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: 0.7013, average_cost: 16.3545, f_measure: 0.7657, kappa: 0.0439, kb_relative_information_score: -1982.3698, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8035, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9593, scimark_benchmark: 1821.8751, total_cost: 653330, usercpu_time_millis: 427.471, usercpu_time_millis_testing: 12.685, usercpu_time_millis_training: 414.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, average_cost: 16.2599, f_measure: 0.7675, kappa: 0.0515, kb_relative_information_score: -2184.8623, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9597, scimark_benchmark: 1840.7617, total_cost: 649550, usercpu_time_millis: 375.663, usercpu_time_millis_testing: 8.893, usercpu_time_millis_training: 366.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, average_cost: 16.5185, f_measure: 0.7621, kappa: 0.0291, kb_relative_information_score: -2275.3444, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1820.9266, total_cost: 659880, usercpu_time_millis: 307.207, usercpu_time_millis_testing: 4.802, usercpu_time_millis_training: 302.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, average_cost: 16.7107, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2453.4663, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1857.5664, total_cost: 667560, usercpu_time_millis: 323.034, usercpu_time_millis_testing: 8.425, usercpu_time_millis_training: 314.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, average_cost: 16.6309, f_measure: 0.7599, kappa: 0.0197, kb_relative_information_score: -2349.745, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8115, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9646, scimark_benchmark: 1846.5018, total_cost: 664370, usercpu_time_millis: 287.639, usercpu_time_millis_testing: 13.876, usercpu_time_millis_training: 273.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, average_cost: 16.0421, f_measure: 0.7716, kappa: 0.0694, kb_relative_information_score: -2329.0073, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1836.2249, total_cost: 640850, usercpu_time_millis: 218.992, usercpu_time_millis_testing: 3.669, usercpu_time_millis_training: 215.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, average_cost: 16.6103, f_measure: 0.7602, kappa: 0.0212, kb_relative_information_score: -2468.0538, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1765.7176, total_cost: 663550, usercpu_time_millis: 247.751, usercpu_time_millis_testing: 8.053, usercpu_time_millis_training: 239.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2648.6748, mean_absolute_error: 0.2706, 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: 0.9661, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9765, scimark_benchmark: 1842.8155, total_cost: 672800, usercpu_time_millis: 220.329, usercpu_time_millis_testing: 12.144, usercpu_time_millis_training: 208.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, average_cost: 16.3287, f_measure: 0.7662, kappa: 0.0461, kb_relative_information_score: -2088.2526, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8033, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.359, root_relative_squared_error: 0.9592, scimark_benchmark: 1848.8886, total_cost: 652300, usercpu_time_millis: 186.834, usercpu_time_millis_testing: 6.739, usercpu_time_millis_training: 180.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, average_cost: 16.8349, f_measure: 0.7553, kappa: 0.0006, kb_relative_information_score: -1821.0936, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.968, scimark_benchmark: 1834.7531, total_cost: 672520, usercpu_time_millis: 198.342, usercpu_time_millis_testing: 11.879, usercpu_time_millis_training: 186.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, average_cost: 16.3049, f_measure: 0.7665, kappa: 0.0476, kb_relative_information_score: -2103.338, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1841.6688, total_cost: 651350, usercpu_time_millis: 176.78, usercpu_time_millis_testing: 3.114, usercpu_time_millis_training: 173.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, average_cost: 16.7105, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -2382.0844, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7788, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1858.6775, total_cost: 667550, usercpu_time_millis: 132.95, usercpu_time_millis_testing: 2.328, usercpu_time_millis_training: 130.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, average_cost: 16.8066, f_measure: 0.7559, kappa: 0.0033, kb_relative_information_score: -2576, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9698, scimark_benchmark: 1858.6775, total_cost: 671390, usercpu_time_millis: 121.099, usercpu_time_millis_testing: 7.424, usercpu_time_millis_training: 113.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1942.6267, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1857.5664, total_cost: 672800, usercpu_time_millis: 114.375, usercpu_time_millis_testing: 8.632, usercpu_time_millis_training: 105.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, average_cost: 16.126, f_measure: 0.7702, kappa: 0.0631, kb_relative_information_score: -3464.8155, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1855.4813, total_cost: 644200, usercpu_time_millis: 99.139, usercpu_time_millis_testing: 5.148, usercpu_time_millis_training: 93.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2733.358, mean_absolute_error: 0.2733, 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: 0.9757, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1844.3569, total_cost: 672800, usercpu_time_millis: 112.234, usercpu_time_millis_testing: 7.522, usercpu_time_millis_training: 104.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, average_cost: 16.6899, f_measure: 0.7583, kappa: 0.0132, kb_relative_information_score: -2451.0714, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7793, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1771.7589, total_cost: 666730, usercpu_time_millis: 95.73, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 94.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, average_cost: 16.1375, f_measure: 0.7698, kappa: 0.0616, kb_relative_information_score: -2622.2571, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1821.4321, total_cost: 644660, usercpu_time_millis: 26.024, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 25.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, average_cost: 16.6184, f_measure: 0.76, kappa: 0.0203, kb_relative_information_score: -2477.4299, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1842.8772, total_cost: 663870, usercpu_time_millis: 10.499, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 10.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3252.2947, 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: 0.9736, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1859.1356, total_cost: 672800, usercpu_time_millis: 21.612, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 20.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2399.4416, mean_absolute_error: 0.268, 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: 0.9567, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1852.4707, total_cost: 672800, usercpu_time_millis: 27.869, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 26.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -38.4757, 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: 1857.5664, total_cost: 672800, usercpu_time_millis: 11.044, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 10.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3.9735, 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: 1859.1356, total_cost: 672800, usercpu_time_millis: 23.663, usercpu_time_millis_testing: 3.918, usercpu_time_millis_training: 19.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, average_cost: 16.5878, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2042.9182, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8114, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1912.5585, total_cost: 662650, usercpu_time_millis: 487.984, usercpu_time_millis_testing: 17.301, usercpu_time_millis_training: 470.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, average_cost: 16.4266, f_measure: 0.7641, kappa: 0.0374, kb_relative_information_score: -2146.1263, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.961, scimark_benchmark: 1850.9652, total_cost: 656210, usercpu_time_millis: 448.578, usercpu_time_millis_testing: 10.169, usercpu_time_millis_training: 438.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1861.0488, mean_absolute_error: 0.268, 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: 0.9566, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1857.5664, total_cost: 672800, usercpu_time_millis: 263.381, usercpu_time_millis_testing: 15.909, usercpu_time_millis_training: 247.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, average_cost: 16.5725, f_measure: 0.7611, kappa: 0.0248, kb_relative_information_score: -2460.4081, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8073, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9643, scimark_benchmark: 1862.0186, total_cost: 662040, usercpu_time_millis: 292.516, usercpu_time_millis_testing: 12.737, usercpu_time_millis_training: 279.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, average_cost: 16.5788, f_measure: 0.7609, kappa: 0.0241, kb_relative_information_score: -2525.631, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1857.5664, total_cost: 662290, usercpu_time_millis: 255.229, usercpu_time_millis_testing: 9.574, usercpu_time_millis_training: 245.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, average_cost: 16.7325, f_measure: 0.7577, kappa: 0.0104, kb_relative_information_score: -1732.1395, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8229, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1854.4951, total_cost: 668430, usercpu_time_millis: 240.321, usercpu_time_millis_testing: 12.515, usercpu_time_millis_training: 227.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, average_cost: 16.7876, f_measure: 0.7563, kappa: 0.005, kb_relative_information_score: -2168.8282, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1817.4733, total_cost: 670630, usercpu_time_millis: 254.089, usercpu_time_millis_testing: 9.072, usercpu_time_millis_training: 245.017,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2554.3656, mean_absolute_error: 0.2676, 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: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1814.6935, total_cost: 672800, usercpu_time_millis: 198.863, usercpu_time_millis_testing: 10.959, usercpu_time_millis_training: 187.904,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, average_cost: 16.698, f_measure: 0.758, kappa: 0.0121, kb_relative_information_score: -2625.825, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7706, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.969, scimark_benchmark: 1938.9431, total_cost: 667050, usercpu_time_millis: 60.781, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 59.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, average_cost: 16.8376, f_measure: 0.7552, kappa: 0.0003, kb_relative_information_score: -1914.3277, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7589, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1872.1963, total_cost: 672630, usercpu_time_millis: 180.426, usercpu_time_millis_testing: 13.773, usercpu_time_millis_training: 166.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2371.7949, mean_absolute_error: 0.2683, 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: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9716, scimark_benchmark: 1952.5584, total_cost: 672800, usercpu_time_millis: 200.621, usercpu_time_millis_testing: 11.471, usercpu_time_millis_training: 189.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2826.4556, mean_absolute_error: 0.2697, 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: 0.9629, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.976, scimark_benchmark: 1728.8265, total_cost: 672800, usercpu_time_millis: 135.643, usercpu_time_millis_testing: 7.228, usercpu_time_millis_training: 128.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, average_cost: 16.5903, f_measure: 0.7607, kappa: 0.0231, kb_relative_information_score: -2501.8075, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8041, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9658, scimark_benchmark: 1895.1422, total_cost: 662750, usercpu_time_millis: 28.984, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 27.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2395.5758, 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: 0.9612, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1943.286, total_cost: 672800, usercpu_time_millis: 28.797, usercpu_time_millis_testing: 2.201, usercpu_time_millis_training: 26.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2336.451, mean_absolute_error: 0.2663, 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: 0.9508, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1832.1165, total_cost: 672800, usercpu_time_millis: 277.056, usercpu_time_millis_testing: 13.857, usercpu_time_millis_training: 263.199,

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