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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on analcatdata_runshoes

Supervised Classification on analcatdata_runshoes

Task 3707 Supervised Classification analcatdata_runshoes 469 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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469 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, build_cpu_time: 0.0045, build_memory: 1077208576, f_measure: 0.7349, kappa: 0.4521, kb_relative_information_score: 26.632, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.738, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9815, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, build_cpu_time: 0.0171, build_memory: 526165341.6, f_measure: 0.7188, kappa: 0.4218, kb_relative_information_score: 24.3365, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7246, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0551, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, build_cpu_time: 0.0574, build_memory: 817442712, f_measure: 0.6843, kappa: 0.3448, kb_relative_information_score: 19.8228, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6857, predictive_accuracy: 0.6833, prior_entropy: 0.9728, recall: 0.6833, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1235, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, build_cpu_time: 0.0703, build_memory: 410566606.4, f_measure: 0.7188, kappa: 0.4218, kb_relative_information_score: 23.8523, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7246, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0863, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0125, build_memory: 619999511.2, f_measure: 0.5874, kappa: 0.1611, kb_relative_information_score: 6.807, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.5996, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2944, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0125, build_memory: 412984916.8, f_measure: 0.5874, kappa: 0.1611, kb_relative_information_score: 6.807, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.5996, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2944, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0067, build_memory: 58569234.4, f_measure: 0.5874, kappa: 0.1611, kb_relative_information_score: 6.807, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.5996, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2944, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, build_cpu_time: 0.0303, build_memory: 57573889.6, f_measure: 0.6453, kappa: 0.2553, kb_relative_information_score: 15.4725, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.644, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0575, scimark_benchmark: 941.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, build_cpu_time: 0.3054, build_memory: 700343299.2, f_measure: 0.6527, kappa: 0.2857, kb_relative_information_score: 18.2049, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6586, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1376, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, build_cpu_time: 0.156, build_memory: 1382003996, f_measure: 0.7156, kappa: 0.4056, kb_relative_information_score: 23.7912, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7149, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5302, root_relative_squared_error: 1.0822, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, build_cpu_time: 0.0966, build_memory: 616960365.6, f_measure: 0.6821, kappa: 0.3357, kb_relative_information_score: 19.3129, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6813, predictive_accuracy: 0.6833, prior_entropy: 0.9728, recall: 0.6833, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1106, scimark_benchmark: 916.0736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, build_cpu_time: 0.0836, build_memory: 52215137.6, f_measure: 0.6686, kappa: 0.3151, kb_relative_information_score: 19.0716, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6719, predictive_accuracy: 0.6667, prior_entropy: 0.9728, recall: 0.6667, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0817, scimark_benchmark: 930.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, build_cpu_time: 0.0006, build_memory: 1416860648, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 9.6927, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0103, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 0.0179, build_memory: 908095061.6, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 19.0971, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8681, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, build_cpu_time: 0.0016, build_memory: 127530824, f_measure: 0.8181, kappa: 0.6259, kb_relative_information_score: 30.0293, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.8236, predictive_accuracy: 0.8167, prior_entropy: 0.9728, recall: 0.8167, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7867, scimark_benchmark: 938.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, build_cpu_time: 0.0002, build_memory: 965758539.2, f_measure: 0.5874, kappa: 0.1611, kb_relative_information_score: 6.807, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.5996, predictive_accuracy: 0.5833, prior_entropy: 0.9728, recall: 0.5833, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6341, root_relative_squared_error: 1.2944, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0041, build_memory: 975702001.6, f_measure: 0.45, kb_relative_information_score: 9.1867, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9728, recall: 0.6, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.291, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, build_cpu_time: 0.0036, build_memory: 212650217.6, f_measure: 0.6511, kappa: 0.2759, kb_relative_information_score: 15.5243, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6526, predictive_accuracy: 0.65, prior_entropy: 0.9728, recall: 0.65, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2076, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, build_cpu_time: 0.0044, build_memory: 300883096, f_measure: 0.7311, kappa: 0.4366, kb_relative_information_score: 26.087, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7306, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0541, scimark_benchmark: 942.9216,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, build_cpu_time: 1.6889, build_memory: 2065071260, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 17.7496, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8654, scimark_benchmark: 942.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, build_cpu_time: 0.4436, build_memory: 671442357.6, f_measure: 0.784, kappa: 0.5517, kb_relative_information_score: 18.1516, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7851, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.859, scimark_benchmark: 908.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, build_cpu_time: 0.1459, build_memory: 1313581240.8, f_measure: 0.7647, kappa: 0.507, kb_relative_information_score: 17.8891, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7646, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8762, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 0.2788, build_memory: 910190293.6, f_measure: 0.7984, kappa: 0.5775, kb_relative_information_score: 19.9996, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7986, predictive_accuracy: 0.8, prior_entropy: 0.9728, recall: 0.8, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8434, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 0.002, build_memory: 337869145.6, f_measure: 0.7436, kappa: 0.4604, kb_relative_information_score: 21.2917, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7484, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.6536, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9093, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, build_cpu_time: 0.0041, build_memory: 1539376323.2, f_measure: 0.7129, kappa: 0.3972, kb_relative_information_score: 18.7603, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7128, predictive_accuracy: 0.7167, prior_entropy: 0.9728, recall: 0.7167, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9244, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, build_cpu_time: 0.0292, build_memory: 172791851.2, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 17.4432, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, build_cpu_time: 0.0298, build_memory: 555157231.2, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 17.4432, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8785, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 0.0155, build_memory: 538207610.4, f_measure: 0.7667, kappa: 0.5139, kb_relative_information_score: 21.2896, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7667, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8975, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, build_cpu_time: 0.0165, build_memory: 81506966.4, f_measure: 0.6901, kappa: 0.3478, kb_relative_information_score: 19.2132, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6952, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9058, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, build_cpu_time: 9.6628, build_memory: 3270206189.6, f_measure: 0.8172, kappa: 0.6207, kb_relative_information_score: 18.8371, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.8183, predictive_accuracy: 0.8167, prior_entropy: 0.9728, recall: 0.8167, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9113, scimark_benchmark: 943.