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: 0.6908, average_cost: 16.7833, f_measure: 0.7564, kappa: 0.0054, kb_relative_information_score: -2417.1742, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1344.9049, total_cost: 670460, usercpu_time_millis: 228.122, usercpu_time_millis_testing: 9.763, usercpu_time_millis_training: 218.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.0401, 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: 1354.344, total_cost: 672800, usercpu_time_millis: 46.08, usercpu_time_millis_testing: 8.114, usercpu_time_millis_training: 37.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, average_cost: 16.7025, f_measure: 0.758, kappa: 0.012, kb_relative_information_score: -2608.44, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7759, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1361.0903, total_cost: 667230, usercpu_time_millis: 365.764, usercpu_time_millis_testing: 5.257, usercpu_time_millis_training: 360.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, average_cost: 16.0328, f_measure: 0.7719, kappa: 0.0705, kb_relative_information_score: -3550.6873, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1358.2859, total_cost: 640480, usercpu_time_millis: 438.812, usercpu_time_millis_testing: 17.175, usercpu_time_millis_training: 421.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1961.5799, mean_absolute_error: 0.2692, 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: 0.961, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1353.7377, total_cost: 672800, usercpu_time_millis: 395.251, usercpu_time_millis_testing: 23.485, usercpu_time_millis_training: 371.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, average_cost: 16.6294, f_measure: 0.7598, kappa: 0.0192, kb_relative_information_score: -2498.6035, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7937, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1350.2755, total_cost: 664310, usercpu_time_millis: 64.939, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 63.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, average_cost: 16.0338, f_measure: 0.7719, kappa: 0.0706, kb_relative_information_score: -2648.246, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1359.4256, total_cost: 640520, usercpu_time_millis: 184.561, usercpu_time_millis_testing: 6.236, usercpu_time_millis_training: 178.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, average_cost: 16.0849, f_measure: 0.7709, kappa: 0.0661, kb_relative_information_score: -2496.3465, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1335.1717, total_cost: 642560, usercpu_time_millis: 2269.064, usercpu_time_millis_testing: 18.81, usercpu_time_millis_training: 2250.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -76.069, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1362.1552, total_cost: 672800, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, average_cost: 16.8209, f_measure: 0.7556, kappa: 0.0019, kb_relative_information_score: -2402.4233, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7927, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1368.6961, total_cost: 671960, usercpu_time_millis: 290.496, usercpu_time_millis_testing: 8.585, usercpu_time_millis_training: 281.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, average_cost: 16.8114, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: -2355.4892, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1349.6644, total_cost: 671580, usercpu_time_millis: 48.512, usercpu_time_millis_testing: 2.061, usercpu_time_millis_training: 46.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, average_cost: 16.2344, f_measure: 0.768, kappa: 0.0536, kb_relative_information_score: -2374.7383, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1354.0125, total_cost: 648530, usercpu_time_millis: 1691.66, usercpu_time_millis_testing: 33.558, usercpu_time_millis_training: 1658.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -30.3154, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1362.439, total_cost: 672800, usercpu_time_millis: 21.432, usercpu_time_millis_testing: 2.058, usercpu_time_millis_training: 19.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2432.0029, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9744, scimark_benchmark: 1357.3746, total_cost: 672800, usercpu_time_millis: 32.622, usercpu_time_millis_testing: 1.358, usercpu_time_millis_training: 31.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1970.0862, 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: 0.3643, root_relative_squared_error: 0.9734, scimark_benchmark: 1351.0787, total_cost: 672800, usercpu_time_millis: 61.435, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 58.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, average_cost: 15.6586, f_measure: 0.7772, kappa: 0.0952, kb_relative_information_score: -4126.9394, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7864, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1087.5071, total_cost: 625530, usercpu_time_millis: 4021.492, usercpu_time_millis_testing: 41.087, usercpu_time_millis_training: 3980.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, average_cost: 16.0454, f_measure: 0.7716, kappa: 0.0693, kb_relative_information_score: -4013.0989, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1351.2504, total_cost: 640980, usercpu_time_millis: 368.704, usercpu_time_millis_testing: 13.947, usercpu_time_millis_training: 354.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, average_cost: 16.7693, f_measure: 0.7567, kappa: 0.0066, kb_relative_information_score: -2531.6381, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1353.5948, total_cost: 669900, usercpu_time_millis: 202.266, usercpu_time_millis_testing: 9.085, usercpu_time_millis_training: 193.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3713.0289, mean_absolute_error: 0.2727, 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: 0.9735, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1323.0549, total_cost: 672800, usercpu_time_millis: 164.918, usercpu_time_millis_testing: 10.004, usercpu_time_millis_training: 154.