Task
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: 0.6946, f_measure: 0.7696, kappa: 0.0605, kb_relative_information_score: -3323.8073, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1293.5327, usercpu_time_millis: 570.02, usercpu_time_millis_testing: 26.75, usercpu_time_millis_training: 543.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -11.4853, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1231.2381, usercpu_time_millis: 144.06, usercpu_time_millis_testing: 11.29, usercpu_time_millis_training: 132.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.4796, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1288.5331, usercpu_time_millis: 44.89, usercpu_time_millis_testing: 4.18, usercpu_time_millis_training: 40.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7787, kappa: 0.1034, kb_relative_information_score: -4108.5142, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7824, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.976, scimark_benchmark: 1250.1788, usercpu_time_millis: 2366.33, usercpu_time_millis_testing: 36.65, usercpu_time_millis_training: 2329.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2260.2968, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1258.8462, usercpu_time_millis: 437.07, usercpu_time_millis_testing: 18.19, usercpu_time_millis_training: 418.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.7551, kb_relative_information_score: -3961.1716, mean_absolute_error: 0.2728, 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: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9855, scimark_benchmark: 1170.1894, usercpu_time_millis: 63.09, usercpu_time_millis_testing: 3.39, usercpu_time_millis_training: 59.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.7786, kappa: 0.1016, kb_relative_information_score: -3695.2288, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7878, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1270.3964, usercpu_time_millis: 1406.35, usercpu_time_millis_testing: 26.71, usercpu_time_millis_training: 1379.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7571, kappa: 0.0081, kb_relative_information_score: -3116.8694, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1309.48, usercpu_time_millis: 350.26, usercpu_time_millis_testing: 18.15, usercpu_time_millis_training: 332.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7754, kappa: 0.0866, kb_relative_information_score: -2743.5949, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7904, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1281.0105, usercpu_time_millis: 51.36, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 49.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7596, kappa: 0.0185, kb_relative_information_score: -2554.0462, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7798, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1292.1832, usercpu_time_millis: 465.95, usercpu_time_millis_testing: 6.74, usercpu_time_millis_training: 459.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -20.9603, mean_absolute_error: 0.2801, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1384.1437, usercpu_time_millis: 58.74, usercpu_time_millis_testing: 3.91, usercpu_time_millis_training: 54.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7776, kappa: 0.0965, kb_relative_information_score: -3437.065, mean_absolute_error: 0.2602, 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: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1264.35, usercpu_time_millis: 1905.85, usercpu_time_millis_testing: 42.34, usercpu_time_millis_training: 1863.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -2943.5513, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8104, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1312.541, usercpu_time_millis: 150.44, usercpu_time_millis_testing: 10.69, usercpu_time_millis_training: 139.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7764, kappa: 0.0918, kb_relative_information_score: -4483.6194, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7858, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1293.2297, usercpu_time_millis: 59.42, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 58.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2566.7345, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7753, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1256.1413, usercpu_time_millis: 360.12, usercpu_time_millis_testing: 6.89, usercpu_time_millis_training: 353.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7653, kappa: 0.0422, kb_relative_information_score: -2327.1855, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1333.4496, usercpu_time_millis: 1652.06, usercpu_time_millis_testing: 27.13, usercpu_time_millis_training: 1624.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7551, kb_relative_information_score: -2914.6623, mean_absolute_error: 0.2707, 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: 0.9664, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1280.4574, usercpu_time_millis: 218.51, usercpu_time_millis_testing: 12.82, usercpu_time_millis_training: 205.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7557, kappa: 0.0025, kb_relative_information_score: -2402.7949, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7836, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1297.1219, usercpu_time_millis: 546.3, usercpu_time_millis_testing: 23.01, usercpu_time_millis_training: 523.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7711, kappa: 0.0669, kb_relative_information_score: -3834.0209, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1318.2369, usercpu_time_millis: 459.49, usercpu_time_millis_testing: 19.21, usercpu_time_millis_training: 440.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7551, kb_relative_information_score: -2005.1268, mean_absolute_error: 0.2757, 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: 0.9842, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1269.3065, usercpu_time_millis: 76.25, usercpu_time_millis_testing: 6.2, usercpu_time_millis_training: 70.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.7551, kb_relative_information_score: -4128.2342, mean_absolute_error: 0.2731, 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: 0.9749, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9874, scimark_benchmark: 1271.2952, usercpu_time_millis: 150.25, usercpu_time_millis_testing: 7.86, usercpu_time_millis_training: 142.