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OpenML
Task
Supervised Classification on fri_c1_500_25

Supervised Classification on fri_c1_500_25

Task 3645 Supervised Classification fri_c1_500_25 565 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 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6179, kappa: 0.2345, kb_relative_information_score: 92.6212, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6236, predictive_accuracy: 0.624, prior_entropy: 0.9967, recall: 0.624, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0109, scimark_benchmark: 854.5188, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.3689, kappa: 0.0551, kb_relative_information_score: -5.3517, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7049, predictive_accuracy: 0.498, prior_entropy: 0.9967, recall: 0.498, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.7085, root_relative_squared_error: 1.4203, scimark_benchmark: 930.5999, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, f_measure: 0.3807, kappa: 0.0092, kb_relative_information_score: 34.9143, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7523, predictive_accuracy: 0.538, prior_entropy: 0.9967, recall: 0.538, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3626, scimark_benchmark: 887.6719, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6717, kappa: 0.3399, kb_relative_information_score: 169.8055, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6716, predictive_accuracy: 0.672, prior_entropy: 0.9967, recall: 0.672, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1481, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6975, kappa: 0.3917, kb_relative_information_score: 82.1609, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6975, predictive_accuracy: 0.698, prior_entropy: 0.9967, recall: 0.698, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.923, scimark_benchmark: 938.343, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6493, kappa: 0.2946, kb_relative_information_score: 147.6592, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6492, predictive_accuracy: 0.65, prior_entropy: 0.9967, recall: 0.65, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.186, scimark_benchmark: 939.449, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6693, kappa: 0.3349, kb_relative_information_score: 121.2067, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.9967, recall: 0.67, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9318, scimark_benchmark: 1304.6687, usercpu_time_millis: 5740, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8414, kappa: 0.6809, kb_relative_information_score: 290.4359, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8432, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6603, scimark_benchmark: 1290.1085, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8238, kappa: 0.6458, kb_relative_information_score: 285.9188, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8239, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7578, scimark_benchmark: 1250.8301, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 235.702, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6685, scimark_benchmark: 1318.1432, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7237, kappa: 0.4445, kb_relative_information_score: 222.1513, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7237, predictive_accuracy: 0.724, prior_entropy: 0.9967, recall: 0.724, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0532, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8409, kappa: 0.6802, kb_relative_information_score: 295.0965, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8449, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7163, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.8233, kappa: 0.6446, kb_relative_information_score: 287.8411, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8248, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7834, scimark_benchmark: 1355.7054, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.5981, kappa: 0.2064, kb_relative_information_score: 111.4197, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6186, predictive_accuracy: 0.614, prior_entropy: 0.9967, recall: 0.614, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2455, scimark_benchmark: 1341.5768, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2963, kb_relative_information_score: -37.5645, mean_absolute_error: 0.534, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2172, predictive_accuracy: 0.466, prior_entropy: 0.9967, recall: 0.466, relative_absolute_error: 1.0729, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.7308, root_relative_squared_error: 1.4649, scimark_benchmark: 1363.454, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8355, kappa: 0.669, kb_relative_information_score: 315.8385, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8367, predictive_accuracy: 0.836, prior_entropy: 0.9967, recall: 0.836, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.758, scimark_benchmark: 1465.2979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6953, kappa: 0.3872, kb_relative_information_score: 193.9651, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6955, predictive_accuracy: 0.696, prior_entropy: 0.9967, recall: 0.696, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1053, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.832, kappa: 0.6623, kb_relative_information_score: 330.8695, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8319, predictive_accuracy: 0.832, prior_entropy: 0.9967, recall: 0.832, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8217, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.808, kappa: 0.6142, kb_relative_information_score: 301.8196, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9967, recall: 0.808, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8457, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6448, kappa: 0.2854, kb_relative_information_score: 147.9361, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.645, predictive_accuracy: 0.646, prior_entropy: 0.9967, recall: 0.646, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1105, scimark_benchmark: 931.2336, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 945.6434, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 923.7642, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 894.7455, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8638, kappa: 0.726, kb_relative_information_score: 359.838, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 0.9967, recall: 0.864, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6792, scimark_benchmark: 936.6206, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8658, kappa: 0.7301, kb_relative_information_score: 357.7232, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9967, recall: 0.866, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6771, scimark_benchmark: 943.2817, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8497, kappa: 0.6977, kb_relative_information_score: 331.2175, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.71, scimark_benchmark: 911.3823, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8359, kappa: 0.6701, kb_relative_information_score: 321.1055, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8359, predictive_accuracy: 0.836, prior_entropy: 0.9967, recall: 0.836, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7405, scimark_benchmark: 922.9039, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7639, kappa: 0.5307, kb_relative_information_score: 248.8198, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7726, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8434, scimark_benchmark: 938.4278, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8639, kappa: 0.7263, kb_relative_information_score: 347.0053, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9967, recall: 0.864, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6497, scimark_benchmark: 936.6206, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8739, kappa: 0.7463, kb_relative_information_score: 306.9217, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8741, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6266, scimark_benchmark: 947.9494, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, build_cpu_time: 0.5415, build_memory: 198635860, f_measure: 0.7915, kappa: 0.5807, kb_relative_information_score: 290.5856, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9967, recall: 0.792, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8957, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, build_cpu_time: 0.2465, build_memory: 890432945.6, f_measure: 0.78, kappa: 0.558, kb_relative_information_score: 279.6041, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9967, recall: 0.78, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.448, root_relative_squared_error: 0.8981, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 0.1899, build_memory: 602024863.2, f_measure: 0.7981, kappa: 0.5945, kb_relative_information_score: 288.3648, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7982, predictive_accuracy: 0.798, prior_entropy: 0.9967, recall: 0.798, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8608, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, build_cpu_time: 0.0956, build_memory: 1499277716, f_measure: 0.7599, kappa: 0.5175, kb_relative_information_score: 251.7892, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7599, predictive_accuracy: 0.76, prior_entropy: 0.9967, recall: 0.76, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.909, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, build_cpu_time: 0.0306, build_memory: 653505340.8, f_measure: 0.7641, kappa: 0.5261, kb_relative_information_score: 229.9273, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7641, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8964, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, build_cpu_time: 0.0413, build_memory: 720815220, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, build_cpu_time: 0.0414, build_memory: 947746284, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, build_cpu_time: 0.0661, build_memory: 603780862.4, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 39.4963, build_memory: 100833335.2, f_measure: 0.8153, kappa: 0.6285, kb_relative_information_score: 302.034, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8168, predictive_accuracy: 0.816, prior_entropy: 0.9967, recall: 0.816, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7506, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, build_cpu_time: 85.7074, build_memory: 23356917.6, f_measure: 0.8252, kappa: 0.6484, kb_relative_information_score: 324.3805, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8273, predictive_accuracy: 0.826, prior_entropy: 0.9967, recall: 0.826, relative_absolute_error: 0.3538, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7511, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, build_cpu_time: 158.4601, build_memory: 215459101.6, f_measure: 0.8414, kappa: 0.6809, kb_relative_information_score: 339.2776, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8432, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7561, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, build_cpu_time: 646.2632, build_memory: 33248167.2, f_measure: 0.8619, kappa: 0.7225, kb_relative_information_score: 359.4808, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8619, predictive_accuracy: 0.862, prior_entropy: 0.9967, recall: 0.862, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7354, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, build_cpu_time: 35.8008, build_memory: 601337136.8, f_measure: 0.876, kappa: 0.7507, kb_relative_information_score: 375.3535, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6981, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 18.2036, build_memory: 70258048.8, f_measure: 0.8679, kappa: 0.7345, kb_relative_information_score: 366.43, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7161, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 8.5358, build_memory: 52249885.6, f_measure: 0.8579, kappa: 0.7144, kb_relative_information_score: 354.5797, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9967, recall: 0.858, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7359, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, build_cpu_time: 3.6613, build_memory: 680609036, f_measure: 0.844, kappa: 0.6864, kb_relative_information_score: 337.98, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9967, recall: 0.844, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7546, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, build_cpu_time: 1.1279, build_memory: 984587356.8, f_measure: 0.86, kappa: 0.7185, kb_relative_information_score: 343.3947, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, build_cpu_time: 2.2475, build_memory: 999192610.4, f_measure: 0.8579, kappa: 0.7144, kb_relative_information_score: 354.4012, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9967, recall: 0.858, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.716, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 4.5066, build_memory: 253426049.6, f_measure: 0.8598, kappa: 0.7181, kb_relative_information_score: 359.7381, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9967, recall: 0.86, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7241, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 8.261, build_memory: 200359742.4, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 379.3059, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6812, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, build_cpu_time: 17.4926, build_memory: 308202640, f_measure: 0.8818, kappa: 0.7623, kb_relative_information_score: 381.4357, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6798, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, build_cpu_time: 2.6139, build_memory: 176197071.2, f_measure: 0.8639, kappa: 0.7264, kb_relative_information_score: 360.0567, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8639, predictive_accuracy: 0.864, prior_entropy: 0.9967, recall: 0.864, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7167, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 2.6959, build_memory: 994328846.4, f_measure: 0.8619, kappa: 0.7223, kb_relative_information_score: 357.4032, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.862, predictive_accuracy: 0.862, prior_entropy: 0.9967, recall: 0.862, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7233, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, build_cpu_time: 1.5237, build_memory: 288920195.2, f_measure: 0.864, kappa: 0.7267, kb_relative_information_score: 359.5994, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9967, recall: 0.864, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7106, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, build_cpu_time: 1.0427, build_memory: 1492867356.8, f_measure: 0.85, kappa: 0.6985, kb_relative_information_score: 345.5257, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.3093, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7441, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 0.4826, build_memory: 603359732.8, f_measure: 0.846, kappa: 0.6905, kb_relative_information_score: 344.6154, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7238, scimark_benchmark: 902.712,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs