Task
Supervised Classification on ipums_la_97-small

Supervised Classification on ipums_la_97-small

Task 3517 Supervised Classification ipums_la_97-small 269 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 851.2074, usercpu_time_millis: 224090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 224080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 931.771, usercpu_time_millis: 133740, usercpu_time_millis_testing: 59000, usercpu_time_millis_training: 74740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.25, kappa: 0.0966, kb_relative_information_score: 1079.3134, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2432, predictive_accuracy: 0.2693, prior_entropy: 2.7591, recall: 0.2693, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.044, scimark_benchmark: 941.6675, usercpu_time_millis: 9490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.4062, kappa: 0.3288, kb_relative_information_score: 2575.2546, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4018, predictive_accuracy: 0.4659, prior_entropy: 2.7591, recall: 0.4659, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.066, scimark_benchmark: 974.2014, usercpu_time_millis: 854890, usercpu_time_millis_testing: 4120, usercpu_time_millis_training: 850770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.4394, kappa: 0.3572, kb_relative_information_score: 2704.4395, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4458, predictive_accuracy: 0.486, prior_entropy: 2.7591, recall: 0.486, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.8826, scimark_benchmark: 927.7147, usercpu_time_millis: 18582100, usercpu_time_millis_testing: 4472760, usercpu_time_millis_training: 14109340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 819.5729, usercpu_time_millis: 400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 819.5729, usercpu_time_millis: 370950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 930.404, usercpu_time_millis: 135280, usercpu_time_millis_testing: 52660, usercpu_time_millis_training: 82620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 934.5964, usercpu_time_millis: 110110, usercpu_time_millis_testing: 51760, usercpu_time_millis_training: 58350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.25, kappa: 0.0966, kb_relative_information_score: 1079.3134, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2432, predictive_accuracy: 0.2693, prior_entropy: 2.7591, recall: 0.2693, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.044, scimark_benchmark: 933.3455, usercpu_time_millis: 10420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.4062, kappa: 0.3288, kb_relative_information_score: 2575.2546, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4018, predictive_accuracy: 0.4659, prior_entropy: 2.7591, recall: 0.4659, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.066, scimark_benchmark: 945.6228, usercpu_time_millis: 564030, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 562650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.4288, kappa: 0.3387, kb_relative_information_score: 2680.933, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4284, predictive_accuracy: 0.4686, prior_entropy: 2.7591, recall: 0.4686, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.8914, scimark_benchmark: 933.9243, usercpu_time_millis: 8024410, usercpu_time_millis_testing: 1736810, usercpu_time_millis_training: 6287600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.4301, kappa: 0.334, kb_relative_information_score: 2651.3453, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4236, predictive_accuracy: 0.461, prior_entropy: 2.7591, recall: 0.461, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.9074, scimark_benchmark: 926.5859, usercpu_time_millis: 3854350, usercpu_time_millis_testing: 773100, usercpu_time_millis_training: 3081250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.3572, kappa: 0.2952, kb_relative_information_score: 2235.5602, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3569, predictive_accuracy: 0.4481, prior_entropy: 2.7591, recall: 0.4481, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.9078, scimark_benchmark: 936.1714, usercpu_time_millis: 770, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.0829, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1195, kb_relative_information_score: 944.1911, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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: 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: 0.8131, f_measure: 0.3078, kappa: 0.2898, kb_relative_information_score: 2043.6414, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2682, predictive_accuracy: 0.4545, prior_entropy: 2.7591, recall: 0.4545, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.903, scimark_benchmark: 941.9549, usercpu_time_millis: 19540, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 19050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.2778, kappa: 0.2772, kb_relative_information_score: 2206.2801, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, 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: 933.0918, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 907.1091, usercpu_time_millis: 400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 935.8024, usercpu_time_millis: 312560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 312550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 945.0194, usercpu_time_millis: 1760, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 922.5036, usercpu_time_millis: 1590, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.25, kappa: 0.0966, kb_relative_information_score: 1079.3134, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2432, predictive_accuracy: 0.2693, prior_entropy: 2.7591, recall: 0.2693, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.044, scimark_benchmark: 946.9304, usercpu_time_millis: 9090, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 9050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 949.7766, usercpu_time_millis: 1630, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.4062, kappa: 0.3288, kb_relative_information_score: 2575.2546, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4018, predictive_accuracy: 0.4659, prior_entropy: 2.7591, recall: 0.4659, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.066, scimark_benchmark: 942.3809, usercpu_time_millis: 576210, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 574780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.2457, kappa: 0.0947, kb_relative_information_score: 1106.314, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2494, predictive_accuracy: 0.2426, prior_entropy: 2.7591, recall: 0.2426, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.3071, scimark_benchmark: 945.988, usercpu_time_millis: 5441840, usercpu_time_millis_testing: 1004970, usercpu_time_millis_training: 4436870,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1320.1171, usercpu_time_millis: 1050, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1292.1745, usercpu_time_millis: 1560, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1330.2425, usercpu_time_millis: 1770, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1303.9481, usercpu_time_millis: 1300, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1352.9931, usercpu_time_millis: 1140, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1349.9643, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.3298, kappa: 0.2789, kb_relative_information_score: 1237.5265, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3522, predictive_accuracy: 0.4465, prior_entropy: 2.7591, recall: 0.4465, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.9364, scimark_benchmark: 1278.9821, usercpu_time_millis: 67890, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 67020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.3699, kappa: 0.2811, kb_relative_information_score: 1460.269, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4014, predictive_accuracy: 0.436, prior_entropy: 2.7591, recall: 0.436, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.9316, scimark_benchmark: 1337.3179, usercpu_time_millis: 10560, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 8910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 1322.7257, usercpu_time_millis: 1280, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.3025, kappa: 0.1997, kb_relative_information_score: 1745.6572, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3848, predictive_accuracy: 0.3028, prior_entropy: 2.7591, recall: 0.3028, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.206, scimark_benchmark: 938.0414, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 918.0213, usercpu_time_millis: 1950, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 918.0213, usercpu_time_millis: 1900, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2506, kappa: 0.218, kb_relative_information_score: 1860.5389, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.1818, predictive_accuracy: 0.4029, prior_entropy: 2.7591, recall: 0.4029, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.1976, scimark_benchmark: 1347.993, usercpu_time_millis: 164900, usercpu_time_millis_testing: 72650, usercpu_time_millis_training: 92250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.4003, kappa: 0.281, kb_relative_information_score: 2243.3635, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3974, predictive_accuracy: 0.4036, prior_entropy: 2.7591, recall: 0.4036, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.1721, scimark_benchmark: 1260.1387, usercpu_time_millis: 278060, usercpu_time_millis_testing: 5480, usercpu_time_millis_training: 272580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1329.8937, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 933.1165, usercpu_time_millis: 1750, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.3921, kappa: 0.2748, kb_relative_information_score: 2290.4365, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3883, predictive_accuracy: 0.3989, prior_entropy: 2.7591, recall: 0.3989, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3575, root_relative_squared_error: 1.1082, scimark_benchmark: 926.6704, usercpu_time_millis: 2020, usercpu_time_millis_testing: 1250, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1342.6911, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.3025, kappa: 0.1997, kb_relative_information_score: 1745.6572, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3848, predictive_accuracy: 0.3028, prior_entropy: 2.7591, recall: 0.3028, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.206, scimark_benchmark: 1354.3488, usercpu_time_millis: 240, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.25, kappa: 0.0966, kb_relative_information_score: 1079.3134, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2432, predictive_accuracy: 0.2693, prior_entropy: 2.7591, recall: 0.2693, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.044, scimark_benchmark: 1322.7383, usercpu_time_millis: 8440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.4052, kappa: 0.2895, kb_relative_information_score: 2252.0279, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4002, predictive_accuracy: 0.4119, prior_entropy: 2.7591, recall: 0.4119, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3834, root_relative_squared_error: 1.1886, scimark_benchmark: 1339.8573, usercpu_time_millis: 5920, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 5710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.3307, kappa: 0.2904, kb_relative_information_score: 2251.532, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3875, predictive_accuracy: 0.4472, prior_entropy: 2.7591, recall: 0.4472, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9112, scimark_benchmark: 1328.8457, usercpu_time_millis: 464630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 464620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.3706, kappa: 0.3157, kb_relative_information_score: 2461.8765, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3517, predictive_accuracy: 0.4623, prior_entropy: 2.7591, recall: 0.4623, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.892, scimark_benchmark: 1320.9026, usercpu_time_millis: 194860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 194850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.3026, kappa: 0.2886, kb_relative_information_score: 2320.901, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.2673, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.292, root_relative_squared_error: 0.9052, scimark_benchmark: 1315.933, usercpu_time_millis: 161320, usercpu_time_millis_testing: 161320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 922.1419, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.4062, kappa: 0.3288, kb_relative_information_score: 2575.2546, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.4018, predictive_accuracy: 0.4659, prior_entropy: 2.7591, recall: 0.4659, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3439, root_relative_squared_error: 1.066, scimark_benchmark: 1349.9741, usercpu_time_millis: 775220, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 771050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.3025, kappa: 0.1997, kb_relative_information_score: 1745.6572, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3848, predictive_accuracy: 0.3028, prior_entropy: 2.7591, recall: 0.3028, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.3891, root_relative_squared_error: 1.206, scimark_benchmark: 937.1527, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.3376, kappa: 0.297, kb_relative_information_score: 2403.1867, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2082, number_of_instances: 7019, precision: 0.3157, predictive_accuracy: 0.4538, prior_entropy: 2.7591, recall: 0.4538, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3226, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9098, scimark_benchmark: 1314.7093, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,

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