OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, average_cost: 16.2384, f_measure: 0.7678, kappa: 0.0531, kb_relative_information_score: -2673.8105, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1004.2446, total_cost: 648690, usercpu_time_millis: 1733.32, usercpu_time_millis_testing: 37.658, usercpu_time_millis_training: 1695.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -4.1126, 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: 1070.4623, total_cost: 672800, usercpu_time_millis: 55.653, usercpu_time_millis_testing: 6.977, usercpu_time_millis_training: 48.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2.9776, 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: 1106.2738, total_cost: 672800, usercpu_time_millis: 26.913, usercpu_time_millis_testing: 4.702, usercpu_time_millis_training: 22.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, average_cost: 16.7716, f_measure: 0.7566, kappa: 0.0062, kb_relative_information_score: -2641.17, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.779, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9701, scimark_benchmark: 1039.0847, total_cost: 669990, usercpu_time_millis: 90.38, usercpu_time_millis_testing: 2.592, usercpu_time_millis_training: 87.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, average_cost: 15.8516, f_measure: 0.7725, kappa: 0.0762, kb_relative_information_score: -3454.3672, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7731, predictive_accuracy: 0.829, prior_entropy: 0.6541, recall: 0.829, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9838, scimark_benchmark: 987.1586, total_cost: 633240, usercpu_time_millis: 555.413, usercpu_time_millis_testing: 2.786, usercpu_time_millis_training: 552.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1754.2053, mean_absolute_error: 0.2739, 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: 0.9779, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 878.6105, total_cost: 672800, usercpu_time_millis: 188.716, usercpu_time_millis_testing: 18.78, usercpu_time_millis_training: 169.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, average_cost: 15.5823, f_measure: 0.7778, kappa: 0.099, kb_relative_information_score: -3544.057, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7831, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9716, scimark_benchmark: 1034.1175, total_cost: 622480, usercpu_time_millis: 1304.899, usercpu_time_millis_testing: 23.916, usercpu_time_millis_training: 1280.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, average_cost: 16.8396, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -1818.8429, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 888.5821, total_cost: 672710, usercpu_time_millis: 110.496, usercpu_time_millis_testing: 4.568, usercpu_time_millis_training: 105.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, average_cost: 16.4153, f_measure: 0.7645, kappa: 0.0389, kb_relative_information_score: -2400.5194, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8081, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1043.8112, total_cost: 655760, usercpu_time_millis: 207.368, usercpu_time_millis_testing: 12.435, usercpu_time_millis_training: 194.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, average_cost: 16.7072, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2499.1023, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7819, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1019.7966, total_cost: 667420, usercpu_time_millis: 587.778, usercpu_time_millis_testing: 11.51, usercpu_time_millis_training: 576.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, average_cost: 15.7302, f_measure: 0.7757, kappa: 0.0888, kb_relative_information_score: -3272.2914, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7831, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1067.8847, total_cost: 628390, usercpu_time_millis: 3952.596, usercpu_time_millis_testing: 23.98, usercpu_time_millis_training: 3928.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, average_cost: 16.2163, f_measure: 0.7684, kappa: 0.0554, kb_relative_information_score: -2178.8432, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9595, scimark_benchmark: 959.7218, total_cost: 647810, usercpu_time_millis: 1009.22, usercpu_time_millis_testing: 23.437, usercpu_time_millis_training: 985.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1919.8706, 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: 0.9718, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9783, scimark_benchmark: 1058.1121, total_cost: 672800, usercpu_time_millis: 279.305, usercpu_time_millis_testing: 16.752, usercpu_time_millis_training: 262.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 16.6361, f_measure: 0.7594, kappa: 0.0178, kb_relative_information_score: -2560.1242, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7784, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 955.5075, total_cost: 664580, usercpu_time_millis: 3300.902, usercpu_time_millis_testing: 35.898, usercpu_time_millis_training: 3265.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, average_cost: 16.1532, f_measure: 0.7695, kappa: 0.06, kb_relative_information_score: -2222.1973, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1098.8921, total_cost: 645290, usercpu_time_millis: 2462.408, usercpu_time_millis_testing: 26.076, usercpu_time_millis_training: 2436.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, average_cost: 16.172, f_measure: 0.7691, kappa: 0.0585, kb_relative_information_score: -3001.8237, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1105.4346, total_cost: 646040, usercpu_time_millis: 826.909, usercpu_time_millis_testing: 14.114, usercpu_time_millis_training: 812.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, average_cost: 15.4786, f_measure: 0.7788, kappa: 0.1043, kb_relative_information_score: -3898.0321, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.83, prior_entropy: 0.6541, recall: 0.83, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1004.2745, total_cost: 618340, usercpu_time_millis: 4105.663, usercpu_time_millis_testing: 83.31, usercpu_time_millis_training: 4022.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1459.4227, 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: 0.9857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.988, scimark_benchmark: 1087.7324, total_cost: 672800, usercpu_time_millis: 33.891, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 31.409,
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: 0.689, average_cost: 16.6702, f_measure: 0.759, kappa: 0.0159, kb_relative_information_score: -2435.9128, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8071, 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: 954.9922, total_cost: 665940, usercpu_time_millis: 554.697, usercpu_time_millis_testing: 25.23, usercpu_time_millis_training: 529.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, average_cost: 16.7207, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2362.3255, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, 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: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1041.2108, total_cost: 667960, usercpu_time_millis: 267.343, usercpu_time_millis_testing: 9.922, usercpu_time_millis_training: 257.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, average_cost: 15.4413, f_measure: 0.7795, kappa: 0.1074, kb_relative_information_score: -3994.9724, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7814, predictive_accuracy: 0.8304, prior_entropy: 0.6541, recall: 0.8304, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9778, scimark_benchmark: 1088.9855, total_cost: 616850, usercpu_time_millis: 5687.682, usercpu_time_millis_testing: 52.614, usercpu_time_millis_training: 5635.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, average_cost: 15.94, f_measure: 0.7735, kappa: 0.0773, kb_relative_information_score: -2550.4888, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1141.5924, total_cost: 636770, usercpu_time_millis: 1425.892, usercpu_time_millis_testing: 49.629, usercpu_time_millis_training: 1376.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, average_cost: 15.9072, f_measure: 0.7738, kappa: 0.079, kb_relative_information_score: -2719.9426, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1043.8884, total_cost: 635460, usercpu_time_millis: 7052.341, usercpu_time_millis_testing: 43.509, usercpu_time_millis_training: 7008.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, average_cost: 15.3825, f_measure: 0.779, kappa: 0.1076, kb_relative_information_score: -4218.7015, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7759, predictive_accuracy: 0.8277, prior_entropy: 0.6541, recall: 0.8277, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 997.1069, total_cost: 614500, usercpu_time_millis: 1607.001, usercpu_time_millis_testing: 22.323, usercpu_time_millis_training: 1584.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, average_cost: 15.6549, f_measure: 0.7775, kappa: 0.0963, kb_relative_information_score: -3860.7241, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7887, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1037.8794, total_cost: 625380, usercpu_time_millis: 5365.678, usercpu_time_millis_testing: 66.58, usercpu_time_millis_training: 5299.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2625.6052, mean_absolute_error: 0.2715, 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: 0.9694, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9785, scimark_benchmark: 948.5287, total_cost: 672800, usercpu_time_millis: 118.045, usercpu_time_millis_testing: 7.165, usercpu_time_millis_training: 110.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, average_cost: 16.0882, f_measure: 0.7708, kappa: 0.0657, kb_relative_information_score: -3221.7243, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 998.6836, total_cost: 642690, usercpu_time_millis: 3461.739, usercpu_time_millis_testing: 45.013, usercpu_time_millis_training: 3416.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, average_cost: 16.6191, f_measure: 0.7598, kappa: 0.0194, kb_relative_information_score: -2517.8825, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7807, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1085.3806, total_cost: 663900, usercpu_time_millis: 452.262, usercpu_time_millis_testing: 4.451, usercpu_time_millis_training: 447.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, average_cost: 16.8224, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -2488.5738, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7638, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1010.2424, total_cost: 672020, usercpu_time_millis: 565.727, usercpu_time_millis_testing: 14.386, usercpu_time_millis_training: 551.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, average_cost: 15.5477, f_measure: 0.7787, kappa: 0.1025, kb_relative_information_score: -3730.0437, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7856, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1029.1868, total_cost: 621100, usercpu_time_millis: 3283.169, usercpu_time_millis_testing: 51.457, usercpu_time_millis_training: 3231.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, average_cost: 15.4856, f_measure: 0.7772, kappa: 0.0996, kb_relative_information_score: -4466.5112, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7733, predictive_accuracy: 0.8271, prior_entropy: 0.6541, recall: 0.8271, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 969.6913, total_cost: 618620, usercpu_time_millis: 1839.158, usercpu_time_millis_testing: 21.003, usercpu_time_millis_training: 1818.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3193.1405, mean_absolute_error: 0.2681, 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: 0.957, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9757, scimark_benchmark: 1039.9385, total_cost: 669120, usercpu_time_millis: 736.224, usercpu_time_millis_testing: 23.349, usercpu_time_millis_training: 712.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2324.7853, mean_absolute_error: 0.2743, 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: 0.9791, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1043.5552, total_cost: 672800, usercpu_time_millis: 25.743, usercpu_time_millis_testing: 1.856, usercpu_time_millis_training: 23.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, average_cost: 16.2276, f_measure: 0.7682, kappa: 0.0545, kb_relative_information_score: -2103.7427, mean_absolute_error: 0.2591, 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: 0.9251, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1019.3343, total_cost: 648260, usercpu_time_millis: 2099.518, usercpu_time_millis_testing: 30.229, usercpu_time_millis_training: 2069.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1910.4706, mean_absolute_error: 0.2723, 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: 0.9722, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9786, scimark_benchmark: 1011.4394, total_cost: 672800, usercpu_time_millis: 121.809, usercpu_time_millis_testing: 12.16, usercpu_time_millis_training: 109.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, average_cost: 16.7325, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: -3151.6897, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8045, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9743, scimark_benchmark: 1040.2194, total_cost: 668430, usercpu_time_millis: 390.455, usercpu_time_millis_testing: 16.072, usercpu_time_millis_training: 374.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, average_cost: 16.0897, f_measure: 0.7708, kappa: 0.0657, kb_relative_information_score: -4214.8226, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1041.579, total_cost: 642750, usercpu_time_millis: 541.82, usercpu_time_millis_testing: 14.661, usercpu_time_millis_training: 527.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, average_cost: 16.7588, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: -1754.0179, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8284, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1087.6212, total_cost: 669480, usercpu_time_millis: 573.029, usercpu_time_millis_testing: 25.149, usercpu_time_millis_training: 547.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, average_cost: 16.2386, f_measure: 0.7677, kappa: 0.0527, kb_relative_information_score: -2295.6629, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7948, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 995.6955, total_cost: 648700, usercpu_time_millis: 1077.033, usercpu_time_millis_testing: 12.284, usercpu_time_millis_training: 1064.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2880.4491, mean_absolute_error: 0.2703, 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: 0.9651, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 965.0775, total_cost: 672800, usercpu_time_millis: 324.426, usercpu_time_millis_testing: 15.487, usercpu_time_millis_training: 308.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -19.525, 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: 907.0962, total_cost: 672800, usercpu_time_millis: 50.934, usercpu_time_millis_testing: 5.788, usercpu_time_millis_training: 45.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1753.9619, mean_absolute_error: 0.2742, 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: 0.9788, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9832, scimark_benchmark: 1095.6243, total_cost: 672800, usercpu_time_millis: 202.617, usercpu_time_millis_testing: 13.419, usercpu_time_millis_training: 189.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, average_cost: 14.9795, f_measure: 0.7794, kappa: 0.1205, kb_relative_information_score: -4802.0066, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7672, predictive_accuracy: 0.8182, prior_entropy: 0.6541, recall: 0.8182, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.0059, scimark_benchmark: 1054.2379, total_cost: 598400, usercpu_time_millis: 659.094, usercpu_time_millis_testing: 6.456, usercpu_time_millis_training: 652.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, average_cost: 15.0553, f_measure: 0.7627, kappa: 0.0799, kb_relative_information_score: -6477.9243, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7451, predictive_accuracy: 0.7892, prior_entropy: 0.6541, recall: 0.7892, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1014, scimark_benchmark: 1087.372, total_cost: 601430, usercpu_time_millis: 4.338, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 4.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, average_cost: 16.8121, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -2464.9663, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7829, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 987.7459, total_cost: 671610, usercpu_time_millis: 825.437, usercpu_time_millis_testing: 19.387, usercpu_time_millis_training: 806.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1955.3524, mean_absolute_error: 0.2716, 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: 0.9695, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 1014.956, total_cost: 672800, usercpu_time_millis: 128.672, usercpu_time_millis_testing: 9.863, usercpu_time_millis_training: 118.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, average_cost: 16.7393, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -1794.5, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8283, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1003.6227, total_cost: 668700, usercpu_time_millis: 637.486, usercpu_time_millis_testing: 31.35, usercpu_time_millis_training: 606.136,
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: 0.6933, average_cost: 16.0606, f_measure: 0.7715, kappa: 0.0685, kb_relative_information_score: -2927.6759, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618, scimark_benchmark: 1054.4846, total_cost: 641590, usercpu_time_millis: 315.9, usercpu_time_millis_testing: 6.648, usercpu_time_millis_training: 309.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, average_cost: 16.7773, f_measure: 0.7566, kappa: 0.0061, kb_relative_information_score: -3202.7766, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8086, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 979.9194, total_cost: 670220, usercpu_time_millis: 15.32, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 14.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, average_cost: 16.5598, f_measure: 0.7606, kappa: 0.0231, kb_relative_information_score: -2768.4891, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7676, predictive_accuracy: 0.8307, prior_entropy: 0.6541, recall: 0.8307, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1718.6781, total_cost: 661530, usercpu_time_millis: 2478.929, usercpu_time_millis_testing: 28.381, usercpu_time_millis_training: 2450.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, average_cost: 16.1177, f_measure: 0.7701, kappa: 0.0627, kb_relative_information_score: -2337.3943, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1733.8711, total_cost: 643870, usercpu_time_millis: 410.253, usercpu_time_millis_testing: 3.361, usercpu_time_millis_training: 406.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3030.7652, mean_absolute_error: 0.2668, 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: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1797.0714, total_cost: 669120, usercpu_time_millis: 381.21, usercpu_time_millis_testing: 10.364, usercpu_time_millis_training: 370.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, average_cost: 16.2777, f_measure: 0.7671, kappa: 0.0498, kb_relative_information_score: -2206.1405, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609, scimark_benchmark: 1903.5753, total_cost: 650260, usercpu_time_millis: 344.001, usercpu_time_millis_testing: 6.511, usercpu_time_millis_training: 337.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, average_cost: 16.7635, f_measure: 0.7569, kappa: 0.0073, kb_relative_information_score: -2262.9527, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1728.8802, total_cost: 669670, usercpu_time_millis: 207.457, usercpu_time_millis_testing: 9.504, usercpu_time_millis_training: 197.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, average_cost: 16.6534, f_measure: 0.7593, kappa: 0.0172, kb_relative_information_score: -2408.6578, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1763.3773, total_cost: 665270, usercpu_time_millis: 192.442, usercpu_time_millis_testing: 3.972, usercpu_time_millis_training: 188.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, average_cost: 16.3745, f_measure: 0.7652, kappa: 0.0417, kb_relative_information_score: -2876.6375, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1898.2084, total_cost: 654130, usercpu_time_millis: 194.129, usercpu_time_millis_testing: 8.937, usercpu_time_millis_training: 185.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, average_cost: 16.8424, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2333.0327, mean_absolute_error: 0.2663, 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: 0.9506, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1904.1368, total_cost: 672820, usercpu_time_millis: 185.334, usercpu_time_millis_testing: 10.587, usercpu_time_millis_training: 174.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, average_cost: 16.6051, f_measure: 0.7604, kappa: 0.0217, kb_relative_information_score: -2872.6024, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8024, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1890.4373, total_cost: 663340, usercpu_time_millis: 179.59, usercpu_time_millis_testing: 11.115, usercpu_time_millis_training: 168.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, average_cost: 16.153, f_measure: 0.7696, kappa: 0.0604, kb_relative_information_score: -2369.2859, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1852.9259, total_cost: 645280, usercpu_time_millis: 152.654, usercpu_time_millis_testing: 1.73, usercpu_time_millis_training: 150.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.7638, 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: 1733.7613, total_cost: 672800, usercpu_time_millis: 26.016, usercpu_time_millis_testing: 4.336, usercpu_time_millis_training: 21.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1880.7451, mean_absolute_error: 0.2682, 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: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1731.9625, total_cost: 672800, usercpu_time_millis: 130.961, usercpu_time_millis_testing: 7.793, usercpu_time_millis_training: 123.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1946.7854, 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: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1892.729, total_cost: 672800, usercpu_time_millis: 41.754, usercpu_time_millis_testing: 3.815, usercpu_time_millis_training: 37.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, average_cost: 16.7095, f_measure: 0.7581, kappa: 0.0122, kb_relative_information_score: -2444.177, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1750.7249, total_cost: 667510, usercpu_time_millis: 516.676, usercpu_time_millis_testing: 17.507, usercpu_time_millis_training: 499.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, average_cost: 16.5433, f_measure: 0.7616, kappa: 0.027, kb_relative_information_score: -2707.1707, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1749.7551, total_cost: 660870, usercpu_time_millis: 363.038, usercpu_time_millis_testing: 8.587, usercpu_time_millis_training: 354.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3053.9794, mean_absolute_error: 0.2685, 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: 0.9587, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9752, scimark_benchmark: 1844.7928, total_cost: 672800, usercpu_time_millis: 146.32, usercpu_time_millis_testing: 6.575, usercpu_time_millis_training: 139.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, average_cost: 16.7035, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2517.9958, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7868, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1848.388, total_cost: 667270, usercpu_time_millis: 102.402, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 101.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2615.8973, mean_absolute_error: 0.2735, 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: 0.9764, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1848.916, total_cost: 672800, usercpu_time_millis: 71.759, usercpu_time_millis_testing: 6.752, usercpu_time_millis_training: 65.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1147.454, mean_absolute_error: 0.2772, 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: 0.9896, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.991, scimark_benchmark: 1830.308, total_cost: 672800, usercpu_time_millis: 64.247, usercpu_time_millis_testing: 8.101, usercpu_time_millis_training: 56.146,

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