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Supervised Classification on fri_c4_1000_10

Supervised Classification on fri_c4_1000_10

Task 4322 Supervised Classification fri_c4_1000_10 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8306, kappa: 0.6558, kb_relative_information_score: 6544.4832, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9896, recall: 0.8308, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8287, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8306, kappa: 0.6558, kb_relative_information_score: 5694.8345, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8305, predictive_accuracy: 0.8308, prior_entropy: 0.9896, recall: 0.8308, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7468, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8546, kappa: 0.7042, kb_relative_information_score: 6067.9742, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8558, predictive_accuracy: 0.8554, prior_entropy: 0.9896, recall: 0.8554, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6747, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8524, kappa: 0.6999, kb_relative_information_score: 5066.2967, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8526, predictive_accuracy: 0.8528, prior_entropy: 0.9896, recall: 0.8528, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6717, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8461, kappa: 0.6881, kb_relative_information_score: 5880.6876, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 0.9896, recall: 0.846, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6539, scimark_benchmark: 934.3687, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 904.6764, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 931.771, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8811, kappa: 0.7584, kb_relative_information_score: 6468.0067, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 0.9896, recall: 0.8813, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5899, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7149, kappa: 0.4201, kb_relative_information_score: 2337.2539, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.7147, predictive_accuracy: 0.7158, prior_entropy: 0.9896, recall: 0.7158, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8809, scimark_benchmark: 944.1067, usercpu_time_millis: 25850, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 25630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8487, kappa: 0.6928, kb_relative_information_score: 6238.6865, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8486, predictive_accuracy: 0.8487, prior_entropy: 0.9896, recall: 0.8487, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6801, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 944.1783, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 932.438, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8211, kappa: 0.6377, kb_relative_information_score: 5759.8656, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8218, predictive_accuracy: 0.8208, prior_entropy: 0.9896, recall: 0.8208, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6728, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8937, kappa: 0.7839, kb_relative_information_score: 6514.7367, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9896, recall: 0.894, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.5612, scimark_benchmark: 943.1009, usercpu_time_millis: 370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8546, kappa: 0.7042, kb_relative_information_score: 6067.9742, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8558, predictive_accuracy: 0.8554, prior_entropy: 0.9896, recall: 0.8554, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6747, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8524, kappa: 0.6999, kb_relative_information_score: 5066.2967, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8526, predictive_accuracy: 0.8528, prior_entropy: 0.9896, recall: 0.8528, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6717, scimark_benchmark: 908.9569, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8461, kappa: 0.6881, kb_relative_information_score: 5880.6876, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 0.9896, recall: 0.846, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6539, scimark_benchmark: 938.1282, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 937.5683, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 859.5223, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8811, kappa: 0.7584, kb_relative_information_score: 6468.0067, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 0.9896, recall: 0.8813, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5899, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7149, kappa: 0.4201, kb_relative_information_score: 2337.2539, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.7147, predictive_accuracy: 0.7158, prior_entropy: 0.9896, recall: 0.7158, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8809, scimark_benchmark: 934.5964, usercpu_time_millis: 25190, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 25050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8487, kappa: 0.6928, kb_relative_information_score: 6238.6865, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8486, predictive_accuracy: 0.8487, prior_entropy: 0.9896, recall: 0.8487, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6801, scimark_benchmark: 945.6228, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8937, kappa: 0.7839, kb_relative_information_score: 6514.7367, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9896, recall: 0.894, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.5612, scimark_benchmark: 938.988, usercpu_time_millis: 440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8907, kappa: 0.7779, kb_relative_information_score: 5866.8961, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9896, recall: 0.891, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5823, scimark_benchmark: 904.5548, usercpu_time_millis: 6750, usercpu_time_millis_testing: 2130, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8892, kappa: 0.7748, kb_relative_information_score: 5862.0909, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8893, predictive_accuracy: 0.8894, prior_entropy: 0.9896, recall: 0.8894, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5839, scimark_benchmark: 904.5548, usercpu_time_millis: 3010, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8885, kappa: 0.7733, kb_relative_information_score: 5845.4745, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8887, predictive_accuracy: 0.8887, prior_entropy: 0.9896, recall: 0.8887, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.5879, scimark_benchmark: 929.7512, usercpu_time_millis: 1420, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8774, kappa: 0.7508, kb_relative_information_score: 5706.5458, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.9896, recall: 0.8778, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6063, scimark_benchmark: 945.0448, usercpu_time_millis: 710, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 580,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8675, kappa: 0.7308, kb_relative_information_score: 6488.4279, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8675, predictive_accuracy: 0.8677, prior_entropy: 0.9896, recall: 0.8677, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6094, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.8059, kappa: 0.6054, kb_relative_information_score: 6046.2305, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8059, predictive_accuracy: 0.8064, prior_entropy: 0.9896, recall: 0.8064, relative_absolute_error: 0.3928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8864, scimark_benchmark: 1324.9519, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8211, kappa: 0.6377, kb_relative_information_score: 5759.8656, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8218, predictive_accuracy: 0.8208, prior_entropy: 0.9896, recall: 0.8208, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6728, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8811, kappa: 0.7584, kb_relative_information_score: 6468.0067, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 0.9896, recall: 0.8813, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5899, scimark_benchmark: 1347.6543, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8524, kappa: 0.6999, kb_relative_information_score: 5066.2967, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8526, predictive_accuracy: 0.8528, prior_entropy: 0.9896, recall: 0.8528, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6717, scimark_benchmark: 1339.6197, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8211, kappa: 0.6377, kb_relative_information_score: 5759.8656, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8218, predictive_accuracy: 0.8208, prior_entropy: 0.9896, recall: 0.8208, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6728, scimark_benchmark: 1319.4538,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8811, kappa: 0.7584, kb_relative_information_score: 6468.0067, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 0.9896, recall: 0.8813, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.5899, scimark_benchmark: 1342.8584, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.7149, kappa: 0.4201, kb_relative_information_score: 2337.2539, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.7147, predictive_accuracy: 0.7158, prior_entropy: 0.9896, recall: 0.7158, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8809, scimark_benchmark: 1315.9287, usercpu_time_millis: 20930, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 20790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8211, kappa: 0.6377, kb_relative_information_score: 5759.8656, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8218, predictive_accuracy: 0.8208, prior_entropy: 0.9896, recall: 0.8208, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6728, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8291, kappa: 0.6527, kb_relative_information_score: 5918.7808, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8291, predictive_accuracy: 0.8294, prior_entropy: 0.9896, recall: 0.8294, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6569, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8487, kappa: 0.6928, kb_relative_information_score: 6238.6865, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8486, predictive_accuracy: 0.8487, prior_entropy: 0.9896, recall: 0.8487, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6801, scimark_benchmark: 1322.1893, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8937, kappa: 0.7839, kb_relative_information_score: 6514.7367, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9896, recall: 0.894, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.5612, scimark_benchmark: 1354.5533, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,

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