OpenML
Supervised Classification on prnn_crabs

Supervised Classification on prnn_crabs

Task 3539 Supervised Classification prnn_crabs 546 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.92, kappa: 0.84, kb_relative_information_score: 118.6456, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9207, predictive_accuracy: 0.92, prior_entropy: 1, recall: 0.92, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.5922, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8498, kappa: 0.7, kb_relative_information_score: 90.7882, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8523, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7081, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 940.2922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 188.5799, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9808, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.2345, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7643, kappa: 0.53, kb_relative_information_score: 67.399, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.7682, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8301, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.945, kappa: 0.89, kb_relative_information_score: 159.3613, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9454, predictive_accuracy: 0.945, prior_entropy: 1, recall: 0.945, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4779, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8496, kappa: 0.7, kb_relative_information_score: 89.2358, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8535, predictive_accuracy: 0.85, prior_entropy: 1, recall: 0.85, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7111, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 167.0849, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.5255, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 78.9971, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9107, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7167, scimark_benchmark: 933.8635, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.6546, kappa: 0.31, kb_relative_information_score: 40.7935, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6558, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8873, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.93, kappa: 0.86, kb_relative_information_score: 172.5179, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9307, predictive_accuracy: 0.93, prior_entropy: 1, recall: 0.93, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5187, scimark_benchmark: 945.3151, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.935, kappa: 0.87, kb_relative_information_score: 173.9999, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5099, scimark_benchmark: 1109.8407, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6022, kappa: 0.22, kb_relative_information_score: 20.4724, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6194, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 165.1397, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5813, scimark_benchmark: 931.4202, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, f_measure: 0.5726, kappa: 0.15, kb_relative_information_score: 30, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.5767, predictive_accuracy: 0.575, prior_entropy: 1, recall: 0.575, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3038, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.985, kappa: 0.97, kb_relative_information_score: 194, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9854, predictive_accuracy: 0.985, prior_entropy: 1, recall: 0.985, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2449, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.5638, build_memory: 440546479.2, f_measure: 0.99, kappa: 0.98, kb_relative_information_score: 193.4883, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 1, recall: 0.99, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1883, scimark_benchmark: 928.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.2219, build_memory: 941827310.4, f_measure: 0.985, kappa: 0.97, kb_relative_information_score: 192.2566, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 1, recall: 0.985, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2023, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.1269, build_memory: 1830069838.4, f_measure: 0.98, kappa: 0.96, kb_relative_information_score: 190.6358, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 1, recall: 0.98, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.2321, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, build_cpu_time: 0.0547, build_memory: 587335646.4, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 184.259, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3258, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, build_cpu_time: 0.016, build_memory: 1021786374.4, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 175.2707, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.229, root_relative_squared_error: 0.458, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 0.0224, build_memory: 166199268, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 177.1505, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9402, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4542, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.0628, build_memory: 128514315.2, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 178.6554, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4488, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 0.0568, build_memory: 575074597.6, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 179.4916, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4467, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, build_cpu_time: 0.0644, build_memory: 283260704, f_measure: 0.95, kappa: 0.9, kb_relative_information_score: 179.4916, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 1, recall: 0.95, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4467, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, build_cpu_time: 0.0981, build_memory: 328141678.4, f_measure: 0.955, kappa: 0.91, kb_relative_information_score: 181.5592, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.0928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4238, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0054, build_memory: 875055668, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 142, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7616, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0348, build_memory: 26641708, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 142, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7616, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0026, build_memory: 1804011582.4, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 142, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7616, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0018, build_memory: 2273948408, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 142, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7616, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.0016, build_memory: 