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -52.5477, mean_absolute_error: 0.2801, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1307.9058, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -7.7775, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1282.2444, usercpu_time_millis: 67.28, usercpu_time_millis_testing: 5.96, usercpu_time_millis_training: 61.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.7558, kappa: 0.003, kb_relative_information_score: -2996.2119, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.79, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9731, scimark_benchmark: 1365.6934, usercpu_time_millis: 156.23, usercpu_time_millis_testing: 4.98, usercpu_time_millis_training: 151.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7617, kappa: 0.027, kb_relative_information_score: -2644.6952, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1293.9436, usercpu_time_millis: 467.09, usercpu_time_millis_testing: 9.37, usercpu_time_millis_training: 457.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.7551, kb_relative_information_score: -3155.7047, mean_absolute_error: 0.2761, 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: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9905, scimark_benchmark: 1318.7001, usercpu_time_millis: 14.99, usercpu_time_millis_testing: 1.04, usercpu_time_millis_training: 13.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.7553, kappa: 0.0006, kb_relative_information_score: -3183.9129, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7528, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1320.8445, usercpu_time_millis: 211.92, usercpu_time_millis_testing: 6.86, usercpu_time_millis_training: 205.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7746, kappa: 0.0823, kb_relative_information_score: -3416.4144, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1321.4199, usercpu_time_millis: 530.22, usercpu_time_millis_testing: 19.14, usercpu_time_millis_training: 511.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.7574, kappa: 0.0096, kb_relative_information_score: -2418.8712, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1279.258, usercpu_time_millis: 694.36, usercpu_time_millis_testing: 26.61, usercpu_time_millis_training: 667.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.7551, kb_relative_information_score: -2087.7314, mean_absolute_error: 0.2755, 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: 0.9837, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1304.8633, usercpu_time_millis: 33.44, usercpu_time_millis_testing: 1.76, usercpu_time_millis_training: 31.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.756, kappa: 0.0037, kb_relative_information_score: -2230.3533, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1256.6719, usercpu_time_millis: 530.29, usercpu_time_millis_testing: 22.76, usercpu_time_millis_training: 507.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7576, kappa: 0.01, kb_relative_information_score: -1857.048, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8263, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1287.9645, usercpu_time_millis: 401.9, usercpu_time_millis_testing: 29.44, usercpu_time_millis_training: 372.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.9399, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1291.3335, usercpu_time_millis: 50.26, usercpu_time_millis_testing: 4.38, usercpu_time_millis_training: 45.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -25.0363, mean_absolute_error: 0.2802, 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: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1307.4888, usercpu_time_millis: 110.21, usercpu_time_millis_testing: 7.28, usercpu_time_millis_training: 102.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -13.5917, mean_absolute_error: 0.2801, 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: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1329.0655, usercpu_time_millis: 25.35, usercpu_time_millis_testing: 2.99, usercpu_time_millis_training: 22.36,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -19.2801, mean_absolute_error: 0.2801, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1811.486, usercpu_time_millis: 61.24, usercpu_time_millis_testing: 7.377, usercpu_time_millis_training: 53.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7725, kappa: 0.0739, kb_relative_information_score: -3865.8528, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.785, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9779, scimark_benchmark: 1764.2296, usercpu_time_millis: 6.859, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 6.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.7641, kappa: 0.037, kb_relative_information_score: -2198.7444, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8043, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1740.2914, usercpu_time_millis: 533.96, usercpu_time_millis_testing: 15.788, usercpu_time_millis_training: 518.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7598, kappa: 0.0195, kb_relative_information_score: -2455.0211, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7927, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1822.8291, usercpu_time_millis: 59.756, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 58.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7602, kappa: 0.021, kb_relative_information_score: -2459.6136, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1740.7973, usercpu_time_millis: 1676.226, usercpu_time_millis_testing: 18.972, usercpu_time_millis_training: 1657.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7593, kappa: 0.0173, kb_relative_information_score: -2551.0085, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7877, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1710.2447, usercpu_time_millis: 856.75, usercpu_time_millis_testing: 15.305, usercpu_time_millis_training: 841.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7598, kappa: 0.0195, kb_relative_information_score: -2474.6674, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1805.943, usercpu_time_millis: 182.67, usercpu_time_millis_testing: 5.794, usercpu_time_millis_training: 176.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7566, kappa: 0.0061, kb_relative_information_score: -2461.0696, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7916, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1803.4653, usercpu_time_millis: 49.326, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 48.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.7551, kb_relative_information_score: -3547.5896, mean_absolute_error: 0.2725, 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: 0.9729, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1494.3309, usercpu_time_millis: 29.522, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 28.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7672, kappa: 0.0505, kb_relative_information_score: -2278.6497, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1866.9375, usercpu_time_millis: 610.541, usercpu_time_millis_testing: 11.523, usercpu_time_millis_training: 599.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2486.5323, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1734.8335, usercpu_time_millis: 317.701, usercpu_time_millis_testing: 6.732, usercpu_time_millis_training: 310.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.7594, kappa: 0.0176, kb_relative_information_score: -2814.5339, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7723, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1747.0636, usercpu_time_millis: 911.293, usercpu_time_millis_testing: 15.184, usercpu_time_millis_training: 896.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.7764, kappa: 0.0909, kb_relative_information_score: -4083.1916, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7898, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1802.1497, usercpu_time_millis: 231.913, usercpu_time_millis_testing: 3.374, usercpu_time_millis_training: 228.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7551, kb_relative_information_score: -1854.6184, mean_absolute_error: 0.2731, 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: 0.975, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9806, scimark_benchmark: 1808.5699, usercpu_time_millis: 170.622, usercpu_time_millis_testing: 13.856, usercpu_time_millis_training: 156.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7692, kappa: 0.0589, kb_relative_information_score: -2359.2648, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1825.6967, usercpu_time_millis: 742.742, usercpu_time_millis_testing: 8.289, usercpu_time_millis_training: 734.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7694, kappa: 0.0597, kb_relative_information_score: -2380.4291, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1847.3406, usercpu_time_millis: 191.268, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 189.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7551, kb_relative_information_score: -3098.7178, mean_absolute_error: 0.2686, 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: 0.9589, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1829.632, usercpu_time_millis: 223.084, usercpu_time_millis_testing: 11.652, usercpu_time_millis_training: 211.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.7551, kb_relative_information_score: -2169.7676, mean_absolute_error: 0.276, 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: 0.9852, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9888, scimark_benchmark: 1803.5711, usercpu_time_millis: 71.766, usercpu_time_millis_testing: 7.351, usercpu_time_millis_training: 64.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.76, kappa: 0.0201, kb_relative_information_score: -2473.9148, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7928, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1743.262, usercpu_time_millis: 1139.433, usercpu_time_millis_testing: 18.135, usercpu_time_millis_training: 1121.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7551, kb_relative_information_score: -2535.4651, mean_absolute_error: 0.2665, 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: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9709, scimark_benchmark: 2008.7717, usercpu_time_millis: 206.131, usercpu_time_millis_testing: 8.348, usercpu_time_millis_training: 197.783,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7551, kb_relative_information_score: -2369.358, mean_absolute_error: 0.2714, 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: 0.969, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 2002.4849, usercpu_time_millis: 61.1, usercpu_time_millis_testing: 4.599, usercpu_time_millis_training: 56.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7722, kappa: 0.0717, kb_relative_information_score: -3680.8726, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1838.217, usercpu_time_millis: 79.108, usercpu_time_millis_testing: 2.837, usercpu_time_millis_training: 76.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7551, kb_relative_information_score: -1643.1441, mean_absolute_error: 0.275, 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: 0.9817, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9852, scimark_benchmark: 1836.6415, usercpu_time_millis: 61.884, usercpu_time_millis_testing: 7.051, usercpu_time_millis_training: 54.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7589, kappa: 0.0158, kb_relative_information_score: -2457.1759, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1846.5018, usercpu_time_millis: 58.671, usercpu_time_millis_testing: 2.288, usercpu_time_millis_training: 56.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7609, kappa: 0.024, kb_relative_information_score: -2637.588, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8048, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9685, scimark_benchmark: 1843.7454, usercpu_time_millis: 54.398, usercpu_time_millis_testing: 2.357, usercpu_time_millis_training: 52.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 2.4008, mean_absolute_error: 0.2801, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1763.8626, usercpu_time_millis: 53.143, usercpu_time_millis_testing: 9.108, usercpu_time_millis_training: 44.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -10.497, mean_absolute_error: 0.2801, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1842.1882, usercpu_time_millis: 7.898, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 6.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -48.6529, mean_absolute_error: 0.2801, 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: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1736.6442, usercpu_time_millis: 3.305, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7603, kappa: 0.0213, kb_relative_information_score: -2409.2151, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9645, scimark_benchmark: 1832.7022, usercpu_time_millis: 129.865, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 127.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2463.8753, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1739.2849, usercpu_time_millis: 279.408, usercpu_time_millis_testing: 8.033, usercpu_time_millis_training: 271.375,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs