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: 0.6986, average_cost: 16.7445, f_measure: 0.7574, kappa: 0.0093, kb_relative_information_score: -1855.8969, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8243, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1282.5596, total_cost: 668910, usercpu_time_millis: 1405.967, usercpu_time_millis_testing: 89.096, usercpu_time_millis_training: 1316.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, average_cost: 15.9202, f_measure: 0.7738, kappa: 0.0787, kb_relative_information_score: -2511.7478, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1283.5995, total_cost: 635980, usercpu_time_millis: 446.298, usercpu_time_millis_testing: 13.421, usercpu_time_millis_training: 432.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, average_cost: 15.9763, f_measure: 0.7726, kappa: 0.0739, kb_relative_information_score: -3659.5607, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.965, scimark_benchmark: 1276.2768, total_cost: 638220, usercpu_time_millis: 850.424, usercpu_time_millis_testing: 18.208, usercpu_time_millis_training: 832.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, average_cost: 15.8989, f_measure: 0.7741, kappa: 0.0802, kb_relative_information_score: -2465.639, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1281.3474, total_cost: 635130, usercpu_time_millis: 556.794, usercpu_time_millis_testing: 16.998, usercpu_time_millis_training: 539.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, average_cost: 15.3615, f_measure: 0.7781, kappa: 0.1056, kb_relative_information_score: -5041.6562, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7716, predictive_accuracy: 0.8253, prior_entropy: 0.6541, recall: 0.8253, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9912, scimark_benchmark: 1284.6222, total_cost: 613660, usercpu_time_millis: 284.417, usercpu_time_millis_testing: 3.305, usercpu_time_millis_training: 281.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, average_cost: 15.9522, f_measure: 0.7731, kappa: 0.0759, kb_relative_information_score: -3435.022, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7952, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1281.3359, total_cost: 637260, usercpu_time_millis: 567.957, usercpu_time_millis_testing: 13.721, usercpu_time_millis_training: 554.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, average_cost: 15.6679, f_measure: 0.7774, kappa: 0.0958, kb_relative_information_score: -3673.3022, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7897, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9701, scimark_benchmark: 1283.8856, total_cost: 625900, usercpu_time_millis: 436.25, usercpu_time_millis_testing: 10.151, usercpu_time_millis_training: 426.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, average_cost: 16.7072, f_measure: 0.7583, kappa: 0.0129, kb_relative_information_score: -1763.5333, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8307, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1278.0993, total_cost: 667420, usercpu_time_millis: 358.697, usercpu_time_millis_testing: 19.711, usercpu_time_millis_training: 338.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, average_cost: 16.7465, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: -1952.2415, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.829, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1285.3032, total_cost: 668990, usercpu_time_millis: 120.756, usercpu_time_millis_testing: 7.466, usercpu_time_millis_training: 113.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, average_cost: 16.1655, f_measure: 0.7692, kappa: 0.0589, kb_relative_information_score: -3744.9461, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1288.3462, total_cost: 645780, usercpu_time_millis: 500.417, usercpu_time_millis_testing: 19.278, usercpu_time_millis_training: 481.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, average_cost: 15.8806, f_measure: 0.7744, kappa: 0.0816, kb_relative_information_score: -2391.9369, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1278.2904, total_cost: 634400, usercpu_time_millis: 832.89, usercpu_time_millis_testing: 24.344, usercpu_time_millis_training: 808.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, average_cost: 15.9377, f_measure: 0.7735, kappa: 0.0775, kb_relative_information_score: -3521.2426, mean_absolute_error: 0.263, 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: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1277.2768, total_cost: 636680, usercpu_time_millis: 1538.288, usercpu_time_millis_testing: 37.348, usercpu_time_millis_training: 1500.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, average_cost: 16.7886, f_measure: 0.7564, kappa: 0.0051, kb_relative_information_score: -2036.6352, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8197, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1278.2028, total_cost: 670670, usercpu_time_millis: 528.001, usercpu_time_millis_testing: 44.55, usercpu_time_millis_training: 483.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, average_cost: 15.3404, f_measure: 0.7789, kappa: 0.1084, kb_relative_information_score: -4165.4973, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7737, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1280.673, total_cost: 612820, usercpu_time_millis: 3689.948, usercpu_time_millis_testing: 33.23, usercpu_time_millis_training: 3656.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, average_cost: 15.184, f_measure: 0.7795, kappa: 0.1145, kb_relative_information_score: -4079.1901, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7707, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9911, scimark_benchmark: 1282.345, total_cost: 606570, usercpu_time_millis: 977.692, usercpu_time_millis_testing: 12.601, usercpu_time_millis_training: 965.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, average_cost: 16.0519, f_measure: 0.7715, kappa: 0.0689, kb_relative_information_score: -2599.5701, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1285.2815, total_cost: 641240, usercpu_time_millis: 1116.026, usercpu_time_millis_testing: 36.711, usercpu_time_millis_training: 1079.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, average_cost: 16.0283, f_measure: 0.7719, kappa: 0.0705, kb_relative_information_score: -2445.9206, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9609, scimark_benchmark: 1291.2566, total_cost: 640300, usercpu_time_millis: 658.233, usercpu_time_millis_testing: 21.489, usercpu_time_millis_training: 636.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, average_cost: 16.7343, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -1839.9416, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8295, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1287.4926, total_cost: 668500, usercpu_time_millis: 1091.886, usercpu_time_millis_testing: 69.68, usercpu_time_millis_training: 1022.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, average_cost: 15.8291, f_measure: 0.7752, kappa: 0.0851, kb_relative_information_score: -3772.2691, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7936, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1270.6269, total_cost: 632340, usercpu_time_millis: 307.56, usercpu_time_millis_testing: 8.082, usercpu_time_millis_training: 299.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, average_cost: 16.7803, f_measure: 0.7566, kappa: 0.006, kb_relative_information_score: -1986.1155, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8371, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1279.166, total_cost: 670340, usercpu_time_millis: 708.371, usercpu_time_millis_testing: 58.028, usercpu_time_millis_training: 650.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, average_cost: 15.4624, f_measure: 0.7796, kappa: 0.1072, kb_relative_information_score: -3666.9283, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7834, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1276.0874, total_cost: 617690, usercpu_time_millis: 908.874, usercpu_time_millis_testing: 14.561, usercpu_time_millis_training: 894.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, average_cost: 15.6544, f_measure: 0.7771, kappa: 0.0951, kb_relative_information_score: -3871.0647, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7856, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9717, scimark_benchmark: 1286.0117, total_cost: 625360, usercpu_time_millis: 806.132, usercpu_time_millis_testing: 15.958, usercpu_time_millis_training: 790.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, average_cost: 15.6383, f_measure: 0.7775, kappa: 0.0966, kb_relative_information_score: -3616.0375, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7865, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1282.6981, total_cost: 624720, usercpu_time_millis: 2431.698, usercpu_time_millis_testing: 36.52, usercpu_time_millis_training: 2395.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, average_cost: 15.4293, f_measure: 0.7791, kappa: 0.1067, kb_relative_information_score: -3970.7654, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.779, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9802, scimark_benchmark: 1282.6656, total_cost: 616370, usercpu_time_millis: 808.752, usercpu_time_millis_testing: 12.102, usercpu_time_millis_training: 796.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, average_cost: 16.7383, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -1907.9488, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.815, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1262.6918, total_cost: 668660, usercpu_time_millis: 183.891, usercpu_time_millis_testing: 11.351, usercpu_time_millis_training: 172.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, average_cost: 16.0631, f_measure: 0.7714, kappa: 0.0683, kb_relative_information_score: -3276.2701, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1282.0458, total_cost: 641690, usercpu_time_millis: 874.135, usercpu_time_millis_testing: 31.383, usercpu_time_millis_training: 842.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, average_cost: 15.6013, f_measure: 0.7787, kappa: 0.1011, kb_relative_information_score: -3291.6153, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7911, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1270.3492, total_cost: 623240, usercpu_time_millis: 737.508, usercpu_time_millis_testing: 18.51, usercpu_time_millis_training: 718.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, average_cost: 16.1993, f_measure: 0.7687, kappa: 0.0566, kb_relative_information_score: -3406.9704, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1287.4631, total_cost: 647130, usercpu_time_millis: 205.281, usercpu_time_millis_testing: 10.515, usercpu_time_millis_training: 194.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, average_cost: 15.4684, f_measure: 0.779, kappa: 0.1052, kb_relative_information_score: -3973.6267, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7806, predictive_accuracy: 0.8302, prior_entropy: 0.6541, recall: 0.8302, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9788, scimark_benchmark: 1276.5236, total_cost: 617930, usercpu_time_millis: 915.138, usercpu_time_millis_testing: 11.86, usercpu_time_millis_training: 903.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, average_cost: 16.7245, f_measure: 0.7579, kappa: 0.0112, kb_relative_information_score: -1796.1882, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8293, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1273.8245, total_cost: 668110, usercpu_time_millis: 1034.94, usercpu_time_millis_testing: 62.982, usercpu_time_millis_training: 971.958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, average_cost: 16.8006, f_measure: 0.7561, kappa: 0.0039, kb_relative_information_score: -2067.9933, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8219, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1270.6797, total_cost: 671150, usercpu_time_millis: 759.158, usercpu_time_millis_testing: 60.958, usercpu_time_millis_training: 698.2,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, average_cost: 16.7125, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -1771.9055, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1270.5977, total_cost: 667630, usercpu_time_millis: 949.91, usercpu_time_millis_testing: 54.129, usercpu_time_millis_training: 895.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, average_cost: 15.6201, f_measure: 0.7776, kappa: 0.0973, kb_relative_information_score: -4346.8311, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7851, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9751, scimark_benchmark: 1280.9553, total_cost: 623990, usercpu_time_millis: 565.305, usercpu_time_millis_testing: 8.914, usercpu_time_millis_training: 556.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, average_cost: 16.7212, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1978.0204, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1281.6855, total_cost: 667980, usercpu_time_millis: 77.097, usercpu_time_millis_testing: 4.864, usercpu_time_millis_training: 72.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, average_cost: 15.6974, f_measure: 0.7773, kappa: 0.0946, kb_relative_information_score: -3592.6313, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7924, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1278.2932, total_cost: 627080, usercpu_time_millis: 2245.843, usercpu_time_millis_testing: 33.038, usercpu_time_millis_training: 2212.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, average_cost: 15.8954, f_measure: 0.7744, kappa: 0.0813, kb_relative_information_score: -3673.5333, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1276.2297, total_cost: 634990, usercpu_time_millis: 674.592, usercpu_time_millis_testing: 14.626, usercpu_time_millis_training: 659.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, average_cost: 16.6977, f_measure: 0.7585, kappa: 0.0138, kb_relative_information_score: -1738.9604, mean_absolute_error: 0.2666, 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: 0.9517, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1292.5184, total_cost: 667040, usercpu_time_millis: 658.907, usercpu_time_millis_testing: 30.262, usercpu_time_millis_training: 628.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, average_cost: 16.1082, f_measure: 0.7704, kappa: 0.0639, kb_relative_information_score: -3741.0381, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1276.4926, total_cost: 643490, usercpu_time_millis: 2878.417, usercpu_time_millis_testing: 70.511, usercpu_time_millis_training: 2807.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, average_cost: 15.8499, f_measure: 0.7747, kappa: 0.0831, kb_relative_information_score: -3373.6736, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1287.5108, total_cost: 633170, usercpu_time_millis: 936.551, usercpu_time_millis_testing: 25.644, usercpu_time_millis_training: 910.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, average_cost: 15.8847, f_measure: 0.7743, kappa: 0.081, kb_relative_information_score: -3440.2244, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1269.8706, total_cost: 634560, usercpu_time_millis: 2418.131, usercpu_time_millis_testing: 48.009, usercpu_time_millis_training: 2370.