OpenML
Supervised Classification on fri_c0_250_10

Supervised Classification on fri_c0_250_10

Task 3629 Supervised Classification fri_c0_250_10 567 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7673, kappa: 0.536, kb_relative_information_score: 118.7825, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7714, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 137.8738, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7516, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8033, kappa: 0.608, kb_relative_information_score: 133.1282, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8084, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7523, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8159, kappa: 0.632, kb_relative_information_score: 127.7747, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7233, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -10, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 140.3046, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 48.8647, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8656, scimark_benchmark: 947.9494, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7587, kappa: 0.52, kb_relative_information_score: 69.1444, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7655, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8252, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -10, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7838, kappa: 0.568, kb_relative_information_score: 142, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7852, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, scimark_benchmark: 941.7954, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.51, kappa: 0.024, kb_relative_information_score: 6, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5122, predictive_accuracy: 0.512, prior_entropy: 1, recall: 0.512, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6986, root_relative_squared_error: 1.3971, scimark_benchmark: 941.8057, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.5758, kappa: 0.152, kb_relative_information_score: 38, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5762, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 941.8057, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.856, kappa: 0.712, kb_relative_information_score: 177.6884, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 1, recall: 0.856, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7407, scimark_benchmark: 933.8635, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 183.4795, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7224, scimark_benchmark: 945.3151, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 185.782, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7157, scimark_benchmark: 770.3451, usercpu_time_millis: 960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 170.1814, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7373, scimark_benchmark: 868.2731, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7424, kappa: 0.488, kb_relative_information_score: 93.5797, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7504, predictive_accuracy: 0.744, prior_entropy: 1, recall: 0.744, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8628, scimark_benchmark: 917.1386, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 165.3734, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7654, scimark_benchmark: 945.6434, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7634, kappa: 0.528, kb_relative_information_score: 95.5732, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7669, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.5758, kappa: 0.152, kb_relative_information_score: 38, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5762, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 928.3108, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.8119, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8125, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, scimark_benchmark: 799.2185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, build_cpu_time: 0.0409, build_memory: 371798053.6, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 127.0714, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, build_cpu_time: 0.04, build_memory: 604611013.6, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 127.0714, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, build_cpu_time: 0.0334, build_memory: 1014741497.6, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 127.0714, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, build_cpu_time: 0.0288, build_memory: 1038657410.4, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 127.0714, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7862, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 0.0222, build_memory: 271473649.6, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 146.4184, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7971, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, build_cpu_time: 0.0485, build_memory: 844452720, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 154.925, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8003, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, build_cpu_time: 0.102, build_memory: 222944983.2, f_measure: 0.816, kappa: 0.632, kb_relative_information_score: 152.5318, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8161, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8115, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.1262, build_memory: 126480539.2, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.4683, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.1376, build_memory: 640135639.2, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 158.4683, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.7993, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0068, build_memory: 259289364.8, f_measure: 0.7709, kappa: 0.544, kb_relative_information_score: 136, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7771, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0069, build_memory: 150451278.4, f_measure: 0.7709, kappa: 0.544, kb_relative_information_score: 136, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7771, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0033, build_memory: 2302773332.8, f_measure: 0.7709, kappa: 0.544, kb_relative_information_score: 136, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7771, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0016, build_memory: 2362052004, f_measure: 0.7709, kappa: 0.544, kb_relative_information_score: 136, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7771, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0022, build_memory: 822761720, f_measure: 0.7709, kappa: 0.544, kb_relative_information_score: 136, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7771, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, build_cpu_time: 0.0978, build_memory: 1114270487.2, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 130.0753, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6702, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, build_cpu_time: 0.1808, build_memory: 647014088.8, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 167.3801, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7041, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, build_cpu_time: 1.0684, build_memory: 1311628446.4, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 172.1644, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7761, scimark_benchmark: 934.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, build_cpu_time: 0.5311, build_memory: 931758588.8, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 169.8979, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7821, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, build_cpu_time: 0.3073, build_memory: 2121923788, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 172.175, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7458, scimark_benchmark: 936.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, build_cpu_time: 0.1997, build_memory: 1623371823.2, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 170.1814, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7373, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, build_cpu_time: 0.2998, build_memory: 168370625.6, f_measure: 0.7424, kappa: 0.488, kb_relative_information_score: 93.5797, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7504, predictive_accuracy: 0.744, prior_entropy: 1, recall: 0.744, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8628, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, build_cpu_time: 0.1996, build_memory: 1351812802.4, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 165.3734, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7654, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, build_cpu_time: 0.0013, build_memory: 189576992.8, f_measure: 0.7634, kappa: 0.528, kb_relative_information_score: 95.5732, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7669, predictive_accuracy: 0.764, prior_entropy: 1, recall: 0.764, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285, scimark_benchmark: 946.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, build_cpu_time: 0.0817, build_memory: 890221208, f_measure: 0.8519, kappa: 0.704, kb_relative_information_score: 129.3521, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8531, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6738, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, build_cpu_time: 0.0134, build_memory: 127522013.6, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 143.4918, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7435, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.0002, build_memory: 822346995.2, f_measure: 0.7279, kappa: 0.456, kb_relative_information_score: 113.2739, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7282, predictive_accuracy: 0.728, prior_entropy: 1, recall: 0.728, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.0385, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, build_cpu_time: 0.0282, build_memory: 734643692.8, f_measure: 0.5758, kappa: 0.152, kb_relative_information_score: 38, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5762, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, build_cpu_time: 0.0063, build_memory: 841997968.8, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, build_cpu_time: 0.019, build_memory: 617234808, f_measure: 0.8119, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8125, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, build_cpu_time: 0.0047, build_memory: 155312923.2, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 125.1831, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7448, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, build_cpu_time: 0.001, build_memory: 56622352, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 120.0517, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7004, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.0162, build_memory: 224202504.8, f_measure: 0.824, kappa: 0.648, kb_relative_information_score: 121.3178, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7279, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, build_cpu_time: 0.0011, build_memory: 84708151.2, f_measure: 0.6834, kappa: 0.368, kb_relative_information_score: 92, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6854, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, build_cpu_time: 0.0011, build_memory: 464363893.6, f_measure: 0.6834, kappa: 0.368, kb_relative_information_score: 92, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6854, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.0042, build_memory: 293284497.6, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 140.3046, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, build_cpu_time: 0.0037, build_memory: 899403540.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 140.3046, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8601, scimark_benchmark: 940.3415,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs