Task
Supervised Classification on ipums_la_98-small

Supervised Classification on ipums_la_98-small

Task 4221 Supervised Classification ipums_la_98-small 124 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7509, kappa: 0.5924, kb_relative_information_score: 43250.444, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7806, predictive_accuracy: 0.7751, prior_entropy: 1.7643, recall: 0.7751, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6841, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.7323, kappa: 0.5715, kb_relative_information_score: 35012.3801, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7117, predictive_accuracy: 0.7653, prior_entropy: 1.7643, recall: 0.7653, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7472, scimark_benchmark: 608.4057, usercpu_time_millis: 6342950, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 6341910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.787, kappa: 0.6324, kb_relative_information_score: 47689.6667, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7888, predictive_accuracy: 0.7958, prior_entropy: 1.7643, recall: 0.7958, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6503, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 904.6764, usercpu_time_millis: 92760, usercpu_time_millis_testing: 29920, usercpu_time_millis_training: 62840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 944.1067, usercpu_time_millis: 91290, usercpu_time_millis_testing: 28780, usercpu_time_millis_training: 62510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.4951, kappa: 0.0152, kb_relative_information_score: 3217.9923, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4521, predictive_accuracy: 0.5658, prior_entropy: 1.7643, recall: 0.5658, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0736, scimark_benchmark: 941.6675, usercpu_time_millis: 26420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 26390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7897, kappa: 0.6265, kb_relative_information_score: 43402.0553, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7908, predictive_accuracy: 0.7915, prior_entropy: 1.7643, recall: 0.7915, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.759, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.5656, kappa: 0.1655, kb_relative_information_score: 23056.6387, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.5524, predictive_accuracy: 0.6678, prior_entropy: 1.7643, recall: 0.6678, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8197, scimark_benchmark: 974.2014, usercpu_time_millis: 12960, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 12230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7509, kappa: 0.5924, kb_relative_information_score: 43250.444, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7806, predictive_accuracy: 0.7751, prior_entropy: 1.7643, recall: 0.7751, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6841, scimark_benchmark: 942.2392, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.787, kappa: 0.6324, kb_relative_information_score: 47689.6667, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7888, predictive_accuracy: 0.7958, prior_entropy: 1.7643, recall: 0.7958, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6503, scimark_benchmark: 938.1282, usercpu_time_millis: 582750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 582740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 908.9569, usercpu_time_millis: 176830, usercpu_time_millis_testing: 38410, usercpu_time_millis_training: 138420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 930.404, usercpu_time_millis: 84760, usercpu_time_millis_testing: 32330, usercpu_time_millis_training: 52430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.4951, kappa: 0.0152, kb_relative_information_score: 3217.9923, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4521, predictive_accuracy: 0.5658, prior_entropy: 1.7643, recall: 0.5658, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0736, scimark_benchmark: 941.4991, usercpu_time_millis: 30140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7897, kappa: 0.6265, kb_relative_information_score: 43402.0553, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7908, predictive_accuracy: 0.7915, prior_entropy: 1.7643, recall: 0.7915, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.759, scimark_benchmark: 1051.249, usercpu_time_millis: 325790, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 323260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.7783, kappa: 0.6097, kb_relative_information_score: 44525.6101, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7773, predictive_accuracy: 0.7828, prior_entropy: 1.7643, recall: 0.7828, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6776, scimark_benchmark: 936.1714, usercpu_time_millis: 690, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 2330.1084, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 2330.1084, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 2330.1084, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 941.9549, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 2330.1084, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 2330.1084, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 940.0055, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.7495, kappa: 0.5867, kb_relative_information_score: 39995.8972, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7641, predictive_accuracy: 0.7722, prior_entropy: 1.7643, recall: 0.7722, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6851, scimark_benchmark: 926.5859, usercpu_time_millis: 2840, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 2380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.7792, kappa: 0.6122, kb_relative_information_score: 41576.6723, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.781, predictive_accuracy: 0.7838, prior_entropy: 1.7643, recall: 0.7838, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7862, scimark_benchmark: 905.2109, usercpu_time_millis: 128495450, usercpu_time_millis_testing: 128495090, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 39937.693, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.7032, scimark_benchmark: 933.0918, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7509, kappa: 0.5924, kb_relative_information_score: 43250.444, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7806, predictive_accuracy: 0.7751, prior_entropy: 1.7643, recall: 0.7751, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6841, scimark_benchmark: 926.4745, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.787, kappa: 0.6324, kb_relative_information_score: 47689.6667, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7888, predictive_accuracy: 0.7958, prior_entropy: 1.7643, recall: 0.7958, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6503, scimark_benchmark: 893.6798, usercpu_time_millis: 500200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 500180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 939.3886, usercpu_time_millis: 79280, usercpu_time_millis_testing: 28380, usercpu_time_millis_training: 50900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 944.5341, usercpu_time_millis: 67100, usercpu_time_millis_testing: 25950, usercpu_time_millis_training: 41150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.4951, kappa: 0.0152, kb_relative_information_score: 3217.9923, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4521, predictive_accuracy: 0.5658, prior_entropy: 1.7643, recall: 0.5658, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0736, scimark_benchmark: 946.9304, usercpu_time_millis: 25070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 25050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.7897, kappa: 0.6265, kb_relative_information_score: 43402.0553, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7908, predictive_accuracy: 0.7915, prior_entropy: 1.7643, recall: 0.7915, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.759, scimark_benchmark: 901.8743, usercpu_time_millis: 188400, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 187660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7509, kappa: 0.5924, kb_relative_information_score: 43250.444, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7806, predictive_accuracy: 0.7751, prior_entropy: 1.7643, recall: 0.7751, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6841, scimark_benchmark: 901.8743, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 1322.0065, usercpu_time_millis: 141760, usercpu_time_millis_testing: 60470, usercpu_time_millis_training: 81290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.4951, kappa: 0.0152, kb_relative_information_score: 3217.9923, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4521, predictive_accuracy: 0.5658, prior_entropy: 1.7643, recall: 0.5658, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0736, scimark_benchmark: 1327.5842, usercpu_time_millis: 25310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 25290,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7194, kappa: 0.4951, kb_relative_information_score: 33191.4362, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7587, predictive_accuracy: 0.6918, prior_entropy: 1.7643, recall: 0.6918, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.9394, scimark_benchmark: 1342.8632, usercpu_time_millis: 260, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.7194, kappa: 0.4951, kb_relative_information_score: 33191.4362, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7587, predictive_accuracy: 0.6918, prior_entropy: 1.7643, recall: 0.6918, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.9394, scimark_benchmark: 1334.2813, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7509, kappa: 0.5924, kb_relative_information_score: 43250.444, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7806, predictive_accuracy: 0.7751, prior_entropy: 1.7643, recall: 0.7751, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6841, scimark_benchmark: 1346.4887, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7703, kappa: 0.5914, kb_relative_information_score: 35930.7719, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.769, predictive_accuracy: 0.772, prior_entropy: 1.7643, recall: 0.772, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.9032, scimark_benchmark: 1317.1597, usercpu_time_millis: 2630, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.7261, kappa: 0.5099, kb_relative_information_score: 32221.951, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7276, predictive_accuracy: 0.7247, prior_entropy: 1.7643, recall: 0.7247, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.9415, scimark_benchmark: 1329.8847, usercpu_time_millis: 666040, usercpu_time_millis_testing: 666040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.7421, kappa: 0.5411, kb_relative_information_score: 35532.5151, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7416, predictive_accuracy: 0.7437, prior_entropy: 1.7643, recall: 0.7437, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.9004, scimark_benchmark: 1327.9121, usercpu_time_millis: 23260, usercpu_time_millis_testing: 23250, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5015, kb_relative_information_score: 3.251, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2826, root_relative_squared_error: 1, scimark_benchmark: 1316.7714, usercpu_time_millis: 400, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.6454, kappa: 0.3839, kb_relative_information_score: -17980.3916, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6228, predictive_accuracy: 0.7031, prior_entropy: 1.7643, recall: 0.7031, relative_absolute_error: 1.504, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.2156, scimark_benchmark: 937.5996, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.4978, kappa: 0.0147, kb_relative_information_score: 3151.4384, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4539, predictive_accuracy: 0.5751, prior_entropy: 1.7643, recall: 0.5751, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3015, root_relative_squared_error: 1.067, scimark_benchmark: 1313.6093, usercpu_time_millis: 410640, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 410290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.5015, kb_relative_information_score: 9118.1664, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.9254, scimark_benchmark: 1337.6765, usercpu_time_millis: 159400, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 158740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7799, kappa: 0.6199, kb_relative_information_score: 34520.7448, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7824, predictive_accuracy: 0.7902, prior_entropy: 1.7643, recall: 0.7902, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.7539, scimark_benchmark: 1332.576, usercpu_time_millis: 8850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6698, kappa: 0.4013, kb_relative_information_score: 21435.0928, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6652, predictive_accuracy: 0.7307, prior_entropy: 1.7643, recall: 0.7307, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.8768, scimark_benchmark: 1313.0885, usercpu_time_millis: 7090, usercpu_time_millis_training: 7090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.7897, kappa: 0.6268, kb_relative_information_score: 47185.9725, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7894, predictive_accuracy: 0.7918, prior_entropy: 1.7643, recall: 0.7918, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6637, scimark_benchmark: 1318.8785, usercpu_time_millis: 4490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.4951, kappa: 0.0126, kb_relative_information_score: 3161.3588, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4515, predictive_accuracy: 0.5685, prior_entropy: 1.7643, recall: 0.5685, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3019, root_relative_squared_error: 1.0684, scimark_benchmark: 1262.9237, usercpu_time_millis: 104990, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 104890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.7884, kappa: 0.628, kb_relative_information_score: 47568.4322, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7895, predictive_accuracy: 0.7931, prior_entropy: 1.7643, recall: 0.7931, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6522, scimark_benchmark: 1332.6143, usercpu_time_millis: 810, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5015, kb_relative_information_score: 15565.2213, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4116, predictive_accuracy: 0.6416, prior_entropy: 1.7643, recall: 0.6416, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.32, root_relative_squared_error: 1.1325, scimark_benchmark: 1320.9366, usercpu_time_millis: 115640, usercpu_time_millis_testing: 43960, usercpu_time_millis_training: 71680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.4948, kappa: 0.0135, kb_relative_information_score: 3181.1545, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4516, predictive_accuracy: 0.5664, prior_entropy: 1.7643, recall: 0.5664, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.0699, scimark_benchmark: 1301.1661, usercpu_time_millis: 58360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 58290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7509, kappa: 0.5924, kb_relative_information_score: 43250.444, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7806, predictive_accuracy: 0.7751, prior_entropy: 1.7643, recall: 0.7751, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6841, scimark_benchmark: 1330.7934, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7384, kappa: 0.5314, kb_relative_information_score: 36497.4787, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7668, predictive_accuracy: 0.7195, prior_entropy: 1.7643, recall: 0.7195, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.8817, scimark_benchmark: 924.1296, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.7384, kappa: 0.5314, kb_relative_information_score: 36497.4787, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7668, predictive_accuracy: 0.7195, prior_entropy: 1.7643, recall: 0.7195, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.8817, scimark_benchmark: 922.1419, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7384, kappa: 0.5312, kb_relative_information_score: 32242.2717, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7415, predictive_accuracy: 0.7355, prior_entropy: 1.7643, recall: 0.7355, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9728, scimark_benchmark: 1329.4984, usercpu_time_millis: 40910, usercpu_time_millis_testing: 40910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 39937.5458, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.7032, scimark_benchmark: 1334.8272, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.787, kappa: 0.6324, kb_relative_information_score: 47689.6667, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7888, predictive_accuracy: 0.7958, prior_entropy: 1.7643, recall: 0.7958, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6503, scimark_benchmark: 1331.6907, usercpu_time_millis: 398030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 398020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.7798, kappa: 0.6285, kb_relative_information_score: -2469.2763, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7798, predictive_accuracy: 0.7932, prior_entropy: 1.7643, recall: 0.7932, relative_absolute_error: 1.3095, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.0955, scimark_benchmark: 916.9356, usercpu_time_millis: 8336950, usercpu_time_millis_testing: 5050520, usercpu_time_millis_training: 3286430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.4962, kappa: 0.0133, kb_relative_information_score: 3169.0954, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4523, predictive_accuracy: 0.5715, prior_entropy: 1.7643, recall: 0.5715, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3016, root_relative_squared_error: 1.0674, scimark_benchmark: 1342.2905, usercpu_time_millis: 201880, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 201720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.7197, kappa: 0.5105, kb_relative_information_score: 39976.5715, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7059, predictive_accuracy: 0.754, prior_entropy: 1.7643, recall: 0.754, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.7375, scimark_benchmark: 1315.1549, usercpu_time_millis: 11930, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 11870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.6948, kappa: 0.4597, kb_relative_information_score: 27266.1104, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6799, predictive_accuracy: 0.7253, prior_entropy: 1.7643, recall: 0.7253, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9047, scimark_benchmark: 854.5188, usercpu_time_millis: 290, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.787, kappa: 0.6222, kb_relative_information_score: 45968.8048, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7861, predictive_accuracy: 0.7893, prior_entropy: 1.7643, recall: 0.7893, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6879, scimark_benchmark: 938.9967, usercpu_time_millis: 14770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.4951, kappa: 0.0152, kb_relative_information_score: 3217.9923, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.4521, predictive_accuracy: 0.5658, prior_entropy: 1.7643, recall: 0.5658, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0736, scimark_benchmark: 1339.3974, usercpu_time_millis: 24800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 24780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.7574, kappa: 0.5996, kb_relative_information_score: 44829.3963, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.7781, predictive_accuracy: 0.7789, prior_entropy: 1.7643, recall: 0.7789, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6674, scimark_benchmark: 1318.1432, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.6973, kappa: 0.5549, kb_relative_information_score: 2330.1084, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1598, number_of_instances: 74850, precision: 0.6784, predictive_accuracy: 0.7564, prior_entropy: 1.7643, recall: 0.7564, relative_absolute_error: 1.1373, root_mean_prior_squared_error: 0.2826, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9506, scimark_benchmark: 930.5999, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,

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