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OpenML
OpenML
Supervised Classification on fri_c4_100_50

Supervised Classification on fri_c4_100_50

Task 3795 Supervised Classification fri_c4_100_50 587 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: 0.5024, f_measure: 0.4967, kappa: -0.0135, kb_relative_information_score: 0.8163, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4997, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.157, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4562, f_measure: 0.4654, kappa: -0.0887, kb_relative_information_score: -8.1885, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.463, predictive_accuracy: 0.47, prior_entropy: 0.99, recall: 0.47, relative_absolute_error: 1.0752, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.728, root_relative_squared_error: 1.4666, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1333.5799, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, f_measure: 0.521, kappa: 0.0307, kb_relative_information_score: 2.0142, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5224, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3957, scimark_benchmark: 1250.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4123, f_measure: 0.4337, kappa: -0.1532, kb_relative_information_score: -6.5366, mean_absolute_error: 0.5176, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4305, predictive_accuracy: 0.44, prior_entropy: 0.99, recall: 0.44, relative_absolute_error: 1.0501, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.1026, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4253, f_measure: 0.4316, kappa: -0.1483, kb_relative_information_score: -16.3506, mean_absolute_error: 0.57, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4339, predictive_accuracy: 0.43, prior_entropy: 0.99, recall: 0.43, relative_absolute_error: 1.1563, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.755, root_relative_squared_error: 1.521, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.5494, kappa: 0.0846, kb_relative_information_score: -0.1882, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5489, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1302, scimark_benchmark: 924.3698, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5339, kappa: 0.0662, kb_relative_information_score: 10.1763, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5454, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 918.6491, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 39.7726, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8976, scimark_benchmark: 934.0566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4512, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8939, scimark_benchmark: 935.4444, usercpu_time_millis: 170, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 40.4769, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.896, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6991, kappa: 0.3883, kb_relative_information_score: 31.8921, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0396, scimark_benchmark: 885.5723, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7023, kappa: 0.3953, kb_relative_information_score: 15.0283, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7128, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9104, scimark_benchmark: 1336.2509, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.6295, kappa: 0.2474, kb_relative_information_score: 24.46, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6291, predictive_accuracy: 0.63, prior_entropy: 0.99, recall: 0.63, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7357, kappa: 0.4619, kb_relative_information_score: 37.8562, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7413, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8903, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7478, kappa: 0.4864, kb_relative_information_score: 45.3521, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9049, scimark_benchmark: 1309.3173, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.4703, kappa: -0.0611, kb_relative_information_score: -2.0669, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4719, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4245, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2689, kb_relative_information_score: -14.3101, mean_absolute_error: 0.56, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.1936, predictive_accuracy: 0.44, prior_entropy: 0.99, recall: 0.44, relative_absolute_error: 1.136, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7483, root_relative_squared_error: 1.5076, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.74, kappa: 0.4724, kb_relative_information_score: 46.1279, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0121, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7994, kappa: 0.5922, kb_relative_information_score: 59.1489, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9009, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6431, kappa: 0.2739, kb_relative_information_score: 28.541, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.647, predictive_accuracy: 0.65, prior_entropy: 0.99, recall: 0.65, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1918, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -0.1765, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7497, kappa: 0.4915, kb_relative_information_score: 47.8891, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7495, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9926, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5186, kappa: 0.0212, kb_relative_information_score: 1.9676, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5177, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6651, root_relative_squared_error: 1.3398, scimark_benchmark: 927.0753, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, f_measure: 0.52, kappa: 0.026, kb_relative_information_score: 2.5884, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6707, root_relative_squared_error: 1.3512, scimark_benchmark: 945.6434, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.5105, kappa: 0.0081, kb_relative_information_score: 1.4314, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5112, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6781, root_relative_squared_error: 1.3662, scimark_benchmark: 876.8277, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.56, kappa: 0.1071, kb_relative_information_score: 9.9603, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6527, root_relative_squared_error: 1.3149, scimark_benchmark: 923.7642, usercpu_time_millis: 540, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5609, kappa: 0.1115, kb_relative_information_score: 10.99, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5622, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6476, root_relative_squared_error: 1.3045, scimark_benchmark: 894.7455, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 51.1169, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9549, scimark_benchmark: 940.2922, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7206, kappa: 0.4342, kb_relative_information_score: 45.851, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7383, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9819, scimark_benchmark: 938.2848, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7413, kappa: 0.4761, kb_relative_information_score: 48.2908, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7606, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9486, scimark_benchmark: 911.3823, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.6839, kappa: 0.3568, kb_relative_information_score: 34.8394, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0325, scimark_benchmark: 933.8635, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7153, kappa: 0.4205, kb_relative_information_score: 36.3407, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7203, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.994, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.6839, kappa: 0.3568, kb_relative_information_score: 39.3834, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0016, scimark_benchmark: 924.6116, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 0.0376, build_memory: 819644258.4, f_measure: 0.695, kappa: 0.3791, kb_relative_information_score: 13.373, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9224, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 0.05, build_memory: 1109440612.8, f_measure: 0.695, kappa: 0.3791, kb_relative_information_score: 13.373, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9224, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 0.0557, build_memory: 738918578.4, f_measure: 0.695, kappa: 0.3791, kb_relative_information_score: 13.373, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9224, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 0.0394, build_memory: 872840968.8, f_measure: 0.695, kappa: 0.3791, kb_relative_information_score: 13.373, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9224, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 0.0394, build_memory: 1234271337.6, f_measure: 0.695, kappa: 0.3791, kb_relative_information_score: 13.373, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6993, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9224, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, build_cpu_time: 0.173, build_memory: 790904496, f_measure: 0.768, kappa: 0.5275, kb_relative_information_score: 53.0997, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7699, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9634, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, build_cpu_time: 0.0895, build_memory: 1005717395.2, f_measure: 0.7276, kappa: 0.4454, kb_relative_information_score: 45.9903, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.729, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0124, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, build_cpu_time: 0.0649, build_memory: 740212025.6, f_measure: 0.7794, kappa: 0.5514, kb_relative_information_score: 53.5644, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7794, predictive_accuracy: 0.78, prior_entropy: 0.99, recall: 0.78, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9217, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.021, build_memory: 1092899420.8, f_measure: 0.74, kappa: 0.4724, kb_relative_information_score: 48.1154, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9345, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, build_cpu_time: 0.0106, build_memory: 706463471.2, f_measure: 0.7096, kappa: 0.4101, kb_relative_information_score: 41.4839, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7094, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9874, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, build_cpu_time: 0.0446, build_memory: 2218798879.2, f_measure: 0.5113, kappa: 0.0129, kb_relative_information_score: -1.9872, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5136, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.3619, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, build_cpu_time: 0.0826, build_memory: 843115007.2, f_measure: 0.5186, kappa: 0.0212, kb_relative_information_score: 2.0347, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5177, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6719, root_relative_squared_error: 1.3535, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, build_cpu_time: 0.1507, build_memory: 1076727191.2, f_measure: 0.56, kappa: 0.1071, kb_relative_information_score: 10.2467, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6525, root_relative_squared_error: 1.3144, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, build_cpu_time: 0.203, build_memory: 692118562.4, f_measure: 0.5512, kappa: 0.0935, kb_relative_information_score: 9.2629, mean_absolute_error: 0.4441, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5534, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6544, root_relative_squared_error: 1.3184, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, build_cpu_time: 0.2206, build_memory: 3093418316, f_measure: 0.5415, kappa: 0.0756, kb_relative_information_score: 7.3892, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5447, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6619, root_relative_squared_error: 1.3335, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, build_cpu_time: 3.0525, build_memory: 22466854.4, f_measure: 0.6896, kappa: 0.3694, kb_relative_information_score: 35.4898, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6893, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0756, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, build_cpu_time: 5.9357, build_memory: 19245247.2, f_measure: 0.7192, kappa: 0.429, kb_relative_information_score: 42.514, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.719, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0375, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, build_cpu_time: 11.967, build_memory: 21110087.2, f_measure: 0.6562, kappa: 0.2998, kb_relative_information_score: 31.3222, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.1532, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, build_cpu_time: 44.9341, build_memory: 16530996.8, f_measure: 0.7263, kappa: 0.4426, kb_relative_information_score: 44.8889, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.73, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0454, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, build_cpu_time: 18.699, build_memory: 1091368770.4, f_measure: 0.521, kappa: 0.0307, kb_relative_information_score: 2.9748, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5224, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6854, root_relative_squared_error: 1.3808, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, build_cpu_time: 9.4576, build_memory: 351642651.2, f_measure: 0.5479, kappa: 0.0801, kb_relative_information_score: 7.4773, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5468, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.347, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4594, build_cpu_time: 5.2822, build_memory: 217309266.4, f_measure: 0.4706, kappa: -0.0729, kb_relative_information_score: -5.8822, mean_absolute_error: 0.5181, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4713, predictive_accuracy: 0.47, prior_entropy: 0.99, recall: 0.47, relative_absolute_error: 1.051, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7051, root_relative_squared_error: 1.4205, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, build_cpu_time: 2.4063, build_memory: 705367504, f_measure: 0.5505, kappa: 0.0891, kb_relative_information_score: 7.3666, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5511, predictive_accuracy: 0.55, prior_entropy: 0.99, recall: 0.55, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6581, root_relative_squared_error: 1.3259, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4594, build_cpu_time: 1.3567, build_memory: 41970925.6, f_measure: 0.4918, kappa: -0.0225, kb_relative_information_score: -6.7287, mean_absolute_error: 0.5219, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.496, predictive_accuracy: 0.49, prior_entropy: 0.99, recall: 0.49, relative_absolute_error: 1.0586, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6758, root_relative_squared_error: 1.3615, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.3649, build_memory: 195692648.8, f_measure: 0.6654, kappa: 0.3187, kb_relative_information_score: 33.1196, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.6646, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0588, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, build_cpu_time: 0.6897, build_memory: 168491840.8, f_measure: 0.6931, kappa: 0.376, kb_relative_information_score: 40.4181, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7009, predictive_accuracy: 0.7, prior_entropy: 0.99, recall: 0.7, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5226, root_relative_squared_error: 1.0528, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, build_cpu_time: 1.5724, build_memory: 216248172, f_measure: 0.6857, kappa: 0.36, kb_relative_information_score: 36.5852, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6884, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1049, scimark_benchmark: 937.279,

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