Task
Supervised Classification on pbc

Supervised Classification on pbc

Task 4380 Supervised Classification pbc 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6631, kappa: 0.3181, kb_relative_information_score: 863.1192, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6629, predictive_accuracy: 0.6641, prior_entropy: 0.9928, recall: 0.6641, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9393, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6825, kappa: 0.3595, kb_relative_information_score: 869.5172, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6832, predictive_accuracy: 0.6821, prior_entropy: 0.9928, recall: 0.6821, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9088, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.67, kappa: 0.3336, kb_relative_information_score: 990.6809, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6702, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9409, scimark_benchmark: 934.3687, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3872, kappa: -0.0357, kb_relative_information_score: 206.6104, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.3544, predictive_accuracy: 0.5316, prior_entropy: 0.9928, recall: 0.5316, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6844, root_relative_squared_error: 1.3758, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3872, kappa: -0.0357, kb_relative_information_score: 206.6104, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.3544, predictive_accuracy: 0.5316, prior_entropy: 0.9928, recall: 0.5316, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6844, root_relative_squared_error: 1.3758, scimark_benchmark: 904.0772, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6808, kappa: 0.3537, kb_relative_information_score: 1013.9438, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6809, predictive_accuracy: 0.6823, prior_entropy: 0.9928, recall: 0.6823, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9001, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7123, kappa: 0.4185, kb_relative_information_score: 1330.4131, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7122, predictive_accuracy: 0.7124, prior_entropy: 0.9928, recall: 0.7124, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8758, scimark_benchmark: 938.8177, usercpu_time_millis: 4120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6771, kappa: 0.3513, kb_relative_information_score: 1169.9235, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.68, predictive_accuracy: 0.6763, prior_entropy: 0.9928, recall: 0.6763, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9772, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3872, kappa: -0.0357, kb_relative_information_score: 206.6104, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.3544, predictive_accuracy: 0.5316, prior_entropy: 0.9928, recall: 0.5316, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6844, root_relative_squared_error: 1.3758, scimark_benchmark: 941.3847, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3872, kappa: -0.0357, kb_relative_information_score: 206.6104, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.3544, predictive_accuracy: 0.5316, prior_entropy: 0.9928, recall: 0.5316, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6844, root_relative_squared_error: 1.3758, scimark_benchmark: 936.3373, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6888, kappa: 0.3767, kb_relative_information_score: 1330.1294, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6938, predictive_accuracy: 0.688, prior_entropy: 0.9928, recall: 0.688, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9638, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6801, kappa: 0.3522, kb_relative_information_score: 1033.8467, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.682, predictive_accuracy: 0.6833, prior_entropy: 0.9928, recall: 0.6833, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8863, scimark_benchmark: 943.1009, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6631, kappa: 0.3181, kb_relative_information_score: 863.1192, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6629, predictive_accuracy: 0.6641, prior_entropy: 0.9928, recall: 0.6641, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9393, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6825, kappa: 0.3595, kb_relative_information_score: 869.5172, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6832, predictive_accuracy: 0.6821, prior_entropy: 0.9928, recall: 0.6821, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9088, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.67, kappa: 0.3336, kb_relative_information_score: 990.6809, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6702, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9409, scimark_benchmark: 940.1541, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3872, kappa: -0.0357, kb_relative_information_score: 206.6104, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.3544, predictive_accuracy: 0.5316, prior_entropy: 0.9928, recall: 0.5316, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6844, root_relative_squared_error: 1.3758, scimark_benchmark: 927.2882, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.3872, kappa: -0.0357, kb_relative_information_score: 206.6104, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.3544, predictive_accuracy: 0.5316, prior_entropy: 0.9928, recall: 0.5316, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6844, root_relative_squared_error: 1.3758, scimark_benchmark: 943.6618, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6808, kappa: 0.3537, kb_relative_information_score: 1013.9438, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6809, predictive_accuracy: 0.6823, prior_entropy: 0.9928, recall: 0.6823, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9001, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7123, kappa: 0.4185, kb_relative_information_score: 1330.4131, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7122, predictive_accuracy: 0.7124, prior_entropy: 0.9928, recall: 0.7124, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8758, scimark_benchmark: 936.9595, usercpu_time_millis: 4210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6771, kappa: 0.3513, kb_relative_information_score: 1169.9235, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.68, predictive_accuracy: 0.6763, prior_entropy: 0.9928, recall: 0.6763, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9772, scimark_benchmark: 730.6551, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6801, kappa: 0.3522, kb_relative_information_score: 1033.8467, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.682, predictive_accuracy: 0.6833, prior_entropy: 0.9928, recall: 0.6833, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8863, scimark_benchmark: 901.4991, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.7012, kappa: 0.3959, kb_relative_information_score: 1022.9511, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.701, predictive_accuracy: 0.7014, prior_entropy: 0.9928, recall: 0.7014, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8763, scimark_benchmark: 936.2574, usercpu_time_millis: 4400, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7056, kappa: 0.405, kb_relative_information_score: 1021.2532, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7055, predictive_accuracy: 0.7057, prior_entropy: 0.9928, recall: 0.7057, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8779, scimark_benchmark: 943.6618, usercpu_time_millis: 2580, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.6957, kappa: 0.3846, kb_relative_information_score: 1010.2026, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6955, predictive_accuracy: 0.6959, prior_entropy: 0.9928, recall: 0.6959, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8822, scimark_benchmark: 933.9243, usercpu_time_millis: 990, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.697, kappa: 0.3876, kb_relative_information_score: 1019.6787, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6969, predictive_accuracy: 0.6971, prior_entropy: 0.9928, recall: 0.6971, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.8842, scimark_benchmark: 921.2615, usercpu_time_millis: 430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6856, kappa: 0.3641, kb_relative_information_score: 998.6783, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6854, predictive_accuracy: 0.6861, prior_entropy: 0.9928, recall: 0.6861, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8959, scimark_benchmark: 920.5394, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7011, kappa: 0.3963, kb_relative_information_score: 1261.6316, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7012, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9115, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7011, kappa: 0.3963, kb_relative_information_score: 1261.6316, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7012, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9115, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7011, kappa: 0.3963, kb_relative_information_score: 1261.6316, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7012, predictive_accuracy: 0.701, prior_entropy: 0.9928, recall: 0.701, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9115, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.71, kappa: 0.4152, kb_relative_information_score: 1659.5653, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7108, predictive_accuracy: 0.7096, prior_entropy: 0.9928, recall: 0.7096, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9958, scimark_benchmark: 936.1714, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7042, kappa: 0.4025, kb_relative_information_score: 1611.334, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7043, predictive_accuracy: 0.7041, prior_entropy: 0.9928, recall: 0.7041, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.004, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7008, kappa: 0.3964, kb_relative_information_score: 1526.3959, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.7014, predictive_accuracy: 0.7005, prior_entropy: 0.9928, recall: 0.7005, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0061, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.6831, kappa: 0.3616, kb_relative_information_score: 1399.9463, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6844, predictive_accuracy: 0.6825, prior_entropy: 0.9928, recall: 0.6825, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0075, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.67, kappa: 0.3336, kb_relative_information_score: 990.6809, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6702, predictive_accuracy: 0.6699, prior_entropy: 0.9928, recall: 0.6699, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9409, scimark_benchmark: 845.538, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6888, kappa: 0.3767, kb_relative_information_score: 1330.1294, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6938, predictive_accuracy: 0.688, prior_entropy: 0.9928, recall: 0.688, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9638, scimark_benchmark: 1346.2927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.6808, kappa: 0.3537, kb_relative_information_score: 1013.9438, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6809, predictive_accuracy: 0.6823, prior_entropy: 0.9928, recall: 0.6823, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9001, scimark_benchmark: 1306.9281, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6888, kappa: 0.3767, kb_relative_information_score: 1330.1294, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6938, predictive_accuracy: 0.688, prior_entropy: 0.9928, recall: 0.688, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9638, scimark_benchmark: 1337.9552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7121, kappa: 0.4181, kb_relative_information_score: 1330.4209, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.712, predictive_accuracy: 0.7122, prior_entropy: 0.9928, recall: 0.7122, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8758, scimark_benchmark: 1334.8032, usercpu_time_millis: 2880, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2850,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6801, kappa: 0.3522, kb_relative_information_score: 1033.8467, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.682, predictive_accuracy: 0.6833, prior_entropy: 0.9928, recall: 0.6833, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8863, scimark_benchmark: 1338.1299, usercpu_time_millis: 350, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6631, kappa: 0.3181, kb_relative_information_score: 863.1192, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6629, predictive_accuracy: 0.6641, prior_entropy: 0.9928, recall: 0.6641, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9393, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.6825, kappa: 0.3595, kb_relative_information_score: 869.5172, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6832, predictive_accuracy: 0.6821, prior_entropy: 0.9928, recall: 0.6821, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9088, scimark_benchmark: 1346.1568, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 1374.9737,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6909, kappa: 0.3825, kb_relative_information_score: 1275.9896, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.6978, predictive_accuracy: 0.6902, prior_entropy: 0.9928, recall: 0.6902, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9438, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6771, kappa: 0.3513, kb_relative_information_score: 1169.9235, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.68, predictive_accuracy: 0.6763, prior_entropy: 0.9928, recall: 0.6763, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9772, scimark_benchmark: 1351.3088, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.6801, kappa: 0.3522, kb_relative_information_score: 1033.8467, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.495, number_of_instances: 4180, precision: 0.682, predictive_accuracy: 0.6833, prior_entropy: 0.9928, recall: 0.6833, relative_absolute_error: 0.7718, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8863, scimark_benchmark: 1354.5533, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,

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