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: 0.6949, f_measure: 0.7709, kappa: 0.0664, kb_relative_information_score: -2604.0434, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1297.226, usercpu_time_millis: 710.3, usercpu_time_millis_testing: 27.77, usercpu_time_millis_training: 682.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7682, kappa: 0.0545, kb_relative_information_score: -3352.595, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1242.9047, usercpu_time_millis: 47.38, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 45.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7551, kb_relative_information_score: -2466.4578, mean_absolute_error: 0.2661, 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: 0.9498, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1271.3142, usercpu_time_millis: 185.49, usercpu_time_millis_testing: 7, usercpu_time_millis_training: 178.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7551, kb_relative_information_score: -1955.0268, mean_absolute_error: 0.2689, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1252.0965, usercpu_time_millis: 104.24, usercpu_time_millis_testing: 7.41, usercpu_time_millis_training: 96.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -2470.4496, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7702, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1207.669, usercpu_time_millis: 311.54, usercpu_time_millis_testing: 9.95, usercpu_time_millis_training: 301.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7568, kappa: 0.007, kb_relative_information_score: -1786.439, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.825, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1289.303, usercpu_time_millis: 457.64, usercpu_time_millis_testing: 30.51, usercpu_time_millis_training: 427.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7551, kb_relative_information_score: -2026.241, mean_absolute_error: 0.269, 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: 0.9602, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1272.9607, usercpu_time_millis: 50.01, usercpu_time_millis_testing: 5.02, usercpu_time_millis_training: 44.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.7659, kappa: 0.0446, kb_relative_information_score: -1956.5416, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8029, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9592, scimark_benchmark: 1252.3587, usercpu_time_millis: 491.51, usercpu_time_millis_testing: 12.92, usercpu_time_millis_training: 478.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: -2420.8847, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1327.1052, usercpu_time_millis: 228.39, usercpu_time_millis_testing: 5.46, usercpu_time_millis_training: 222.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7612, kappa: 0.0252, kb_relative_information_score: -2330.3313, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1159.019, usercpu_time_millis: 1083.9, usercpu_time_millis_testing: 22.09, usercpu_time_millis_training: 1061.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.759, kappa: 0.0162, kb_relative_information_score: -2390.1131, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7932, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1216.8462, usercpu_time_millis: 750.97, usercpu_time_millis_testing: 16.99, usercpu_time_millis_training: 733.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7585, kappa: 0.0138, kb_relative_information_score: -1761.222, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8286, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1166.8968, usercpu_time_millis: 585.7, usercpu_time_millis_testing: 43.47, usercpu_time_millis_training: 542.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.7551, kb_relative_information_score: -1856.9527, mean_absolute_error: 0.2737, 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: 0.977, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9815, scimark_benchmark: 1223.6668, usercpu_time_millis: 41.39, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 39.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.762, kappa: 0.0285, kb_relative_information_score: -2324.2616, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.805, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1155.0484, usercpu_time_millis: 656.82, usercpu_time_millis_testing: 22.87, usercpu_time_millis_training: 633.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7591, kappa: 0.0163, kb_relative_information_score: -2415.2197, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1160.4792, usercpu_time_millis: 636.55, usercpu_time_millis_testing: 35.2, usercpu_time_millis_training: 601.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2466.0677, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1158.5109, usercpu_time_millis: 525.55, usercpu_time_millis_testing: 24.42, usercpu_time_millis_training: 501.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7556, kappa: 0.002, kb_relative_information_score: -2497.3407, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7658, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1158.3204, usercpu_time_millis: 285.29, usercpu_time_millis_testing: 8.28, usercpu_time_millis_training: 277.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7588, kappa: 0.0154, kb_relative_information_score: -2493.9249, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7869, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1157.1171, usercpu_time_millis: 187.52, usercpu_time_millis_testing: 3.47, usercpu_time_millis_training: 184.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7551, kb_relative_information_score: -1987.1797, mean_absolute_error: 0.2698, 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: 0.9633, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1145.9792, usercpu_time_millis: 166.43, usercpu_time_millis_testing: 13.68, usercpu_time_millis_training: 152.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7658, kappa: 0.0444, kb_relative_information_score: -2179.7239, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1881.1701, usercpu_time_millis: 712.396, usercpu_time_millis_testing: 13.834, usercpu_time_millis_training: 698.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7669, kappa: 0.049, kb_relative_information_score: -2131.25, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.96, scimark_benchmark: 1810.7051, usercpu_time_millis: 398.344, usercpu_time_millis_testing: 8.492, usercpu_time_millis_training: 389.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7553, kappa: 0.0006, kb_relative_information_score: -2503.6116, mean_absolute_error: 0.2651, 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: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1839.7911, usercpu_time_millis: 387.178, usercpu_time_millis_testing: 12.704, usercpu_time_millis_training: 374.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7712, kappa: 0.0674, kb_relative_information_score: -2413.0476, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1787.6752, usercpu_time_millis: 323.67, usercpu_time_millis_testing: 2.47, usercpu_time_millis_training: 321.