OpenML
Supervised Classification on breastTumor

Supervised Classification on breastTumor

Task 3709 Supervised Classification breastTumor 508 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5391, kappa: 0.0517, kb_relative_information_score: 8.4419, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5406, predictive_accuracy: 0.5594, prior_entropy: 0.9815, recall: 0.5594, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0302, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.5314, kappa: 0.0316, kb_relative_information_score: 6.3899, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5289, predictive_accuracy: 0.542, prior_entropy: 0.9815, recall: 0.542, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0487, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.5931, kappa: 0.1725, kb_relative_information_score: 32.1602, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5977, predictive_accuracy: 0.5909, prior_entropy: 0.9815, recall: 0.5909, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0038, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.614, kappa: 0.2149, kb_relative_information_score: 42.4081, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6185, predictive_accuracy: 0.6119, prior_entropy: 0.9815, recall: 0.6119, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9943, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.484, kappa: -0.0348, kb_relative_information_score: -3.1249, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4896, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0478, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5218, kappa: 0.0137, kb_relative_information_score: 1.6948, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5201, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0888, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.5282, kappa: 0.032, kb_relative_information_score: 11.011, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5285, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0587, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.5372, kappa: 0.0572, kb_relative_information_score: 13.1396, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.541, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.0852, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5338, kappa: 0.0512, kb_relative_information_score: 9.709, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5381, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6666, root_relative_squared_error: 1.3509, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.5931, kappa: 0.1725, kb_relative_information_score: 32.1602, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5977, predictive_accuracy: 0.5909, prior_entropy: 0.9815, recall: 0.5909, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0038, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.614, kappa: 0.2149, kb_relative_information_score: 42.3883, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6185, predictive_accuracy: 0.6119, prior_entropy: 0.9815, recall: 0.6119, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9944, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4263, kb_relative_information_score: -0.0377, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4935, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5998, kappa: 0.1759, kb_relative_information_score: 8.9597, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5988, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9986, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5893, kappa: 0.1626, kb_relative_information_score: 8.4097, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5925, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0552, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 904.6764, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 936.3373, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5998, kappa: 0.1759, kb_relative_information_score: 8.9597, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5988, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9986, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5893, kappa: 0.1626, kb_relative_information_score: 8.4097, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5925, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0552, scimark_benchmark: 944.0133, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 926.5462, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1337.1889, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1327.5842, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1322.5413, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5998, kappa: 0.1759, kb_relative_information_score: 8.9597, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5988, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9986, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1332.9478, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5893, kappa: 0.1626, kb_relative_information_score: 8.4097, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5925, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0552, scimark_benchmark: 1336.0954, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5545, kappa: 0.083, kb_relative_information_score: 7.9629, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5534, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0433, scimark_benchmark: 1303.5632, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.6062, kappa: 0.1953, kb_relative_information_score: 31.8425, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6083, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0176, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1331.7953, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4697, kappa: -0.0518, kb_relative_information_score: -3.8499, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4748, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0543, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.4832, kappa: 0.0176, kb_relative_information_score: 32.6959, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.533, predictive_accuracy: 0.5734, prior_entropy: 0.9815, recall: 0.5734, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6531, root_relative_squared_error: 1.3235, scimark_benchmark: 1316.5668, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,

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