Task
Supervised Classification on analcatdata_marketing

Supervised Classification on analcatdata_marketing

Task 4268 Supervised Classification analcatdata_marketing 167 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.4963, kappa: 0.1249, kb_relative_information_score: 602.7414, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4859, predictive_accuracy: 0.5122, prior_entropy: 1.6141, recall: 0.5122, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3532, root_relative_squared_error: 1.0287, scimark_benchmark: 934.3687, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5404, kappa: 0.2029, kb_relative_information_score: 764.7287, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5283, predictive_accuracy: 0.5765, prior_entropy: 1.6141, recall: 0.5765, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9595, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 941.3847, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5213, kappa: 0.1969, kb_relative_information_score: 733.971, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5258, predictive_accuracy: 0.5221, prior_entropy: 1.6141, recall: 0.5221, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.1043, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.4835, kappa: 0.0928, kb_relative_information_score: 520.8254, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4666, predictive_accuracy: 0.5616, prior_entropy: 1.6141, recall: 0.5616, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9577, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.4963, kappa: 0.1249, kb_relative_information_score: 602.7414, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4859, predictive_accuracy: 0.5122, prior_entropy: 1.6141, recall: 0.5122, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3532, root_relative_squared_error: 1.0287, scimark_benchmark: 938.1282, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 906.0979, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5404, kappa: 0.2029, kb_relative_information_score: 764.7287, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5283, predictive_accuracy: 0.5765, prior_entropy: 1.6141, recall: 0.5765, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9595, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.4835, kappa: 0.0928, kb_relative_information_score: 520.8254, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4666, predictive_accuracy: 0.5616, prior_entropy: 1.6141, recall: 0.5616, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9577, scimark_benchmark: 936.9595, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.4947, kappa: 0.1159, kb_relative_information_score: 579.6206, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.499, predictive_accuracy: 0.5586, prior_entropy: 1.6141, recall: 0.5586, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.9564, scimark_benchmark: 904.5548, usercpu_time_millis: 27320, usercpu_time_millis_testing: 5910, usercpu_time_millis_training: 21410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.4963, kappa: 0.1187, kb_relative_information_score: 587.0497, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4933, predictive_accuracy: 0.5577, prior_entropy: 1.6141, recall: 0.5577, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.9579, scimark_benchmark: 933.4823, usercpu_time_millis: 13540, usercpu_time_millis_testing: 3220, usercpu_time_millis_training: 10320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.5089, kappa: 0.1393, kb_relative_information_score: 592.6867, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5104, predictive_accuracy: 0.5635, prior_entropy: 1.6141, recall: 0.5635, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.9618, scimark_benchmark: 938.8535, usercpu_time_millis: 6930, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.512, kappa: 0.1427, kb_relative_information_score: 577.9533, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5033, predictive_accuracy: 0.5583, prior_entropy: 1.6141, recall: 0.5583, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9751, scimark_benchmark: 903.179, usercpu_time_millis: 3650, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.5156, kappa: 0.1503, kb_relative_information_score: 607.1462, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5022, predictive_accuracy: 0.5533, prior_entropy: 1.6141, recall: 0.5533, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.9898, scimark_benchmark: 935.6052, usercpu_time_millis: 1650, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4859, f_measure: 0.403, kb_relative_information_score: 1.4609, mean_absolute_error: 0.2371, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3434, root_relative_squared_error: 1.0001, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.421, kappa: 0.0403, kb_relative_information_score: -47.7478, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3403, predictive_accuracy: 0.5696, prior_entropy: 1.6141, recall: 0.5696, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.041, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.421, kappa: 0.0403, kb_relative_information_score: -47.7478, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3403, predictive_accuracy: 0.5696, prior_entropy: 1.6141, recall: 0.5696, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.041, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.421, kappa: 0.0403, kb_relative_information_score: -47.7478, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3403, predictive_accuracy: 0.5696, prior_entropy: 1.6141, recall: 0.5696, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.041, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.421, kappa: 0.0403, kb_relative_information_score: -47.7478, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3403, predictive_accuracy: 0.5696, prior_entropy: 1.6141, recall: 0.5696, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.041, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.423, kappa: 0.0411, kb_relative_information_score: -41.8799, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4195, predictive_accuracy: 0.5688, prior_entropy: 1.6141, recall: 0.5688, relative_absolute_error: 1.0834, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.0393, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.5461, kappa: 0.2151, kb_relative_information_score: 704.9567, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5289, predictive_accuracy: 0.5859, prior_entropy: 1.6141, recall: 0.5859, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.9695, scimark_benchmark: 942.6192, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.5154, kappa: 0.1743, kb_relative_information_score: 161.7197, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5057, predictive_accuracy: 0.5334, prior_entropy: 1.6141, recall: 0.5334, relative_absolute_error: 1.0841, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3484, root_relative_squared_error: 1.0148, scimark_benchmark: 906.0884, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.4072, kappa: 0.0033, kb_relative_information_score: 198.8324, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4137, predictive_accuracy: 0.5602, prior_entropy: 1.6141, recall: 0.5602, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.9896, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.4963, kappa: 