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, average_cost: 16.5863, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2305.278, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8087, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1347.8617, total_cost: 662590, usercpu_time_millis: 395.171, usercpu_time_millis_testing: 12.591, usercpu_time_millis_training: 382.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, average_cost: 15.7905, f_measure: 0.7752, kappa: 0.086, kb_relative_information_score: -3999.8858, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7874, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9696, scimark_benchmark: 1359.4793, total_cost: 630800, usercpu_time_millis: 376.683, usercpu_time_millis_testing: 5.112, usercpu_time_millis_training: 371.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -6.5953, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1344.593, total_cost: 672800, usercpu_time_millis: 14.493, usercpu_time_millis_testing: 2.138, usercpu_time_millis_training: 12.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3122.4418, mean_absolute_error: 0.2724, 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: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1340.9217, total_cost: 672800, usercpu_time_millis: 86.192, usercpu_time_millis_testing: 8.841, usercpu_time_millis_training: 77.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -9.1263, 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: 1351.5298, total_cost: 672800, usercpu_time_millis: 19.298, usercpu_time_millis_testing: 3.442, usercpu_time_millis_training: 15.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, average_cost: 15.7104, f_measure: 0.7771, kappa: 0.0937, kb_relative_information_score: -3401.6214, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7927, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1243.9264, total_cost: 627600, usercpu_time_millis: 1729.573, usercpu_time_millis_testing: 36.909, usercpu_time_millis_training: 1692.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1514.074, mean_absolute_error: 0.2763, 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: 0.9863, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886, scimark_benchmark: 1355.0739, total_cost: 672800, usercpu_time_millis: 70.71, usercpu_time_millis_testing: 6.499, usercpu_time_millis_training: 64.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.7697, 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: 1346.9277, total_cost: 672800, usercpu_time_millis: 10.197, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 8.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2885.5844, mean_absolute_error: 0.2702, 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: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9768, scimark_benchmark: 1349.9993, total_cost: 672800, usercpu_time_millis: 71.399, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 68.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1008.7816, mean_absolute_error: 0.2776, 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: 0.9909, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9921, scimark_benchmark: 1346.8723, total_cost: 672800, usercpu_time_millis: 70.753, usercpu_time_millis_testing: 8.872, usercpu_time_millis_training: 61.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2404.775, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1347.3519, total_cost: 672800, usercpu_time_millis: 104.595, usercpu_time_millis_testing: 4.808, usercpu_time_millis_training: 99.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, average_cost: 16.7691, f_measure: 0.7567, kappa: 0.0067, kb_relative_information_score: -2493.0276, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1346.1747, total_cost: 669890, usercpu_time_millis: 200.562, usercpu_time_millis_testing: 7.133, usercpu_time_millis_training: 193.429,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -33.6159, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1357.7944, total_cost: 672800, usercpu_time_millis: 46.773, usercpu_time_millis_testing: 4.569, usercpu_time_millis_training: 42.204,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, average_cost: 16.5533, f_measure: 0.7615, kappa: 0.0263, kb_relative_information_score: -2548.612, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8021, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1038.1159, total_cost: 661270, usercpu_time_millis: 880.372, usercpu_time_millis_testing: 24.383, usercpu_time_millis_training: 855.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 2.9199, 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: 881.4486, total_cost: 672800, usercpu_time_millis: 72.308, usercpu_time_millis_testing: 10.298, usercpu_time_millis_training: 62.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3062.2387, mean_absolute_error: 0.2726, 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: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9815, scimark_benchmark: 894.5348, total_cost: 672800, usercpu_time_millis: 70.678, usercpu_time_millis_testing: 3.168, usercpu_time_millis_training: 67.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, average_cost: 15.5622, f_measure: 0.7778, kappa: 0.0994, kb_relative_information_score: -4237.5856, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7812, predictive_accuracy: 0.8307, prior_entropy: 0.6541, recall: 0.8307, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 950.1907, total_cost: 621680, usercpu_time_millis: 3977.879, usercpu_time_millis_testing: 32.955, usercpu_time_millis_training: 3944.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, average_cost: 15.4463, f_measure: 0.7783, kappa: 0.1038, kb_relative_information_score: -4388.2924, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.776, predictive_accuracy: 0.8281, prior_entropy: 0.6541, recall: 0.8281, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9812, scimark_benchmark: 1036.2567, total_cost: 617050, usercpu_time_millis: 8958.498, usercpu_time_millis_testing: 88.245, usercpu_time_millis_training: 8870.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, average_cost: 16.0111, f_measure: 0.7721, kappa: 0.0714, kb_relative_information_score: -3073.6608, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1026.6866, total_cost: 639610, usercpu_time_millis: 6352.638, usercpu_time_millis_testing: 50.282, usercpu_time_millis_training: 6302.356,

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