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Supervised Classification on ipums_la_97-small

Supervised Classification on ipums_la_97-small

Task 4222 Supervised Classification ipums_la_97-small 165 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.3378, kappa: 0.2983, kb_relative_information_score: 24000.8411, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3713, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9088, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.376, kappa: 0.3197, kb_relative_information_score: 24585.3758, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3561, predictive_accuracy: 0.4645, prior_entropy: 2.7591, recall: 0.4645, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8924, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.2181, kb_relative_information_score: 18609.6099, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.1819, predictive_accuracy: 0.403, prior_entropy: 2.7591, recall: 0.403, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.1976, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 941.6675, usercpu_time_millis: 1720, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.2488, kappa: 0.0942, kb_relative_information_score: 10732.9838, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2423, predictive_accuracy: 0.268, prior_entropy: 2.7591, recall: 0.268, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0443, scimark_benchmark: 938.191, usercpu_time_millis: 9370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.4401, kappa: 0.3594, kb_relative_information_score: 27290.3141, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4469, predictive_accuracy: 0.4881, prior_entropy: 2.7591, recall: 0.4881, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.8801, scimark_benchmark: 943.8235, usercpu_time_millis: 15394050, usercpu_time_millis_testing: 3006660, usercpu_time_millis_training: 12387390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.2181, kb_relative_information_score: 18609.6099, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.1819, predictive_accuracy: 0.403, prior_entropy: 2.7591, recall: 0.403, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.1976, scimark_benchmark: 947.1781, usercpu_time_millis: 139460, usercpu_time_millis_testing: 49350, usercpu_time_millis_training: 90110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.4361, kappa: 0.3488, kb_relative_information_score: 27015.1001, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4364, predictive_accuracy: 0.477, prior_entropy: 2.7591, recall: 0.477, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.889, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 974.2014, usercpu_time_millis: 2270, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.4268, kappa: 0.3304, kb_relative_information_score: 26515.114, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4195, predictive_accuracy: 0.4582, prior_entropy: 2.7591, recall: 0.4582, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.9075, scimark_benchmark: 897.2862, usercpu_time_millis: 3866630, usercpu_time_millis_testing: 802150, usercpu_time_millis_training: 3064480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.3378, kappa: 0.2983, kb_relative_information_score: 24000.8411, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3713, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9088, scimark_benchmark: 942.2392, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.376, kappa: 0.3197, kb_relative_information_score: 24585.3758, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3561, predictive_accuracy: 0.4645, prior_entropy: 2.7591, recall: 0.4645, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8924, scimark_benchmark: 608.4057, usercpu_time_millis: 411320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 411310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.305, kappa: 0.2025, kb_relative_information_score: 17620.2248, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3882, predictive_accuracy: 0.305, prior_entropy: 2.7591, recall: 0.305, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.2041, scimark_benchmark: 938.1282, usercpu_time_millis: 240, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 938.1282, usercpu_time_millis: 1790, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 938.1282, usercpu_time_millis: 1620, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 903.2737, usercpu_time_millis: 1950, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.2488, kappa: 0.0942, kb_relative_information_score: 10732.9838, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2423, predictive_accuracy: 0.268, prior_entropy: 2.7591, recall: 0.268, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0443, scimark_benchmark: 930.404, usercpu_time_millis: 10010, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 9970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.3992, kappa: 0.3197, kb_relative_information_score: 25421.7736, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3995, predictive_accuracy: 0.4591, prior_entropy: 2.7591, recall: 0.4591, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0707, scimark_benchmark: 943.6618, usercpu_time_millis: 560210, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 558930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.3757, kappa: 0.2878, kb_relative_information_score: 14853.3137, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4094, predictive_accuracy: 0.4412, prior_entropy: 2.7591, recall: 0.4412, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3, root_relative_squared_error: 0.93, scimark_benchmark: 1051.249, usercpu_time_millis: 19260, usercpu_time_millis_testing: 3210, usercpu_time_millis_training: 16050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.3565, kappa: 0.2941, kb_relative_information_score: 22245.4065, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3567, predictive_accuracy: 0.4473, prior_entropy: 2.7591, recall: 0.4473, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.907, scimark_benchmark: 936.1714, usercpu_time_millis: 790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 22061.6026, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 22061.6026, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 22061.6026, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 22061.6026, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 22061.6026, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1195, kb_relative_information_score: 9441.911, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.0762, predictive_accuracy: 0.2761, prior_entropy: 2.7591, recall: 0.2761, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4254, root_relative_squared_error: 1.3187, scimark_benchmark: 922.8232, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.3267, kappa: 0.3005, kb_relative_information_score: 20740.4206, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2865, predictive_accuracy: 0.4617, prior_entropy: 2.7591, recall: 0.4617, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.291, root_relative_squared_error: 0.902, scimark_benchmark: 926.5859, usercpu_time_millis: 18570, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 18050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 22064.5963, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2021, predictive_accuracy: 0.4458, prior_entropy: 2.7591, recall: 0.4458, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9121, scimark_benchmark: 933.0918, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.3378, kappa: 0.2983, kb_relative_information_score: 24000.8411, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3713, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9088, scimark_benchmark: 926.4745, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.376, kappa: 0.3197, kb_relative_information_score: 24585.3758, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3561, predictive_accuracy: 0.4645, prior_entropy: 2.7591, recall: 0.4645, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8924, scimark_benchmark: 934.929, usercpu_time_millis: 283060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 283050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.2181, kb_relative_information_score: 18609.6099, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.1819, predictive_accuracy: 0.403, prior_entropy: 2.7591, recall: 0.403, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.1976, scimark_benchmark: 946.8777, usercpu_time_millis: 114140, usercpu_time_millis_testing: 55830, usercpu_time_millis_training: 58310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.2181, kb_relative_information_score: 18609.6099, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.1819, predictive_accuracy: 0.403, prior_entropy: 2.7591, recall: 0.403, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.1976, scimark_benchmark: 952.4682, usercpu_time_millis: 198990, usercpu_time_millis_testing: 78180, usercpu_time_millis_training: 120810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.305, kappa: 0.2025, kb_relative_information_score: 17620.2248, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3882, predictive_accuracy: 0.305, prior_entropy: 2.7591, recall: 0.305, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.2041, scimark_benchmark: 945.0194, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 1338.5214, usercpu_time_millis: 1430, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 1321.8321, usercpu_time_millis: 1350, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 1374.9737, usercpu_time_millis: 1330, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.376, kappa: 0.3197, kb_relative_information_score: 24585.3758, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3561, predictive_accuracy: 0.4645, prior_entropy: 2.7591, recall: 0.4645, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8924, scimark_benchmark: 1352.9101, usercpu_time_millis: 206000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 205990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.3016, kappa: 0.2875, kb_relative_information_score: 23207.4783, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2644, predictive_accuracy: 0.4529, prior_entropy: 2.7591, recall: 0.4529, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.292, root_relative_squared_error: 0.9053, scimark_benchmark: 1327.5201, usercpu_time_millis: 160970, usercpu_time_millis_testing: 160960, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.4046, kappa: 0.2857, kb_relative_information_score: 22760.979, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4025, predictive_accuracy: 0.4069, prior_entropy: 2.7591, recall: 0.4069, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3776, root_relative_squared_error: 1.1704, scimark_benchmark: 1339.5666, usercpu_time_millis: 301000, usercpu_time_millis_testing: 5490, usercpu_time_millis_training: 295510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.2181, kb_relative_information_score: 18609.6099, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.1819, predictive_accuracy: 0.403, prior_entropy: 2.7591, recall: 0.403, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.1976, scimark_benchmark: 1314.2279, usercpu_time_millis: 182530, usercpu_time_millis_testing: 78290, usercpu_time_millis_training: 104240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.3757, kappa: 0.2878, kb_relative_information_score: 14853.3137, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4094, predictive_accuracy: 0.4412, prior_entropy: 2.7591, recall: 0.4412, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3, root_relative_squared_error: 0.93, scimark_benchmark: 1286.0816, usercpu_time_millis: 14470, usercpu_time_millis_testing: 1890, usercpu_time_millis_training: 12580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 1335.2357, usercpu_time_millis: 1240, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.305, kappa: 0.2025, kb_relative_information_score: 17620.2248, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3882, predictive_accuracy: 0.305, prior_entropy: 2.7591, recall: 0.305, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.2041, scimark_benchmark: 1335.2021, usercpu_time_millis: 220, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.3378, kappa: 0.2983, kb_relative_information_score: 24000.8411, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3713, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9088, scimark_benchmark: 1348.2804, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.3875, kappa: 0.2685, kb_relative_information_score: 22741.0463, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3837, predictive_accuracy: 0.3939, prior_entropy: 2.7591, recall: 0.3939, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3582, root_relative_squared_error: 1.1104, scimark_benchmark: 1347.993, usercpu_time_millis: 1310, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.3992, kappa: 0.3197, kb_relative_information_score: 25421.7736, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3995, predictive_accuracy: 0.4591, prior_entropy: 2.7591, recall: 0.4591, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3454, root_relative_squared_error: 1.0707, scimark_benchmark: 929.0363, usercpu_time_millis: 576480, usercpu_time_millis_testing: 1410, usercpu_time_millis_training: 575070,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.3757, kappa: 0.2878, kb_relative_information_score: 14853.3137, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4094, predictive_accuracy: 0.4412, prior_entropy: 2.7591, recall: 0.4412, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3, root_relative_squared_error: 0.93, scimark_benchmark: 1281.7531, usercpu_time_millis: 15940, usercpu_time_millis_testing: 2660, usercpu_time_millis_training: 13280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.305, kappa: 0.2025, kb_relative_information_score: 17620.2248, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3882, predictive_accuracy: 0.305, prior_entropy: 2.7591, recall: 0.305, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.2041, scimark_benchmark: 1348.2476, usercpu_time_millis: 240, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.305, kappa: 0.2025, kb_relative_information_score: 17620.2248, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3882, predictive_accuracy: 0.305, prior_entropy: 2.7591, recall: 0.305, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.2041, scimark_benchmark: 938.0414, usercpu_time_millis: 240, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.305, kappa: 0.2025, kb_relative_information_score: 17620.2248, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3882, predictive_accuracy: 0.305, prior_entropy: 2.7591, recall: 0.305, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.2041, scimark_benchmark: 1315.933, usercpu_time_millis: 230, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.3378, kappa: 0.2983, kb_relative_information_score: 24000.8411, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3713, predictive_accuracy: 0.4548, prior_entropy: 2.7591, recall: 0.4548, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9088, scimark_benchmark: 1329.8902, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.3456, kappa: 0.2113, kb_relative_information_score: 17747.7263, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3554, predictive_accuracy: 0.3392, prior_entropy: 2.7591, recall: 0.3392, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.2535, scimark_benchmark: 1322.7383, usercpu_time_millis: 8138940, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 8138400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.3757, kappa: 0.2878, kb_relative_information_score: 14853.3137, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.4094, predictive_accuracy: 0.4412, prior_entropy: 2.7591, recall: 0.4412, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3, root_relative_squared_error: 0.93, scimark_benchmark: 1312.0581, usercpu_time_millis: 14560, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 12620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.252, kappa: 0.0986, kb_relative_information_score: 10816.8896, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.2459, predictive_accuracy: 0.2739, prior_entropy: 2.7591, recall: 0.2739, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3343, root_relative_squared_error: 1.0361, scimark_benchmark: 1354.7191, usercpu_time_millis: 147440, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 146930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.3901, kappa: 0.3255, kb_relative_information_score: 24782.6137, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3892, predictive_accuracy: 0.4681, prior_entropy: 2.7591, recall: 0.4681, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.89, scimark_benchmark: 1119.7102, usercpu_time_millis: 407820, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 406390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.376, kappa: 0.3197, kb_relative_information_score: 24585.3758, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2082, number_of_instances: 70190, precision: 0.3561, predictive_accuracy: 0.4645, prior_entropy: 2.7591, recall: 0.4645, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8924, scimark_benchmark: 942.2229, usercpu_time_millis: 284330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 284320,

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