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, average_cost: 15.7144, f_measure: 0.777, kappa: 0.0935, kb_relative_information_score: -3462.187, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1270.2969, total_cost: 627760, usercpu_time_millis: 1083.268, usercpu_time_millis_testing: 22.074, usercpu_time_millis_training: 1061.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, average_cost: 14.8681, f_measure: 0.776, kappa: 0.1157, kb_relative_information_score: -5549.1963, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7607, predictive_accuracy: 0.8095, prior_entropy: 0.6541, recall: 0.8095, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3842, root_relative_squared_error: 1.0266, scimark_benchmark: 1265.5209, total_cost: 593950, usercpu_time_millis: 213.708, usercpu_time_millis_testing: 2.153, usercpu_time_millis_training: 211.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, average_cost: 16.698, f_measure: 0.7585, kappa: 0.0137, kb_relative_information_score: -1738.068, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8268, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1268.375, total_cost: 667050, usercpu_time_millis: 1253.218, usercpu_time_millis_testing: 68.134, usercpu_time_millis_training: 1185.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, average_cost: 15.6025, f_measure: 0.7784, kappa: 0.1002, kb_relative_information_score: -3850.0758, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7889, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9728, scimark_benchmark: 1279.8066, total_cost: 623290, usercpu_time_millis: 808.313, usercpu_time_millis_testing: 10.362, usercpu_time_millis_training: 797.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, average_cost: 16.6877, f_measure: 0.7587, kappa: 0.0148, kb_relative_information_score: -1722.5228, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8304, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1285.9375, total_cost: 666640, usercpu_time_millis: 960.004, usercpu_time_millis_testing: 46.676, usercpu_time_millis_training: 913.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, average_cost: 16.725, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -1787.4541, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8248, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1269.9081, total_cost: 668130, usercpu_time_millis: 402.732, usercpu_time_millis_testing: 23.137, usercpu_time_millis_training: 379.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, average_cost: 16.7247, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -1766.3679, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8271, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1287.0362, total_cost: 668120, usercpu_time_millis: 956.61, usercpu_time_millis_testing: 56.483, usercpu_time_millis_training: 900.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, average_cost: 15.6398, f_measure: 0.7774, kappa: 0.0963, kb_relative_information_score: -3935.4669, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.786, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1287.698, total_cost: 624780, usercpu_time_millis: 2202.13, usercpu_time_millis_testing: 34.583, usercpu_time_millis_training: 2167.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, average_cost: 15.7067, f_measure: 0.7769, kappa: 0.0932, kb_relative_information_score: -3490.2904, mean_absolute_error: 0.2611, 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: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1278.4958, total_cost: 627450, usercpu_time_millis: 969.621, usercpu_time_millis_testing: 24.149, usercpu_time_millis_training: 945.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, average_cost: 15.7607, f_measure: 0.7759, kappa: 0.0889, kb_relative_information_score: -3867.7963, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7895, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1288.6133, total_cost: 629610, usercpu_time_millis: 288.905, usercpu_time_millis_testing: 4.807, usercpu_time_millis_training: 284.098,
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: 0.6842, average_cost: 15.8371, f_measure: 0.7751, kappa: 0.0846, kb_relative_information_score: -3811.2796, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1268.5213, total_cost: 632660, usercpu_time_millis: 2275.226, usercpu_time_millis_testing: 34.006, usercpu_time_millis_training: 2241.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, average_cost: 15.5374, f_measure: 0.7776, kappa: 0.0995, kb_relative_information_score: -4393.3329, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7784, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1288.9325, total_cost: 620690, usercpu_time_millis: 1605.179, usercpu_time_millis_testing: 14.26, usercpu_time_millis_training: 1590.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, average_cost: 16.2033, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -3506.7648, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1278.9562, total_cost: 647290, usercpu_time_millis: 1887.91, usercpu_time_millis_testing: 75.455, usercpu_time_millis_training: 1812.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, average_cost: 16.0782, f_measure: 0.7711, kappa: 0.0669, kb_relative_information_score: -3207.7999, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1274.1597, total_cost: 642290, usercpu_time_millis: 1145.632, usercpu_time_millis_testing: 43.592, usercpu_time_millis_training: 1102.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, average_cost: 16.751, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -2287.5937, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8085, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1281.318, total_cost: 669170, usercpu_time_millis: 26.705, usercpu_time_millis_testing: 2.378, usercpu_time_millis_training: 24.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, average_cost: 16.2031, f_measure: 0.7684, kappa: 0.0558, kb_relative_information_score: -3749.99, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1286.5413, total_cost: 647280, usercpu_time_millis: 1753.4, usercpu_time_millis_testing: 59.12, usercpu_time_millis_training: 1694.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, average_cost: 16.1983, f_measure: 0.7688, kappa: 0.0571, kb_relative_information_score: -2963.6775, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8022, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1285.0235, total_cost: 647090, usercpu_time_millis: 105.987, usercpu_time_millis_testing: 5.409, usercpu_time_millis_training: 100.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, average_cost: 16.1548, f_measure: 0.7698, kappa: 0.0612, kb_relative_information_score: -2585.9563, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8058, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9594, scimark_benchmark: 1286.3297, total_cost: 645350, usercpu_time_millis: 1201.73, usercpu_time_millis_testing: 50.617, usercpu_time_millis_training: 1151.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, average_cost: 16.0293, f_measure: 0.7718, kappa: 0.07, kb_relative_information_score: -3629.8088, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1262.4622, total_cost: 640340, usercpu_time_millis: 2763.062, usercpu_time_millis_testing: 62.893, usercpu_time_millis_training: 2700.169,
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: 0.6781, average_cost: 15.6594, f_measure: 0.7775, kappa: 0.096, kb_relative_information_score: -3805.9814, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1286.2889, total_cost: 625560, usercpu_time_millis: 609.757, usercpu_time_millis_testing: 8.868, usercpu_time_millis_training: 600.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, average_cost: 16.7665, f_measure: 0.7569, kappa: 0.0072, kb_relative_information_score: -1902.2832, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8226, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9666, scimark_benchmark: 1261.9607, total_cost: 669790, usercpu_time_millis: 1288.676, usercpu_time_millis_testing: 91.141, usercpu_time_millis_training: 1197.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, average_cost: 15.6674, f_measure: 0.7769, kappa: 0.0939, kb_relative_information_score: -3981.8097, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7849, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1284.4412, total_cost: 625880, usercpu_time_millis: 789.806, usercpu_time_millis_testing: 12.767, usercpu_time_millis_training: 777.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, average_cost: 16.1763, f_measure: 0.7692, kappa: 0.0588, kb_relative_information_score: -3215.287, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1287.3558, total_cost: 646210, usercpu_time_millis: 1195.924, usercpu_time_millis_testing: 56.505, usercpu_time_millis_training: 1139.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, average_cost: 15.7652, f_measure: 0.7762, kappa: 0.0896, kb_relative_information_score: -3344.7851, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7925, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1289.1709, total_cost: 629790, usercpu_time_millis: 960.104, usercpu_time_millis_testing: 21.28, usercpu_time_millis_training: 938.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, average_cost: 15.796, f_measure: 0.7754, kappa: 0.0865, kb_relative_information_score: -3575.8149, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7899, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1285.5558, total_cost: 631020, usercpu_time_millis: 1045.741, usercpu_time_millis_testing: 19.932, usercpu_time_millis_training: 1025.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, average_cost: 15.997, f_measure: 0.7725, kappa: 0.0732, kb_relative_information_score: -2587.0009, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1276.0534, total_cost: 639050, usercpu_time_millis: 1026.931, usercpu_time_millis_testing: 32.38, usercpu_time_millis_training: 994.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, average_cost: 15.8944, f_measure: 0.7743, kappa: 0.0808, kb_relative_information_score: -3335.5472, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1280.9262, total_cost: 634950, usercpu_time_millis: 1626.684, usercpu_time_millis_testing: 36.44, usercpu_time_millis_training: 1590.244,

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