Task
Supervised Classification on fl2000

Supervised Classification on fl2000

Task 3851 Supervised Classification fl2000 505 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.0576, build_memory: 191339942.806, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6943, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8592, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, build_cpu_time: 0.0049, build_memory: 813285842.2687, f_measure: 0.7313, kappa: 0.4343, kb_relative_information_score: 28.9172, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7313, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9753, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, build_cpu_time: 0.0239, build_memory: 821613759.8806, f_measure: 0.7732, kappa: 0.5184, kb_relative_information_score: 33.7876, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7736, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9595, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, build_cpu_time: 0.0178, build_memory: 1413515950.4478, f_measure: 0.7985, kappa: 0.5703, kb_relative_information_score: 26.9192, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8112, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7768, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, build_cpu_time: 0.011, build_memory: 2925464978.3881, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, build_cpu_time: 0.0049, build_memory: 323899284.1791, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, build_cpu_time: 0.0032, build_memory: 1313359309.0149, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0036, build_memory: 1262630883.7015, f_measure: 0.7264, kappa: 0.418, kb_relative_information_score: 28.7203, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7269, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9502, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, build_cpu_time: 0.0039, build_memory: 1095851320.8358, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, build_cpu_time: 0.0033, build_memory: 944852019.2239, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 15.9973, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9377, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, build_cpu_time: 0.0091, build_memory: 1441179864.8358, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 34.9885, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9305, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, build_cpu_time: 0.0409, build_memory: 551505889.791, f_measure: 0.7471, kappa: 0.4695, kb_relative_information_score: 30.3705, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7483, predictive_accuracy: 0.7463, prior_entropy: 0.9656, recall: 0.7463, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0331, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 33.6722, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7926, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7082, kappa: 0.3822, kb_relative_information_score: 14.0078, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7437, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8867, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8295, kappa: 0.6364, kb_relative_information_score: 27.8014, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8444, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7583, scimark_benchmark: 938.9865, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.8035, kappa: 0.5827, kb_relative_information_score: 37.6468, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8044, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8774, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, build_cpu_time: 0.2514, build_memory: 409900589.9701, f_measure: 0.8337, kappa: 0.6469, kb_relative_information_score: 33.0192, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8352, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7461, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6936, kappa: 0.3626, kb_relative_information_score: 28.2734, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7787, predictive_accuracy: 0.7313, prior_entropy: 0.9656, recall: 0.7313, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.0636, scimark_benchmark: 947.4269, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8052, kappa: 0.5886, kb_relative_information_score: 37.0396, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8049, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8855, scimark_benchmark: 942.6953, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7732, kappa: 0.5184, kb_relative_information_score: 27.4009, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7736, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8349, scimark_benchmark: 943.6956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8318, kappa: 0.6417, kb_relative_information_score: 34.8607, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8381, predictive_accuracy: 0.8358, prior_entropy: 0.9656, recall: 0.8358, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7625, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.6951, kappa: 0.3528, kb_relative_information_score: 27.1658, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.72, predictive_accuracy: 0.7164, prior_entropy: 0.9656, recall: 0.7164, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8609, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.429, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8601, scimark_benchmark: 931.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.4896, kappa: 0.0169, kb_relative_information_score: 7.4025, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.5706, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.203, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4646, kb_relative_information_score: 11.1254, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2783, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4437, f_measure: 0.4646, kb_relative_information_score: -0.1984, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.3745, predictive_accuracy: 0.6119, prior_entropy: 0.9656, recall: 0.6119, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.488, root_relative_squared_error: 1.0014, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8052, kappa: 0.5886, kb_relative_information_score: 39.0114, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8049, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.4075, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.44, root_relative_squared_error: 0.903, scimark_benchmark: 945.3151, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.026, build_memory: 547458047.6418, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6237, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8624, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.0343, build_memory: 52116984.9552, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6237, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8624, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.0864, build_memory: 980008548.1791, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6943, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8592, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 0.1103, build_memory: 2194687725.0149, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 31.6943, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8592, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, build_cpu_time: 1.6124, build_memory: 77009935.1642, f_measure: 0.9088, kappa: 0.806, kb_relative_information_score: 35.2179, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9144, predictive_accuracy: 0.9104, prior_entropy: 0.9656, recall: 0.9104, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6833, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 3.2403, build_memory: 186529157.8507, f_measure: 0.893, kappa: 0.772, kb_relative_information_score: 35.9421, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9017, predictive_accuracy: 0.8955, prior_entropy: 0.9656, recall: 0.8955, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6766, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, build_cpu_time: 0.9521, build_memory: 793845172.4179, f_measure: 0.9088, kappa: 0.806, kb_relative_information_score: 34.2527, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.9144, predictive_accuracy: 0.9104, prior_entropy: 0.9656, recall: 0.9104, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6953, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, build_cpu_time: 0.033, build_memory: 663142036.6567, f_measure: 0.7894, kappa: 0.5538, kb_relative_information_score: 29.0881, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7891, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7863, scimark_benchmark: 936.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.018, build_memory: 450753259.2239, f_measure: 0.7872, kappa: 0.5473, kb_relative_information_score: 27.6165, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7894, predictive_accuracy: 0.791, prior_entropy: 0.9656, recall: 0.791, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8114, scimark_benchmark: 935.2283,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, build_cpu_time: 0.3463, build_memory: 1201456878.0896, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 22.594, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0464, scimark_benchmark: 944.9156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.011, build_memory: 1018675379.3433, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 26.5768, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7999, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.0107, build_memory: 1662555475.1045, f_measure: 0.7706, kappa: 0.5114, kb_relative_information_score: 26.5768, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7746, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7999, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, build_cpu_time: 0.034, build_memory: 1713956813.6119, f_measure: 0.7953, kappa: 0.5638, kb_relative_information_score: 26.0543, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8197, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7743, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, build_cpu_time: 0.038, build_memory: 884908090.2687, f_measure: 0.7953, kappa: 0.5638, kb_relative_information_score: 26.0543, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8197, predictive_accuracy: 0.806, prior_entropy: 0.9656, recall: 0.806, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7743, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, build_cpu_time: 0.0415, build_memory: 1042095717.4925, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.3519, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.023, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, build_cpu_time: 0.0485, build_memory: 561954272.597, f_measure: 0.6375, kappa: 0.2686, kb_relative_information_score: 23.3519, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7994, predictive_accuracy: 0.7015, prior_entropy: 0.9656, recall: 0.7015, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.023, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7593, kappa: 0.4891, kb_relative_information_score: 29.3136, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.7953, predictive_accuracy: 0.7761, prior_entropy: 0.9656, recall: 0.7761, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8357, scimark_benchmark: 943.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.8194, kappa: 0.6175, kb_relative_information_score: 41.3659, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8195, predictive_accuracy: 0.8209, prior_entropy: 0.9656, recall: 0.8209, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7381, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, build_cpu_time: 6.1309, build_memory: 721765937.0746, f_measure: 0.8769, kappa: 0.7375, kb_relative_information_score: 36.0169, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4757, number_of_instances: 67, precision: 0.8895, predictive_accuracy: 0.8806, prior_entropy: 0.9656, recall: 0.8806, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4873, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6737, scimark_benchmark: 942.7014,

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