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: 0.6976, average_cost: 16.2151, f_measure: 0.7684, kappa: 0.0553, kb_relative_information_score: -2171.783, mean_absolute_error: 0.2593, 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: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1315.3423, total_cost: 647760, usercpu_time_millis: 6163.849, usercpu_time_millis_testing: 96.679, usercpu_time_millis_training: 6067.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, average_cost: 16.7555, f_measure: 0.7571, kappa: 0.0081, kb_relative_information_score: -2356.4268, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.811, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1301.8115, total_cost: 669350, usercpu_time_millis: 56.081, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 52.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, average_cost: 16.5841, f_measure: 0.761, kappa: 0.0241, kb_relative_information_score: -2483.5076, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8158, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1307.6153, total_cost: 662500, usercpu_time_millis: 1429.617, usercpu_time_millis_testing: 92.957, usercpu_time_millis_training: 1336.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, average_cost: 16.6113, f_measure: 0.76, kappa: 0.0201, kb_relative_information_score: -2500.6892, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1308.7759, total_cost: 663590, usercpu_time_millis: 4749.351, usercpu_time_millis_testing: 72.385, usercpu_time_millis_training: 4676.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, average_cost: 16.5042, f_measure: 0.7625, kappa: 0.0306, kb_relative_information_score: -2228.9855, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618, scimark_benchmark: 1302.9083, total_cost: 659310, usercpu_time_millis: 2393.734, usercpu_time_millis_testing: 49.063, usercpu_time_millis_training: 2344.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, average_cost: 16.2634, f_measure: 0.7674, kappa: 0.0511, kb_relative_information_score: -3074.6026, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1320.3024, total_cost: 649690, usercpu_time_millis: 1811.463, usercpu_time_millis_testing: 94.737, usercpu_time_millis_training: 1716.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, average_cost: 16.5593, f_measure: 0.7614, kappa: 0.0259, kb_relative_information_score: -2606.1096, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1282.1818, total_cost: 661510, usercpu_time_millis: 1292.405, usercpu_time_millis_testing: 57.488, usercpu_time_millis_training: 1234.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, average_cost: 16.1815, f_measure: 0.7691, kappa: 0.0583, kb_relative_information_score: -2701.6452, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1308.2997, total_cost: 646420, usercpu_time_millis: 4164.071, usercpu_time_millis_testing: 80.189, usercpu_time_millis_training: 4083.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, average_cost: 16.3528, f_measure: 0.7656, kappa: 0.0437, kb_relative_information_score: -2141.4161, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1302.3057, total_cost: 653260, usercpu_time_millis: 4416.726, usercpu_time_millis_testing: 88.475, usercpu_time_millis_training: 4328.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, average_cost: 15.4135, f_measure: 0.7796, kappa: 0.1085, kb_relative_information_score: -3977.3212, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.8298, prior_entropy: 0.6541, recall: 0.8298, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9791, scimark_benchmark: 1307.0203, total_cost: 615740, usercpu_time_millis: 1827.411, usercpu_time_millis_testing: 22.711, usercpu_time_millis_training: 1804.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, average_cost: 15.3662, f_measure: 0.778, kappa: 0.1052, kb_relative_information_score: -3962.7135, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7715, predictive_accuracy: 0.8253, prior_entropy: 0.6541, recall: 0.8253, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1276.6163, total_cost: 613850, usercpu_time_millis: 3786.038, usercpu_time_millis_testing: 34.14, usercpu_time_millis_training: 3751.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, average_cost: 16.7117, f_measure: 0.7582, kappa: 0.0125, kb_relative_information_score: -1788.6534, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8341, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1314.6472, total_cost: 667600, usercpu_time_millis: 553.005, usercpu_time_millis_testing: 34.513, usercpu_time_millis_training: 518.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, average_cost: 16.5225, f_measure: 0.762, kappa: 0.0285, kb_relative_information_score: -2850.2649, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1304.4697, total_cost: 660040, usercpu_time_millis: 382.494, usercpu_time_millis_testing: 10.409, usercpu_time_millis_training: 372.