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7551, kb_relative_information_score: -2495.8687, mean_absolute_error: 0.2658, 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: 0.949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9696, scimark_benchmark: 1840.7014, usercpu_time_millis: 327.807, usercpu_time_millis_testing: 12.67, usercpu_time_millis_training: 315.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7705, kappa: 0.0644, kb_relative_information_score: -2352.0487, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1718.5887, usercpu_time_millis: 329.142, usercpu_time_millis_testing: 2.785, usercpu_time_millis_training: 326.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7706, kappa: 0.0648, kb_relative_information_score: -2574.6145, mean_absolute_error: 0.2596, 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: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1778.8639, usercpu_time_millis: 239.25, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 237.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.7551, kb_relative_information_score: -2313.7567, mean_absolute_error: 0.2722, 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: 0.9717, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9791, scimark_benchmark: 1797.1197, usercpu_time_millis: 107.512, usercpu_time_millis_testing: 7.206, usercpu_time_millis_training: 100.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7551, kb_relative_information_score: -1930.2324, mean_absolute_error: 0.2687, 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: 0.9593, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1837.586, usercpu_time_millis: 87.707, usercpu_time_millis_testing: 3.681, usercpu_time_millis_training: 84.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3255.1859, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1880.5212, usercpu_time_millis: 100.924, usercpu_time_millis_testing: 4.331, usercpu_time_millis_training: 96.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7582, kappa: 0.0129, kb_relative_information_score: -2552.3869, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.783, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1792.4179, usercpu_time_millis: 37.3, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 36.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2407.563, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1836.7128, usercpu_time_millis: 469.558, usercpu_time_millis_testing: 18.325, usercpu_time_millis_training: 451.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7557, kappa: 0.0022, kb_relative_information_score: -2626.3331, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7665, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1797.1791, usercpu_time_millis: 231.222, usercpu_time_millis_testing: 14.146, usercpu_time_millis_training: 217.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7551, kb_relative_information_score: -2537.3343, mean_absolute_error: 0.2673, 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: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1841.7467, usercpu_time_millis: 191.116, usercpu_time_millis_testing: 11.467, usercpu_time_millis_training: 179.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.7551, kb_relative_information_score: -2502.1082, 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: 0.9855, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9898, scimark_benchmark: 1747.6779, usercpu_time_millis: 132.65, usercpu_time_millis_testing: 9.972, usercpu_time_millis_training: 122.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7666, kappa: 0.0479, kb_relative_information_score: -2412.4975, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1884.9727, usercpu_time_millis: 70.331, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 69.386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7774, kappa: 0.0981, kb_relative_information_score: -4445.3399, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7792, predictive_accuracy: 0.83, prior_entropy: 0.6541, recall: 0.83, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9778, scimark_benchmark: 1261.4245, usercpu_time_millis: 1762.34, usercpu_time_millis_testing: 27, usercpu_time_millis_training: 1735.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.7551, kb_relative_information_score: -2414.8814, 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: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 1271.046, usercpu_time_millis: 17.36, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 16.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.7551, kb_relative_information_score: -2141.2671, mean_absolute_error: 0.2756, 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: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1332.5684, usercpu_time_millis: 12.17, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 11.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7551, kb_relative_information_score: -1927.0111, mean_absolute_error: 0.2687, 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: 0.9592, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1323.0197, usercpu_time_millis: 516.09, usercpu_time_millis_testing: 22.86, usercpu_time_millis_training: 493.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.767, kappa: 0.0496, kb_relative_information_score: -2346.1274, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8014, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.959, scimark_benchmark: 1307.4484, usercpu_time_millis: 333.03, usercpu_time_millis_testing: 31.74, usercpu_time_millis_training: 301.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.4489, 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: 1238.6722, usercpu_time_millis: 36.47, usercpu_time_millis_testing: 5.59, usercpu_time_millis_training: 30.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7682, kappa: 0.0547, kb_relative_information_score: -2139.2399, mean_absolute_error: 0.2592, 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: 0.9254, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1208.3339, usercpu_time_millis: 617.54, usercpu_time_millis_testing: 9.62, usercpu_time_millis_training: 607.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7753, kappa: 0.0859, kb_relative_information_score: -3374.8038, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.793, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1342.9115, usercpu_time_millis: 1550.02, usercpu_time_millis_testing: 50.45, usercpu_time_millis_training: 1499.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7749, kappa: 0.0845, kb_relative_information_score: -2537.2489, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7903, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1280.4051, usercpu_time_millis: 1590.91, usercpu_time_millis_testing: 54.75, usercpu_time_millis_training: 1536.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.7798, kappa: 0.1161, kb_relative_information_score: -4318.3667, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7713, predictive_accuracy: 0.8234, prior_entropy: 0.6541, recall: 0.8234, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9912, scimark_benchmark: 1253.6479, usercpu_time_millis: 3370.99, usercpu_time_millis_testing: 57.32, usercpu_time_millis_training: 3313.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2440.9502, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1121.9941, usercpu_time_millis: 1063.4, usercpu_time_millis_testing: 34, usercpu_time_millis_training: 1029.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.7597, 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: 1207.8819, usercpu_time_millis: 34.42, usercpu_time_millis_testing: 5.11, usercpu_time_millis_training: 29.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7564, kappa: 0.0053, kb_relative_information_score: -2468.4862, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7761, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9698, scimark_benchmark: 1190.5156, usercpu_time_millis: 804.26, usercpu_time_millis_testing: 32.12, usercpu_time_millis_training: 772.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: -2467.2403, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9686, scimark_benchmark: 1290.3788, usercpu_time_millis: 760.3, usercpu_time_millis_testing: 31.63, usercpu_time_millis_training: 728.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7723, kappa: 0.0722, kb_relative_information_score: -2904.859, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1298.646, usercpu_time_millis: 2789.01, usercpu_time_millis_testing: 33.08, usercpu_time_millis_training: 2755.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.7551, kb_relative_information_score: -3977.2068, mean_absolute_error: 0.2762, 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: 0.986, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9922, scimark_benchmark: 1264.7785, usercpu_time_millis: 47.44, usercpu_time_millis_testing: 3.24, usercpu_time_millis_training: 44.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.7551, kb_relative_information_score: -3479.0704, mean_absolute_error: 0.2762, 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: 0.9861, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9915, scimark_benchmark: 1302.9146, usercpu_time_millis: 65.96, usercpu_time_millis_testing: 4.14, usercpu_time_millis_training: 61.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7557, kappa: 0.0025, kb_relative_information_score: -2476.0345, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7728, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1275.1981, usercpu_time_millis: 316.06, usercpu_time_millis_testing: 8.48, usercpu_time_millis_training: 307.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7761, kappa: 0.0891, kb_relative_information_score: -3235.4493, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7927, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1288.19, usercpu_time_millis: 1827.01, usercpu_time_millis_testing: 34.05, usercpu_time_millis_training: 1792.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7551, kb_relative_information_score: -1982.6649, mean_absolute_error: 0.27, 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: 0.9639, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1310.067, usercpu_time_millis: 220.01, usercpu_time_millis_testing: 14.39, usercpu_time_millis_training: 205.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.7551, kb_relative_information_score: -1976.4023, mean_absolute_error: 0.2756, 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: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1297.5271, usercpu_time_millis: 41.61, usercpu_time_millis_testing: 3.75, usercpu_time_millis_training: 37.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.769, kappa: 0.0581, kb_relative_information_score: -2371.6322, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604, scimark_benchmark: 1261.7699, usercpu_time_millis: 1883, usercpu_time_millis_testing: 37.43, usercpu_time_millis_training: 1845.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.7603, kappa: 0.0215, kb_relative_information_score: -2705.9077, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1270.3858, usercpu_time_millis: 343.61, usercpu_time_millis_testing: 27.55, usercpu_time_millis_training: 316.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.767, kappa: 0.0496, kb_relative_information_score: -2330.7572, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1283.8346, usercpu_time_millis: 1649.79, usercpu_time_millis_testing: 32.17, usercpu_time_millis_training: 1617.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.7551, kb_relative_information_score: -2812.1608, mean_absolute_error: 0.2737, 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: 0.977, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1240.9927, usercpu_time_millis: 228.01, usercpu_time_millis_testing: 14.5, usercpu_time_millis_training: 213.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -2448.4509, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8054, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1299.7777, usercpu_time_millis: 493.16, usercpu_time_millis_testing: 19.48, usercpu_time_millis_training: 473.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7696, kappa: 0.0604, kb_relative_information_score: -2337.1726, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1307.5988, usercpu_time_millis: 1471, usercpu_time_millis_testing: 28.93, usercpu_time_millis_training: 1442.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7758, kappa: 0.0877, kb_relative_information_score: -3053.1814, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1230.1632, usercpu_time_millis: 396.2, usercpu_time_millis_testing: 5.71, usercpu_time_millis_training: 390.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -1730.8943, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8259, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1305.2158, usercpu_time_millis: 362.89, usercpu_time_millis_testing: 19.82, usercpu_time_millis_training: 343.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7551, kb_relative_information_score: -2302.6694, 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: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 1325.5919, usercpu_time_millis: 107.97, usercpu_time_millis_testing: 8.03, usercpu_time_millis_training: 99.94,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -1.0642, 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: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1276.0885, usercpu_time_millis: 75.93, usercpu_time_millis_testing: 9.61, usercpu_time_millis_training: 66.32,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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From your own software

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

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