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OpenML
Task
Supervised Classification on disclosure_x_noise

Supervised Classification on disclosure_x_noise

Task 3692 Supervised Classification disclosure_x_noise 541 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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Metric:

541 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4522, f_measure: 0.4486, kappa: -0.1027, kb_relative_information_score: -35.8318, mean_absolute_error: 0.5236, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4487, predictive_accuracy: 0.4486, prior_entropy: 1, recall: 0.4486, relative_absolute_error: 1.0473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.2089, scimark_benchmark: 939.5088, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.4105, kappa: 0.023, kb_relative_information_score: 11.9659, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5352, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4014, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3367, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 1333.5799, usercpu_time_millis: 440, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5456, kappa: 0.0986, kb_relative_information_score: 65.9687, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5511, predictive_accuracy: 0.5498, prior_entropy: 1, recall: 0.5498, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6709, root_relative_squared_error: 1.3419, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.536, kappa: 0.0722, kb_relative_information_score: 6.9311, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5362, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, scimark_benchmark: 934.6432, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.4633, kappa: 0.0415, kb_relative_information_score: 29.9668, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5369, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6909, root_relative_squared_error: 1.3818, scimark_benchmark: 916.5955, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5163, kappa: 0.0498, kb_relative_information_score: 7.8924, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5269, predictive_accuracy: 0.5257, prior_entropy: 1, recall: 0.5257, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1028.5889, usercpu_time_millis: 1080, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5022, kappa: 0.0065, kb_relative_information_score: 3.9654, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5033, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 1250.8301, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0106, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3602, kappa: 0.0034, kb_relative_information_score: 1.2704, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5166, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0051, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, f_measure: 0.4592, kappa: -0.0815, kb_relative_information_score: -21.0796, mean_absolute_error: 0.5134, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4592, predictive_accuracy: 0.4592, prior_entropy: 1, recall: 0.4592, relative_absolute_error: 1.0267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.0879, scimark_benchmark: 1307.4861, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4652, f_measure: 0.4652, kappa: -0.0696, kb_relative_information_score: -46.0372, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4652, predictive_accuracy: 0.4653, prior_entropy: 1, recall: 0.4653, relative_absolute_error: 1.0695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7313, root_relative_squared_error: 1.4625, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4989, kappa: -0.0006, kb_relative_information_score: -9.475, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4997, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5552, root_relative_squared_error: 1.1105, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.4918, kappa: -0.0129, kb_relative_information_score: -4.7752, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4935, predictive_accuracy: 0.494, prior_entropy: 1, recall: 0.494, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.542, root_relative_squared_error: 1.0841, scimark_benchmark: 1290.1085, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, f_measure: 0.4572, kappa: -0.0842, kb_relative_information_score: -56.0377, mean_absolute_error: 0.5423, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4577, predictive_accuracy: 0.4577, prior_entropy: 1, recall: 0.4577, relative_absolute_error: 1.0846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7364, root_relative_squared_error: 1.4728, scimark_benchmark: 825.5282, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.3437, kappa: 0.0028, kb_relative_information_score: -2.0349, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5268, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4164, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.981, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0066, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.518, kappa: 0.0364, kb_relative_information_score: 23.9665, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5182, predictive_accuracy: 0.5181, prior_entropy: 1, recall: 0.5181, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6942, root_relative_squared_error: 1.3884, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4833, kappa: -0.0022, kb_relative_information_score: -0.0348, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4988, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.3367, kb_relative_information_score: -0.0107, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3578, kappa: 0.0033, kb_relative_information_score: 0.971, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5185, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0067, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.5146, kappa: 0.0409, kb_relative_information_score: 10.7875, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5216, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0156, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 1.6226, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 1.6226, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 1.6226, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.511, kappa: 0.0435, kb_relative_information_score: 6.7263, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.524, predictive_accuracy: 0.5227, prior_entropy: 1, recall: 0.5227, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.075, scimark_benchmark: 911.3823, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.5153, kappa: 0.041, kb_relative_information_score: 5.329, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5215, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0697, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.4972, kappa: 0.0339, kb_relative_information_score: 10.1348, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5202, predictive_accuracy: 0.5181, prior_entropy: 1, recall: 0.5181, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0538, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.5111, kappa: 0.0406, kb_relative_information_score: 5.7601, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5221, predictive_accuracy: 0.5211, prior_entropy: 1, recall: 0.5211, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0531, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.4568, kappa: 0.0055, kb_relative_information_score: 8.6732, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5042, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0457, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.4924, kappa: -0.0153, kb_relative_information_score: -9.5057, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4924, predictive_accuracy: 0.4924, prior_entropy: 1, recall: 0.4924, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5363, root_relative_squared_error: 1.0726, scimark_benchmark: 936.6206, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4922, kappa: -0.0154, kb_relative_information_score: -6.3549, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4923, predictive_accuracy: 0.4924, prior_entropy: 1, recall: 0.4924, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.511, kappa: 0.0263, kb_relative_information_score: 1.0822, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5134, predictive_accuracy: 0.5136, prior_entropy: 1, recall: 0.5136, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.518, root_relative_squared_error: 1.036, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, build_cpu_time: 0.0166, build_memory: 430655595.9396, f_measure: 0.4939, kappa: -0.012, kb_relative_information_score: -2.6445, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.494, predictive_accuracy: 0.494, prior_entropy: 1, recall: 0.494, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2035, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, build_cpu_time: 0.0078, build_memory: 186756915.6495, f_measure: 0.5022, kappa: 0.0196, kb_relative_information_score: 1.6226, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5105, predictive_accuracy: 0.5106, prior_entropy: 1, recall: 0.5106, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0047, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, build_cpu_time: 10.3535, build_memory: 945834004.3746, f_measure: 0.4815, kappa: -0.0366, kb_relative_information_score: -0.5808, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4817, predictive_accuracy: 0.4819, prior_entropy: 1, recall: 0.4819, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.041, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, build_cpu_time: 21.0921, build_memory: 23414482.8882, f_measure: 0.4985, kappa: -0.0029, kb_relative_information_score: 0.7309, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4986, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0696, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, build_cpu_time: 42.3106, build_memory: 3148424130.4411, f_measure: 0.5045, kappa: 0.009, kb_relative_information_score: -2.4067, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5045, predictive_accuracy: 0.5045, prior_entropy: 1, recall: 0.5045, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5555, root_relative_squared_error: 1.1111, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, build_cpu_time: 1.5639, build_memory: 160017087.9396, f_measure: 0.5043, kappa: 0.0141, kb_relative_information_score: -1.7107, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5073, predictive_accuracy: 0.5076, prior_entropy: 1, recall: 0.5076, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0252, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4775, build_cpu_time: 0.1986, build_memory: 338301731.8066, f_measure: 0.4736, kappa: -0.0518, kb_relative_information_score: -10.4047, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.474, predictive_accuracy: 0.4743, prior_entropy: 1, recall: 0.4743, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.071, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, build_cpu_time: 0.439, build_memory: 890604349.2568, f_measure: 0.4742, kappa: -0.0516, kb_relative_information_score: -18.6877, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4742, predictive_accuracy: 0.4743, prior_entropy: 1, recall: 0.4743, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5551, root_relative_squared_error: 1.1103, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4725, build_cpu_time: 0.8477, build_memory: 170301348.4592, f_measure: 0.4939, kappa: -0.0122, kb_relative_information_score: -17.2464, mean_absolute_error: 0.5129, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4939, predictive_accuracy: 0.494, prior_entropy: 1, recall: 0.494, relative_absolute_error: 1.0259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1522, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4453, build_cpu_time: 1.596, build_memory: 766873285.6677, f_measure: 0.4562, kappa: -0.0875, kb_relative_information_score: -43.342, mean_absolute_error: 0.5299, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4562, predictive_accuracy: 0.4562, prior_entropy: 1, recall: 0.4562, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6135, root_relative_squared_error: 1.227, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, build_cpu_time: 0.0737, build_memory: 926389643.6737, f_measure: 0.5002, kappa: 0.0024, kb_relative_information_score: -0.6979, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5012, predictive_accuracy: 0.5015, prior_entropy: 1, recall: 0.5015, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0237, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, build_cpu_time: 0.1037, build_memory: 602078040.7372, f_measure: 0.5002, kappa: 0.0024, kb_relative_information_score: -0.6979, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5012, predictive_accuracy: 0.5015, prior_entropy: 1, recall: 0.5015, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0237, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, build_cpu_time: 0.0696, build_memory: 296596011.4924, f_measure: 0.5002, kappa: 0.0024, kb_relative_information_score: -0.6979, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.5012, predictive_accuracy: 0.5015, prior_entropy: 1, recall: 0.5015, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0237, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, build_cpu_time: 0.066, build_memory: 1322663909.8006, f_measure: 0.4881, kappa: -0.0218, kb_relative_information_score: -1.6412, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.489, predictive_accuracy: 0.4894, prior_entropy: 1, recall: 0.4894, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0246, scimark_benchmark: 933.4498,

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