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, build_cpu_time: 19.8185, build_memory: 262377780, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 18.9034, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9092, scimark_benchmark: 943.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, build_cpu_time: 0.0224, build_memory: 2805510504, f_measure: 0.7825, kappa: 0.5455, kb_relative_information_score: 12.8295, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7821, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8983, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.011, build_memory: 292685885.6, f_measure: 0.7667, kappa: 0.5139, kb_relative_information_score: 13.4703, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7667, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.437, root_relative_squared_error: 0.892, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, build_cpu_time: 0.008, build_memory: 272790573.6, f_measure: 0.7825, kappa: 0.5455, kb_relative_information_score: 13.4916, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7821, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8926, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, build_cpu_time: 0.0037, build_memory: 27475183.2, f_measure: 0.7647, kappa: 0.507, kb_relative_information_score: 13.6372, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7646, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8998, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, build_cpu_time: 0.0022, build_memory: 1636490172.8, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 14.0312, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9118, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, build_cpu_time: 0.2496, build_memory: 293013851.2, f_measure: 0.6975, kappa: 0.3662, kb_relative_information_score: 13.0386, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.6967, predictive_accuracy: 0.7, prior_entropy: 0.9728, recall: 0.7, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9554, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, build_cpu_time: 0.4727, build_memory: 613212264, f_measure: 0.7311, kappa: 0.4366, kb_relative_information_score: 15.4959, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7306, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.905, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, build_cpu_time: 0.8202, build_memory: 1148935984, f_measure: 0.7333, kappa: 0.4444, kb_relative_information_score: 15.751, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 0.9728, recall: 0.7333, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9014, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 1.6256, build_memory: 728690966.4, f_measure: 0.7647, kappa: 0.507, kb_relative_information_score: 16.7787, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7646, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8876, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 3.1357, build_memory: 2196301197.6, f_measure: 0.7804, kappa: 0.539, kb_relative_information_score: 16.4443, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7817, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8867, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, build_cpu_time: 0.1835, build_memory: 1929190828, f_measure: 0.7825, kappa: 0.5455, kb_relative_information_score: 31.5404, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7821, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9544, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.1436, build_memory: 1197131405.6, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 28.3907, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0128, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, build_cpu_time: 0.0636, build_memory: 46113105.6, f_measure: 0.7647, kappa: 0.507, kb_relative_information_score: 29.8093, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7646, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9867, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, build_cpu_time: 0.0683, build_memory: 948777377.6, f_measure: 0.7647, kappa: 0.507, kb_relative_information_score: 29.8093, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7646, predictive_accuracy: 0.7667, prior_entropy: 0.9728, recall: 0.7667, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9867, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, build_cpu_time: 0.0227, build_memory: 474360120, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 28.0667, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0178, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, build_cpu_time: 0.0211, build_memory: 121338072, f_measure: 0.7491, kappa: 0.4755, kb_relative_information_score: 28.0667, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7485, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0178, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, build_cpu_time: 0.0128, build_memory: 535436108, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 28.0591, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0175, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, build_cpu_time: 0.0853, build_memory: 2186700313.6, f_measure: 0.8333, kappa: 0.6528, kb_relative_information_score: 21.0689, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9728, recall: 0.8333, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8379, scimark_benchmark: 941.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, build_cpu_time: 0.1237, build_memory: 440676461.6, f_measure: 0.8333, kappa: 0.6528, kb_relative_information_score: 20.5648, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 0.9728, recall: 0.8333, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8416, scimark_benchmark: 945.1266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, build_cpu_time: 0.0678, build_memory: 1574254287.2, f_measure: 0.7825, kappa: 0.5455, kb_relative_information_score: 16.2232, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7821, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8973, scimark_benchmark: 950.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, build_cpu_time: 0.0214, build_memory: 892224944, f_measure: 0.7825, kappa: 0.5455, kb_relative_information_score: 16.8257, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7821, predictive_accuracy: 0.7833, prior_entropy: 0.9728, recall: 0.7833, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.435, root_relative_squared_error: 0.888, scimark_benchmark: 934.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.772, build_cpu_time: 0.0188, build_memory: 2252482652, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 16.551, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8892, scimark_benchmark: 938.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, build_cpu_time: 0.0081, build_memory: 4062170150.4, f_measure: 0.7467, kappa: 0.4681, kb_relative_information_score: 17.4094, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4806, number_of_instances: 60, precision: 0.7473, predictive_accuracy: 0.75, prior_entropy: 0.9728, recall: 0.75, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8804, scimark_benchmark: 936.8453,

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