0.1249, kb_relative_information_score: 602.7414, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4859, predictive_accuracy: 0.5122, prior_entropy: 1.6141, recall: 0.5122, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3532, root_relative_squared_error: 1.0287, scimark_benchmark: 942.6192, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 945.988, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 939.3886, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5404, kappa: 0.2029, kb_relative_information_score: 764.7287, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5283, predictive_accuracy: 0.5765, prior_entropy: 1.6141, recall: 0.5765, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9595, scimark_benchmark: 938.838, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.4835, kappa: 0.0928, kb_relative_information_score: 520.8254, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4666, predictive_accuracy: 0.5616, prior_entropy: 1.6141, recall: 0.5616, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9577, scimark_benchmark: 879.4299, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5404, kappa: 0.2029, kb_relative_information_score: 764.7287, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5283, predictive_accuracy: 0.5765, prior_entropy: 1.6141, recall: 0.5765, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9595, scimark_benchmark: 1335.2021, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.403, kb_relative_information_score: 701.9677, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.3145, predictive_accuracy: 0.5608, prior_entropy: 1.6141, recall: 0.5608, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.2207, scimark_benchmark: 1322.8636, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5213, kappa: 0.1969, kb_relative_information_score: 733.971, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5258, predictive_accuracy: 0.5221, prior_entropy: 1.6141, recall: 0.5221, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.1043, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.459, kappa: 0.0563, kb_relative_information_score: 497.747, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4479, predictive_accuracy: 0.4765, prior_entropy: 1.6141, recall: 0.4765, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.2061, scimark_benchmark: 1325.5735, usercpu_time_millis: 3410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.4835, kappa: 0.0928, kb_relative_information_score: 520.8254, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4666, predictive_accuracy: 0.5616, prior_entropy: 1.6141, recall: 0.5616, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9577, scimark_benchmark: 1347.993, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5213, kappa: 0.1969, kb_relative_information_score: 733.971, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5258, predictive_accuracy: 0.5221, prior_entropy: 1.6141, recall: 0.5221, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.1043, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 1297.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.459, kappa: 0.0563, kb_relative_information_score: 497.747, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4479, predictive_accuracy: 0.4765, prior_entropy: 1.6141, recall: 0.4765, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.2061, scimark_benchmark: 940.3347, usercpu_time_millis: 3230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.4835, kappa: 0.0928, kb_relative_information_score: 520.8254, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4666, predictive_accuracy: 0.5616, prior_entropy: 1.6141, recall: 0.5616, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9577, scimark_benchmark: 1322.7257, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.5066, kappa: 0.1539, kb_relative_information_score: 664.0164, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5073, predictive_accuracy: 0.508, prior_entropy: 1.6141, recall: 0.508, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.396, root_relative_squared_error: 1.1533, scimark_benchmark: 1337.7947, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.4542, kappa: 0.0729, kb_relative_information_score: 439.6402, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4443, predictive_accuracy: 0.5677, prior_entropy: 1.6141, recall: 0.5677, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9739, scimark_benchmark: 1384.4422, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5213, kappa: 0.1969, kb_relative_information_score: 733.971, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5258, predictive_accuracy: 0.5221, prior_entropy: 1.6141, recall: 0.5221, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.1043, scimark_benchmark: 1348.2476, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.459, kappa: 0.0563, kb_relative_information_score: 497.747, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.4479, predictive_accuracy: 0.4765, prior_entropy: 1.6141, recall: 0.4765, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.2061, scimark_benchmark: 938.0414, usercpu_time_millis: 3280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5213, kappa: 0.1969, kb_relative_information_score: 733.971, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5258, predictive_accuracy: 0.5221, prior_entropy: 1.6141, recall: 0.5221, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.1043, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5404, kappa: 0.2029, kb_relative_information_score: 764.7287, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5283, predictive_accuracy: 0.5765, prior_entropy: 1.6141, recall: 0.5765, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9595, scimark_benchmark: 1322.7383, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.5213, kappa: 0.1969, kb_relative_information_score: 733.971, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5258, predictive_accuracy: 0.5221, prior_entropy: 1.6141, recall: 0.5221, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.1043, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.517, kappa: 0.1694, kb_relative_information_score: 691.3602, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5108, predictive_accuracy: 0.5276, prior_entropy: 1.6141, recall: 0.5276, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0918, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.5171, kappa: 0.1634, kb_relative_information_score: 687.7634, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5079, predictive_accuracy: 0.5315, prior_entropy: 1.6141, recall: 0.5315, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3624, root_relative_squared_error: 1.0554, scimark_benchmark: 909.1698, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.5039, kappa: 0.1567, kb_relative_information_score: 677.5145, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.2369, number_of_instances: 3620, precision: 0.5005, predictive_accuracy: 0.5097, prior_entropy: 1.6141, recall: 0.5097, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3434, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.1192, scimark_benchmark: 1357.483, usercpu_time_millis: 5200, usercpu_time_millis_testing: 5200,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs