963.704,

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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