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, average_cost: 16.5553, f_measure: 0.7615, kappa: 0.0262, kb_relative_information_score: -2639.5693, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9666, scimark_benchmark: 1301.5255, total_cost: 661350, usercpu_time_millis: 1453.584, usercpu_time_millis_testing: 62.306, usercpu_time_millis_training: 1391.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, average_cost: 15.994, f_measure: 0.7723, kappa: 0.0726, kb_relative_information_score: -4215.1502, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1300.1217, total_cost: 638930, usercpu_time_millis: 1038.409, usercpu_time_millis_testing: 29.399, usercpu_time_millis_training: 1009.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2432.2708, mean_absolute_error: 0.2699, 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: 0.9637, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9744, scimark_benchmark: 1295.817, total_cost: 672800, usercpu_time_millis: 338.506, usercpu_time_millis_testing: 24.202, usercpu_time_millis_training: 314.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, average_cost: 16.1167, f_measure: 0.7701, kappa: 0.063, kb_relative_information_score: -2549.6214, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7962, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1309.2421, total_cost: 643830, usercpu_time_millis: 197.916, usercpu_time_millis_testing: 1.959, usercpu_time_millis_training: 195.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, average_cost: 15.5612, f_measure: 0.7779, kappa: 0.0996, kb_relative_information_score: -4287.6678, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7815, predictive_accuracy: 0.8308, prior_entropy: 0.6541, recall: 0.8308, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1301.7558, total_cost: 621640, usercpu_time_millis: 3123.612, usercpu_time_millis_testing: 25.235, usercpu_time_millis_training: 3098.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, average_cost: 16.6882, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -2518.8942, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1329.2565, total_cost: 666660, usercpu_time_millis: 3574.645, usercpu_time_millis_testing: 85.737, usercpu_time_millis_training: 3488.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, average_cost: 16.5488, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2254.0208, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1314.4567, total_cost: 661090, usercpu_time_millis: 4939.168, usercpu_time_millis_testing: 102.396, usercpu_time_millis_training: 4836.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, average_cost: 16.189, f_measure: 0.7688, kappa: 0.0573, kb_relative_information_score: -2411.2361, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1314.1598, total_cost: 646720, usercpu_time_millis: 3511.108, usercpu_time_millis_testing: 49.141, usercpu_time_millis_training: 3461.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, average_cost: 16.1492, f_measure: 0.7698, kappa: 0.0612, kb_relative_information_score: -2524.889, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, 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: 0.3595, root_relative_squared_error: 0.9605, scimark_benchmark: 1312.5591, total_cost: 645130, usercpu_time_millis: 2741.39, usercpu_time_millis_testing: 65.655, usercpu_time_millis_training: 2675.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, average_cost: 16.6762, f_measure: 0.7585, kappa: 0.0142, kb_relative_information_score: -2657.9216, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7745, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1340.7398, total_cost: 666180, usercpu_time_millis: 327.356, usercpu_time_millis_testing: 4.925, usercpu_time_millis_training: 322.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, average_cost: 16.308, f_measure: 0.7665, kappa: 0.0475, kb_relative_information_score: -2243.3601, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1329.4056, total_cost: 651470, usercpu_time_millis: 3905.004, usercpu_time_millis_testing: 109.729, usercpu_time_millis_training: 3795.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, average_cost: 16.2051, f_measure: 0.7686, kappa: 0.0563, kb_relative_information_score: -2461.4709, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1287.2396, total_cost: 647360, usercpu_time_millis: 1466.483, usercpu_time_millis_testing: 34.862, usercpu_time_millis_training: 1431.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, average_cost: 16.6133, f_measure: 0.7601, kappa: 0.0205, kb_relative_information_score: -2468.3358, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.793, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1311.52, total_cost: 663670, usercpu_time_millis: 2782.188, usercpu_time_millis_testing: 36.828, usercpu_time_millis_training: 2745.