OpenML
Supervised Classification on disclosure_z

Supervised Classification on disclosure_z

Task 3794 Supervised Classification disclosure_z 585 runs submitted
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  • 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: 0.5254, f_measure: 0.5224, kappa: 0.0419, kb_relative_information_score: 11.7452, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5222, predictive_accuracy: 0.5227, prior_entropy: 0.9981, recall: 0.5227, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0283, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5224, kappa: 0.0419, kb_relative_information_score: 11.7452, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5222, predictive_accuracy: 0.5227, prior_entropy: 0.9981, recall: 0.5227, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0283, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5224, kappa: 0.0419, kb_relative_information_score: 11.7452, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5222, predictive_accuracy: 0.5227, prior_entropy: 0.9981, recall: 0.5227, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0283, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5224, kappa: 0.0419, kb_relative_information_score: 11.7452, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5222, predictive_accuracy: 0.5227, prior_entropy: 0.9981, recall: 0.5227, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0283, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.5335, kappa: 0.0662, kb_relative_information_score: 14.6076, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5344, predictive_accuracy: 0.5332, prior_entropy: 0.9981, recall: 0.5332, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0226, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.5136, kappa: 0.0242, kb_relative_information_score: 13.9332, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5134, predictive_accuracy: 0.5151, prior_entropy: 0.9981, recall: 0.5151, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1022, scimark_benchmark: 926.5859, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5294, kappa: 0.0574, kb_relative_information_score: 16.4226, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5305, predictive_accuracy: 0.5332, prior_entropy: 0.9981, recall: 0.5332, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.0962, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5127, f_measure: 0.515, kappa: 0.0278, kb_relative_information_score: 8.7557, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5154, predictive_accuracy: 0.5181, prior_entropy: 0.9981, recall: 0.5181, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.0885, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.5143, kappa: 0.0286, kb_relative_information_score: 5.5573, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.516, predictive_accuracy: 0.5196, prior_entropy: 0.9981, recall: 0.5196, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0838, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5221, kappa: 0.044, kb_relative_information_score: 2.641, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5239, predictive_accuracy: 0.5272, prior_entropy: 0.9981, recall: 0.5272, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.0765, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5221, kappa: 0.044, kb_relative_information_score: 2.641, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5239, predictive_accuracy: 0.5272, prior_entropy: 0.9981, recall: 0.5272, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.0765, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4795, f_measure: 0.4548, kappa: -0.0278, kb_relative_information_score: -2.317, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4815, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0012, scimark_benchmark: 923.7471, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.5466, kappa: 0.0964, kb_relative_information_score: 7.8132, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5518, predictive_accuracy: 0.5544, prior_entropy: 0.9981, recall: 0.5544, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0001, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5252, kappa: 0.0553, kb_relative_information_score: 6.5336, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5294, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0397, scimark_benchmark: 933.5515, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 949.7766, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5007, kappa: -0.0018, kb_relative_information_score: 1.5626, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5004, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0452, scimark_benchmark: 922.5036, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5366, kappa: 0.0722, kb_relative_information_score: 13.2891, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5381, predictive_accuracy: 0.5408, prior_entropy: 0.9981, recall: 0.5408, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9984, scimark_benchmark: 946.6409, usercpu_time_millis: 1050, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5106, kappa: 0.0181, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5104, predictive_accuracy: 0.5121, prior_entropy: 0.9981, recall: 0.5121, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 949.7766, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 1322.7279, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 1322.0065, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 1325.8468, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 1314.9949, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 1325.8468, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5366, kappa: 0.0722, kb_relative_information_score: 13.2891, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5381, predictive_accuracy: 0.5408, prior_entropy: 0.9981, recall: 0.5408, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9984, scimark_benchmark: 1339.4412, usercpu_time_millis: 700, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1327.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5106, kappa: 0.0181, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5104, predictive_accuracy: 0.5121, prior_entropy: 0.9981, recall: 0.5121, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 1354.5533, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5252, kappa: 0.0553, kb_relative_information_score: 6.5336, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5294, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0397, scimark_benchmark: 1337.4384, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5007, kappa: -0.0018, kb_relative_information_score: 1.5626, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5004, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.0452, scimark_benchmark: 1318.9519, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1357.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5043, kappa: 0.0126, kb_relative_information_score: -0.3484, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5077, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5077, root_relative_squared_error: 1.0168, scimark_benchmark: 1351.5471, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1404.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 1352.4005, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.015, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1260.1387,

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