OpenML
Supervised Classification on pasture

Supervised Classification on pasture

Task 3827 Supervised Classification pasture 483 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

483 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, build_cpu_time: 0.0159, build_memory: 151712168.4444, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.1517, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.873, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, build_cpu_time: 0.0245, build_memory: 330078007.1111, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.1517, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.873, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, build_cpu_time: 0.0105, build_memory: 651001553.7778, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.4196, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9095, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, build_cpu_time: 0.0033, build_memory: 91573336.6667, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.4196, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9095, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, build_cpu_time: 0.0391, build_memory: 47851641.1111, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.7468, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8658, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, build_cpu_time: 0.2148, build_memory: 625886757.3333, f_measure: 0.8624, kappa: 0.6939, kb_relative_information_score: 24.0713, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8651, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7904, scimark_benchmark: 923.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, build_cpu_time: 0.119, build_memory: 1839305060, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 21.7555, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8654, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 0.0396, build_memory: 737855040.8889, f_measure: 0.8624, kappa: 0.6939, kb_relative_information_score: 24.0732, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8651, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.372, root_relative_squared_error: 0.789, scimark_benchmark: 944.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.0211, build_memory: 2436450530.4445, f_measure: 0.9185, kappa: 0.8235, kb_relative_information_score: 27.8454, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9333, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5695, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0045, build_memory: 126791016.2222, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 0.0025, build_memory: 1136962873.3333, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 26.2279, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6178, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.0079, build_memory: 1621362850.6667, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7694, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6686, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 0.0016, build_memory: 982477313.3333, f_measure: 0.7815, kappa: 0.52, kb_relative_information_score: 14.75, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.79, predictive_accuracy: 0.7778, prior_entropy: 0.9268, recall: 0.7778, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9312, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, build_cpu_time: 0.0001, build_memory: 334952207.1111, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.4196, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9095, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0155, build_memory: 1196422612.6667, f_measure: 0.5333, kb_relative_information_score: 7.8212, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.4444, predictive_accuracy: 0.6667, prior_entropy: 0.9268, recall: 0.6667, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2245, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, build_cpu_time: 0.0046, build_memory: 454021646.8889, f_measure: 0.8889, kappa: 0.75, kb_relative_information_score: 26.3928, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.707, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, build_cpu_time: 0.0072, build_memory: 10468080.8889, f_measure: 0.8624, kappa: 0.6939, kb_relative_information_score: 24.0713, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8651, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7904, scimark_benchmark: 905.7962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, build_cpu_time: 0.0026, build_memory: 488122992, f_measure: 0.7471, kappa: 0.4255, kb_relative_information_score: 16.0649, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7455, predictive_accuracy: 0.75, prior_entropy: 0.9268, recall: 0.75, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9872, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, build_cpu_time: 0.0004, build_memory: 74128040, f_measure: 0.811, kappa: 0.6038, kb_relative_information_score: 19.5018, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8473, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8809, scimark_benchmark: 946.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, build_cpu_time: 0.0032, build_memory: 1078220824, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 17.1733, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6844, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, build_cpu_time: 0.0031, build_memory: 1069960696, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 17.1733, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6844, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, build_cpu_time: 0.0044, build_memory: 707465660, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 21.5518, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8109, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, build_cpu_time: 0.0005, build_memory: 620362040.8889, f_measure: 0.7152, kappa: 0.3478, kb_relative_information_score: 12.4641, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7128, predictive_accuracy: 0.7222, prior_entropy: 0.9268, recall: 0.7222, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.527, root_relative_squared_error: 1.1178, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.0639, build_memory: 1061025245.3333, f_measure: 0.8907, kappa: 0.76, kb_relative_information_score: 23.0365, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8983, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6363, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, build_cpu_time: 0.0358, build_memory: 1599757233.7778, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 26.2283, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5787, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, build_cpu_time: 0.0379, build_memory: 776399819.5556, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 26.2283, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5787, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, build_cpu_time: 0.0383, build_memory: 806869048.8889, f_measure: 0.9174, kappa: 0.8163, kb_relative_information_score: 26.2283, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.9197, predictive_accuracy: 0.9167, prior_entropy: 0.9268, recall: 0.9167, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5787, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.1, build_memory: 828999245.7778, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.3143, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6316, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.068, build_memory: 690278986.2222, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.3143, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6316, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.0637, build_memory: 777949637.1111, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.3143, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6316, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 0.1409, build_memory: 614499793.3333, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.8681, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6168, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 0.1596, build_memory: 792588678, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.8681, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6168, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, build_cpu_time: 0.1562, build_memory: 493947006.4444, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.8681, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6168, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, build_cpu_time: 0.2684, build_memory: 978882508.2222, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.9285, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.6191, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.0211, build_memory: 360880152.4444, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 16.5309, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7062, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.0211, build_memory: 1028636049.7778, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 16.5309, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7062, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 0.0146, build_memory: 421814109.3333, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 16.2155, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7116, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, build_cpu_time: 0.0057, build_memory: 1562941712, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 15.5735, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.7309, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 0.0031, build_memory: 2475435464, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 17.6689, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.733, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 0.012, build_memory: 1360502313.3333, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 18.5552, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.676, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 0.0135, build_memory: 131650286.6667, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 18.5552, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.676, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 1.1473, build_memory: 324878562, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.0593, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6853, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 0.6841, build_memory: 1002491254.8889, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.2704, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6805, scimark_benchmark: 941.