Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 1919 Supervised Classification sonar 396 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 1009.7413, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8939, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7893, kappa: 0.5764, kb_relative_information_score: 930.498, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7893, predictive_accuracy: 0.7894, prior_entropy: 0.9968, recall: 0.7894, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7729, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7556, kappa: 0.5084, kb_relative_information_score: 920.299, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7561, predictive_accuracy: 0.7563, prior_entropy: 0.9968, recall: 0.7563, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8603, scimark_benchmark: 851.2074, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 916.0735, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7775, kappa: 0.5527, kb_relative_information_score: 778.6982, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7802, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7842, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8646, kappa: 0.7277, kb_relative_information_score: 1313.2668, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8683, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6081, scimark_benchmark: 943.8235, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 937.5117, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.762, kappa: 0.5214, kb_relative_information_score: 1039.0736, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9085, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 1009.7413, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8939, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7893, kappa: 0.5764, kb_relative_information_score: 930.498, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7893, predictive_accuracy: 0.7894, prior_entropy: 0.9968, recall: 0.7894, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7729, scimark_benchmark: 935.2002, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7556, kappa: 0.5084, kb_relative_information_score: 920.299, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7561, predictive_accuracy: 0.7563, prior_entropy: 0.9968, recall: 0.7563, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8603, scimark_benchmark: 608.4057, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 908.9569, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 938.1282, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7775, kappa: 0.5527, kb_relative_information_score: 778.6982, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7802, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7842, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8646, kappa: 0.7277, kb_relative_information_score: 1313.2668, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8683, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6081, scimark_benchmark: 917.5013, usercpu_time_millis: 340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.762, kappa: 0.5214, kb_relative_information_score: 1039.0736, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9085, scimark_benchmark: 936.3213, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 901.4991, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8612, kappa: 0.7208, kb_relative_information_score: 1052.3592, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.865, predictive_accuracy: 0.862, prior_entropy: 0.9968, recall: 0.862, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6527, scimark_benchmark: 873.7533, usercpu_time_millis: 9530, usercpu_time_millis_testing: 4000, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.8607, kappa: 0.7199, kb_relative_information_score: 1047.9396, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8646, predictive_accuracy: 0.8615, prior_entropy: 0.9968, recall: 0.8615, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6573, scimark_benchmark: 931.7096, usercpu_time_millis: 3550, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8517, kappa: 0.7017, kb_relative_information_score: 1047.7291, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8542, predictive_accuracy: 0.8524, prior_entropy: 0.9968, recall: 0.8524, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.662, scimark_benchmark: 921.2615, usercpu_time_millis: 1780, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8446, kappa: 0.6874, kb_relative_information_score: 1043.5215, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8464, predictive_accuracy: 0.8452, prior_entropy: 0.9968, recall: 0.8452, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6729, scimark_benchmark: 920.5394, usercpu_time_millis: 680, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8229, kappa: 0.6438, kb_relative_information_score: 1030.0005, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8243, predictive_accuracy: 0.8236, prior_entropy: 0.9968, recall: 0.8236, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6936, scimark_benchmark: 936.7184, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7929, kappa: 0.5835, kb_relative_information_score: 1190.1432, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7944, predictive_accuracy: 0.7938, prior_entropy: 0.9968, recall: 0.7938, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8012, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.7929, kappa: 0.5835, kb_relative_information_score: 1190.4626, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7944, predictive_accuracy: 0.7938, prior_entropy: 0.9968, recall: 0.7938, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8009, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.792, kappa: 0.5817, kb_relative_information_score: 1184.6527, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7933, predictive_accuracy: 0.7928, prior_entropy: 0.9968, recall: 0.7928, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8006, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7878, kappa: 0.5733, kb_relative_information_score: 1126.9363, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7886, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8131, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7587, kappa: 0.5148, kb_relative_information_score: 971.3472, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7589, predictive_accuracy: 0.7591, prior_entropy: 0.9968, recall: 0.7591, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8375, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.4083, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8359, kappa: 0.6699, kb_relative_information_score: 1392.989, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8376, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7726, scimark_benchmark: 936.1714, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.762, kappa: 0.5214, kb_relative_information_score: 1039.0736, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9085, scimark_benchmark: 1309.0674, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 1009.7413, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8939, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7514, kappa: 0.5003, kb_relative_information_score: 1014.2586, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7513, predictive_accuracy: 0.7514, prior_entropy: 0.9968, recall: 0.7514, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9243, scimark_benchmark: 1322.0065, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7556, kappa: 0.5084, kb_relative_information_score: 920.299, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7561, predictive_accuracy: 0.7563, prior_entropy: 0.9968, recall: 0.7563, relative_absolute_error: 0.5729, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8603, scimark_benchmark: 1338.6772, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 1319.4538, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 1320.1171, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1347.7267, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 1325.1654, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 1310.3168, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.767, kappa: 0.5314, kb_relative_information_score: 1093.2208, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7692, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8721, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1319.688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 1404.0159, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7766, kappa: 0.5506, kb_relative_information_score: 1114.6706, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7778, predictive_accuracy: 0.7774, prior_entropy: 0.9968, recall: 0.7774, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8149, scimark_benchmark: 1344.0499, usercpu_time_millis: 440, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 1009.7413, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8939, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.6168, kappa: 0.2801, kb_relative_information_score: 636.6331, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7151, predictive_accuracy: 0.6553, prior_entropy: 0.9968, recall: 0.6553, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5871, root_relative_squared_error: 1.1769, scimark_benchmark: 1318.2298, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.767, kappa: 0.5314, kb_relative_information_score: 1093.2208, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7692, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8721, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 1260.1387, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 1009.7413, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8939, scimark_benchmark: 1320.9387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8646, kappa: 0.7277, kb_relative_information_score: 1313.2668, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8683, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6081, scimark_benchmark: 1341.5795, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.767, kappa: 0.5314, kb_relative_information_score: 1093.2208, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7692, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8721, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.767, kappa: 0.5314, kb_relative_information_score: 1093.2208, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7692, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8721, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7746, kappa: 0.5466, kb_relative_information_score: 1110.305, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7759, predictive_accuracy: 0.7755, prior_entropy: 0.9968, recall: 0.7755, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8338, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7775, kappa: 0.5527, kb_relative_information_score: 778.6982, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7802, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7842, scimark_benchmark: 1312.0581, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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