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, average_cost: 16.5568, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: -2432.8291, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8051, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1294.7839, total_cost: 661410, usercpu_time_millis: 2671.022, usercpu_time_millis_testing: 106.725, usercpu_time_millis_training: 2564.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, average_cost: 16.5538, f_measure: 0.7615, kappa: 0.0265, kb_relative_information_score: -2234.8707, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8066, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1310.0876, total_cost: 661290, usercpu_time_millis: 2629.054, usercpu_time_millis_testing: 76.124, usercpu_time_millis_training: 2552.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, average_cost: 16.1387, f_measure: 0.7698, kappa: 0.0613, kb_relative_information_score: -2511.3175, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1328.2609, total_cost: 644710, usercpu_time_millis: 2451.995, usercpu_time_millis_testing: 21.258, usercpu_time_millis_training: 2430.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, average_cost: 15.8038, f_measure: 0.7756, kappa: 0.087, kb_relative_information_score: -2810.9672, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7937, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1307.9083, total_cost: 631330, usercpu_time_millis: 1736.159, usercpu_time_millis_testing: 20.048, usercpu_time_millis_training: 1716.111,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, average_cost: 16.7418, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -1737.003, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, 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: 0.966, scimark_benchmark: 1326.5534, total_cost: 668800, usercpu_time_millis: 1313.765, usercpu_time_millis_testing: 59.045, usercpu_time_millis_training: 1254.72,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, average_cost: 16.5055, f_measure: 0.7622, kappa: 0.0295, kb_relative_information_score: -3337.1286, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7875, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1310.5878, total_cost: 659360, usercpu_time_millis: 35.305, usercpu_time_millis_testing: 1.736, usercpu_time_millis_training: 33.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, average_cost: 16.6799, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2486.2647, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7884, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1308.8508, total_cost: 666330, usercpu_time_millis: 2486.751, usercpu_time_millis_testing: 49.682, usercpu_time_millis_training: 2437.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, average_cost: 16.0516, f_measure: 0.7716, kappa: 0.0692, kb_relative_information_score: -3318.8187, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8017, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1315.4202, total_cost: 641230, usercpu_time_millis: 844.753, usercpu_time_millis_testing: 41.125, usercpu_time_millis_training: 803.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, average_cost: 16.5463, f_measure: 0.7616, kappa: 0.0269, kb_relative_information_score: -2620.8818, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, 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: 1302.2544, total_cost: 660990, usercpu_time_millis: 2673.166, usercpu_time_millis_testing: 81.54, usercpu_time_millis_training: 2591.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, average_cost: 16.6036, f_measure: 0.7604, kappa: 0.0217, kb_relative_information_score: -2512.365, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1304.8369, total_cost: 663280, usercpu_time_millis: 693.087, usercpu_time_millis_testing: 25.08, usercpu_time_millis_training: 668.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, average_cost: 16.1548, f_measure: 0.7696, kappa: 0.0606, kb_relative_information_score: -2256.1222, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9602, scimark_benchmark: 1308.6682, total_cost: 645350, usercpu_time_millis: 4556.349, usercpu_time_millis_testing: 81.687, usercpu_time_millis_training: 4474.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, average_cost: 16.4156, f_measure: 0.7644, kappa: 0.0386, kb_relative_information_score: -2507.5019, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1286.0651, total_cost: 655770, usercpu_time_millis: 2232.941, usercpu_time_millis_testing: 95.807, usercpu_time_millis_training: 2137.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, average_cost: 16.6214, f_measure: 0.76, kappa: 0.0203, kb_relative_information_score: -2445.8624, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8033, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1308.2697, total_cost: 663990, usercpu_time_millis: 1270.555, usercpu_time_millis_testing: 48.769, usercpu_time_millis_training: 1221.786,

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