1514619758.4, f_measure: 0.8549, kappa: 0.71, kb_relative_information_score: 142, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8559, predictive_accuracy: 0.855, prior_entropy: 1, recall: 0.855, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7616, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 0.0378, build_memory: 195396453.6, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 143.1685, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4851, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 0.0555, build_memory: 111553269.6, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 143.1685, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4851, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 0.0541, build_memory: 38610724.8, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 143.1685, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4851, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 0.0358, build_memory: 79962773.6, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 143.1685, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4851, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, build_cpu_time: 0.0382, build_memory: 90492823.2, f_measure: 0.94, kappa: 0.88, kb_relative_information_score: 143.1685, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4851, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, build_cpu_time: 0.0691, build_memory: 1467967208, f_measure: 0.6797, kappa: 0.36, kb_relative_information_score: 70.6722, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6807, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5579, root_relative_squared_error: 1.1158, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, build_cpu_time: 0.0074, build_memory: 827691777.6, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 152.5311, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5953, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, build_cpu_time: 0.0073, build_memory: 1647323012.8, f_measure: 0.905, kappa: 0.81, kb_relative_information_score: 152.5311, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.905, predictive_accuracy: 0.905, prior_entropy: 1, recall: 0.905, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5953, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, build_cpu_time: 0.0005, build_memory: 310580014.4, f_measure: 0.97, kappa: 0.94, kb_relative_information_score: 186.5055, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 1, recall: 0.97, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3447, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.575, build_cpu_time: 0.019, build_memory: 980801008.8, f_measure: 0.5726, kappa: 0.15, kb_relative_information_score: 30, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.5767, predictive_accuracy: 0.575, prior_entropy: 1, recall: 0.575, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.3038, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, build_cpu_time: 0.0053, build_memory: 217243795.2, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 186, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3742, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, build_cpu_time: 0.0126, build_memory: 334130043.2, f_measure: 0.985, kappa: 0.97, kb_relative_information_score: 194, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9854, predictive_accuracy: 0.985, prior_entropy: 1, recall: 0.985, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2449, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0088, build_memory: 236843216.8, f_measure: 1, kappa: 1, kb_relative_information_score: 199.9972, mean_absolute_error: 0, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, build_cpu_time: 0.0092, build_memory: 602895866.4, f_measure: 0.91, kappa: 0.82, kb_relative_information_score: 137.1457, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 1, recall: 0.91, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5291, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, build_cpu_time: 0.0075, build_memory: 753033249.6, f_measure: 0.8099, kappa: 0.62, kb_relative_information_score: 76.0711, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.8105, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7782, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, build_cpu_time: 0.0001, build_memory: 481825086.4, f_measure: 0.6944, kappa: 0.39, kb_relative_information_score: 78, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6966, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1045, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, build_cpu_time: 0.0003, build_memory: 254945112, f_measure: 0.6944, kappa: 0.39, kb_relative_information_score: 78, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6966, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1045, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, build_cpu_time: 0.0007, build_memory: 660587104, f_measure: 0.6944, kappa: 0.39, kb_relative_information_score: 78, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.6966, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1045, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0001, build_memory: 900315886.4, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, build_cpu_time: 0.0368, build_memory: 1227631440.8, f_measure: 0.5766, kappa: 0.16, kb_relative_information_score: 32, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.5827, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0869, build_memory: 628120068.8, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 198.1699, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 1, recall: 0.995, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.057, root_relative_squared_error: 0.114, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, build_cpu_time: 0.0594, build_memory: 533144033.6, f_measure: 0.9348, kappa: 0.87, kb_relative_information_score: 173.9539, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9403, predictive_accuracy: 0.935, prior_entropy: 1, recall: 0.935, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.435, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, build_cpu_time: 0.1164, build_memory: 508084372.8, f_measure: 0.9399, kappa: 0.88, kb_relative_information_score: 174.8274, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9444, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3902, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, build_cpu_time: 0.2303, build_memory: 771505512, f_measure: 0.9399, kappa: 0.88, kb_relative_information_score: 175.5412, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9444, predictive_accuracy: 0.94, prior_entropy: 1, recall: 0.94, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3825, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, build_cpu_time: 0.4739, build_memory: 767996744.8, f_measure: 0.96, kappa: 0.92, kb_relative_information_score: 177.3486, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.9617, predictive_accuracy: 0.96, prior_entropy: 1, recall: 0.96, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3584, scimark_benchmark: 937.84,

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