Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1909 Supervised Classification credit-approval 192 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8604, kappa: 0.7169, kb_relative_information_score: 4309.8301, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6621, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8504, kappa: 0.697, kb_relative_information_score: 3588.2233, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8504, predictive_accuracy: 0.8506, prior_entropy: 0.9913, recall: 0.8506, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6723, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.848, kappa: 0.6921, kb_relative_information_score: 4273.0604, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.848, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6556, scimark_benchmark: 851.2074, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8535, kappa: 0.7046, kb_relative_information_score: 4227.616, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8551, predictive_accuracy: 0.8532, prior_entropy: 0.9913, recall: 0.8532, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6539, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8551, kappa: 0.707, kb_relative_information_score: 4293.908, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8554, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6691, scimark_benchmark: 943.8235, usercpu_time_millis: 42350, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 42010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8637, kappa: 0.7237, kb_relative_information_score: 3908.146, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9913, recall: 0.8639, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6529, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.4833, kappa: 0.0394, kb_relative_information_score: 718.5886, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.5451, predictive_accuracy: 0.5599, prior_entropy: 0.9913, recall: 0.5599, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.335, scimark_benchmark: 932.438, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8517, kappa: 0.6992, kb_relative_information_score: 4579.997, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9913, recall: 0.852, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6899, scimark_benchmark: 947.1781, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8637, kappa: 0.7237, kb_relative_information_score: 3908.146, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9913, recall: 0.8639, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6529, scimark_benchmark: 943.1009, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8604, kappa: 0.7169, kb_relative_information_score: 4309.8301, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6621, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8504, kappa: 0.697, kb_relative_information_score: 3588.2233, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8504, predictive_accuracy: 0.8506, prior_entropy: 0.9913, recall: 0.8506, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6723, scimark_benchmark: 935.2002, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.848, kappa: 0.6921, kb_relative_information_score: 4273.0604, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.848, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6556, scimark_benchmark: 608.4057, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.4833, kappa: 0.0394, kb_relative_information_score: 718.5886, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.5451, predictive_accuracy: 0.5599, prior_entropy: 0.9913, recall: 0.5599, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.335, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8535, kappa: 0.7046, kb_relative_information_score: 4227.616, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8551, predictive_accuracy: 0.8532, prior_entropy: 0.9913, recall: 0.8532, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6539, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8551, kappa: 0.707, kb_relative_information_score: 4293.908, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8554, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6691, scimark_benchmark: 936.9595, usercpu_time_millis: 33800, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 33620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8517, kappa: 0.6992, kb_relative_information_score: 4579.997, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9913, recall: 0.852, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6899, scimark_benchmark: 936.3213, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8637, kappa: 0.7237, kb_relative_information_score: 3908.146, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9913, recall: 0.8639, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6529, scimark_benchmark: 936.9595, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8701, kappa: 0.7374, kb_relative_information_score: 4322.1832, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9913, recall: 0.87, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6321, scimark_benchmark: 851.2074, usercpu_time_millis: 11770, usercpu_time_millis_testing: 4530, usercpu_time_millis_training: 7240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8674, kappa: 0.7318, kb_relative_information_score: 4316.8783, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8677, predictive_accuracy: 0.8672, prior_entropy: 0.9913, recall: 0.8672, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6338, scimark_benchmark: 926.5462, usercpu_time_millis: 3930, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8646, kappa: 0.7262, kb_relative_information_score: 4315.2683, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8649, predictive_accuracy: 0.8645, prior_entropy: 0.9913, recall: 0.8645, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6355, scimark_benchmark: 944.235, usercpu_time_millis: 1940, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8672, kappa: 0.7315, kb_relative_information_score: 4323.2629, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8675, predictive_accuracy: 0.8671, prior_entropy: 0.9913, recall: 0.8671, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6371, scimark_benchmark: 930.0025, usercpu_time_millis: 910, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8629, kappa: 0.7228, kb_relative_information_score: 4322.7384, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8632, predictive_accuracy: 0.8628, prior_entropy: 0.9913, recall: 0.8628, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6434, scimark_benchmark: 926.5859, usercpu_time_millis: 510, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8608, kappa: 0.7185, kb_relative_information_score: 4492.856, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.861, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.638, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8608, kappa: 0.7185, kb_relative_information_score: 4492.856, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.861, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.638, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8608, kappa: 0.7185, kb_relative_information_score: 4492.856, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.861, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.638, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8608, kappa: 0.7185, kb_relative_information_score: 4492.856, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.861, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.638, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8567, kappa: 0.7101, kb_relative_information_score: 4415.0929, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8568, predictive_accuracy: 0.8567, prior_entropy: 0.9913, recall: 0.8567, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6391, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.3963, kb_relative_information_score: -0.4107, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.862, kappa: 0.7232, kb_relative_information_score: 4949.1668, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8677, predictive_accuracy: 0.8616, prior_entropy: 0.9913, recall: 0.8616, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.347, root_relative_squared_error: 0.6983, scimark_benchmark: 938.3115, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8637, kappa: 0.7258, kb_relative_information_score: 4946.9098, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8671, predictive_accuracy: 0.8633, prior_entropy: 0.9913, recall: 0.8633, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6838, scimark_benchmark: 936.1714, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8581, kappa: 0.7163, kb_relative_information_score: 4895.3982, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8668, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7199, 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: 0.919, f_measure: 0.861, kappa: 0.7178, kb_relative_information_score: 4656.4933, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8626, predictive_accuracy: 0.8617, prior_entropy: 0.9913, recall: 0.8617, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6764, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8551, kappa: 0.707, kb_relative_information_score: 4293.9045, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8554, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6691, scimark_benchmark: 1332.7986, usercpu_time_millis: 40450, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 40300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8517, kappa: 0.6992, kb_relative_information_score: 4579.997, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9913, recall: 0.852, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6899, scimark_benchmark: 1309.0674, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.848, kappa: 0.6921, kb_relative_information_score: 4273.0604, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.848, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6556, scimark_benchmark: 1338.6772, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.4833, kappa: 0.0394, kb_relative_information_score: 718.5886, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.5451, predictive_accuracy: 0.5599, prior_entropy: 0.9913, recall: 0.5599, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.335, scimark_benchmark: 1371.174, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1314.1215, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1338.6409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1359.7293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8637, kappa: 0.7237, kb_relative_information_score: 3908.146, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9913, recall: 0.8639, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6529, scimark_benchmark: 1274.7011, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8604, kappa: 0.7169, kb_relative_information_score: 4309.8301, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6621, scimark_benchmark: 1278.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.4833, kappa: 0.0394, kb_relative_information_score: 718.5886, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.5451, predictive_accuracy: 0.5599, prior_entropy: 0.9913, recall: 0.5599, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6634, root_relative_squared_error: 1.335, scimark_benchmark: 1318.2298, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8637, kappa: 0.7237, kb_relative_information_score: 3908.146, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9913, recall: 0.8639, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6529, scimark_benchmark: 1281.7531, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8551, kappa: 0.707, kb_relative_information_score: 4293.9045, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8554, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6691, scimark_benchmark: 1341.5795, usercpu_time_millis: 25540, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 25400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.861, kappa: 0.7178, kb_relative_information_score: 4656.4933, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8626, predictive_accuracy: 0.8617, prior_entropy: 0.9913, recall: 0.8617, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6764, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8549, kappa: 0.7078, kb_relative_information_score: 4212.0584, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8575, predictive_accuracy: 0.8545, prior_entropy: 0.9913, recall: 0.8545, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6486, scimark_benchmark: 1293.6566, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8604, kappa: 0.7169, kb_relative_information_score: 4309.8301, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9913, recall: 0.8607, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6621, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.848, kappa: 0.6921, kb_relative_information_score: 4273.0604, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.848, predictive_accuracy: 0.8481, prior_entropy: 0.9913, recall: 0.8481, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6556, scimark_benchmark: 1280.6338, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8617, kappa: 0.7193, kb_relative_information_score: 4606.9241, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.861, kappa: 0.7178, kb_relative_information_score: 4656.4933, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8626, predictive_accuracy: 0.8617, prior_entropy: 0.9913, recall: 0.8617, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6764, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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