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 0.3364, build_memory: 891769316.4444, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.0966, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.6858, scimark_benchmark: 911.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 0.1788, build_memory: 1402975427.5556, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 16.6043, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6973, scimark_benchmark: 923.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, build_cpu_time: 0.1123, build_memory: 2375631102.6667, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.0785, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6806, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, build_cpu_time: 0.003, build_memory: 756357358.2222, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 14.8661, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7745, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, build_cpu_time: 0.0031, build_memory: 1182966448, f_measure: 0.8033, kappa: 0.5532, kb_relative_information_score: 15.7259, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8024, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.771, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, build_cpu_time: 0.0057, build_memory: 715819005.3333, f_measure: 0.8033, kappa: 0.5532, kb_relative_information_score: 15.7259, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8024, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.771, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, build_cpu_time: 0.1694, build_memory: 811343347.7778, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.4911, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7151, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, build_cpu_time: 0.01, build_memory: 513739989.1111, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 15.3311, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7655, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, build_cpu_time: 0.0472, build_memory: 1200216580.8889, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.7462, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.526, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7127, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.003, build_memory: 882229984, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 20.0395, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8981, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, build_cpu_time: 0.0212, build_memory: 131496084.2222, f_measure: 0.8361, kappa: 0.64, kb_relative_information_score: 17.4811, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8442, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7811, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, build_cpu_time: 13.3548, build_memory: 1996256706.4444, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 22.722, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6621, scimark_benchmark: 942.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 26.0095, build_memory: 527591028.8889, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 22.4041, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6697, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, build_cpu_time: 0.6963, build_memory: 453215957.7778, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.1738, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7806, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, build_cpu_time: 0.0207, build_memory: 657913936.8889, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 13.4862, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.8012, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, build_cpu_time: 0.3935, build_memory: 1167929905.5556, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 24.087, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7889, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, build_cpu_time: 0.0137, build_memory: 454267097.1111, f_measure: 0.8033, kappa: 0.5532, kb_relative_information_score: 14.5418, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8024, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7818, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 0.0077, build_memory: 55277245.3333, f_measure: 0.8291, kappa: 0.6087, kb_relative_information_score: 13.5476, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8308, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8054, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, build_cpu_time: 0.1187, build_memory: 2844016376, f_measure: 0.8889, kappa: 0.75, kb_relative_information_score: 26.3923, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.707, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 0.0035, build_memory: 1907436301.5556, f_measure: 0.8033, kappa: 0.5532, kb_relative_information_score: 13.7439, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8024, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.8142, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, build_cpu_time: 0.0015, build_memory: 1845718618.2222, f_measure: 0.8033, kappa: 0.5532, kb_relative_information_score: 14.3784, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8024, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8076, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, build_cpu_time: 0.1449, build_memory: 2885851866.4444, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 17.7551, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6935, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, build_cpu_time: 0.3095, build_memory: 154173177.3333, f_measure: 0.8333, kappa: 0.625, kb_relative_information_score: 18.0132, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9268, recall: 0.8333, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.694, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, build_cpu_time: 0.5306, build_memory: 49913520, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.6032, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6841, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.057, build_memory: 835524330.2222, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7758, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6773, scimark_benchmark: 942.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.0085, build_memory: 396949407.5556, f_measure: 0.8861, kappa: 0.7391, kb_relative_information_score: 18.7758, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8897, predictive_accuracy: 0.8889, prior_entropy: 0.9268, recall: 0.8889, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6773, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.8408, build_memory: 197081007.5556, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 18.4392, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6852, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0073, build_memory: 199355513.5556, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0039, build_memory: 1114872768, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0033, build_memory: 447450496, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0025, build_memory: 1047778165.3333, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0024, build_memory: 1512192400.8889, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 18.1447, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.8244, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, build_cpu_time: 0.0069, build_memory: 1539338528.8889, f_measure: 0.7778, kappa: 0.5, kb_relative_information_score: 13.56, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.7778, predictive_accuracy: 0.7778, prior_entropy: 0.9268, recall: 0.7778, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8387, scimark_benchmark: 937.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.1418, build_memory: 237145559.7778, f_measure: 0.8553, kappa: 0.6667, kb_relative_information_score: 14.2131, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8642, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7884, scimark_benchmark: 850.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, build_cpu_time: 0.055, build_memory: 339862968.2222, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 13.2039, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.8034, scimark_benchmark: 943.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, build_cpu_time: 0.0552, build_memory: 187798931.7778, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 13.2039, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.8034, scimark_benchmark: 945.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 0.0268, build_memory: 1008316259.3333, f_measure: 0.7974, kappa: 0.5333, kb_relative_information_score: 13.2182, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8025, predictive_accuracy: 0.8056, prior_entropy: 0.9268, recall: 0.8056, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.8024, scimark_benchmark: 946.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.0093, build_memory: 1418537385.3333, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 14.1176, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8112, scimark_benchmark: 926.1115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.0057, build_memory: 2461203685.3333, f_measure: 0.8595, kappa: 0.6809, kb_relative_information_score: 14.1176, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4474, number_of_instances: 36, precision: 0.8594, predictive_accuracy: 0.8611, prior_entropy: 0.9268, recall: 0.8611, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4715, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8112, scimark_benchmark: 945.5309,

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