Task
Supervised Classification on arsenic-female-lung

Supervised Classification on arsenic-female-lung

Task 3813 Supervised Classification arsenic-female-lung 554 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.9832, kappa: 0.7346, kb_relative_information_score: 331.0824, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.983, predictive_accuracy: 0.9839, prior_entropy: 0.222, recall: 0.9839, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.9832, kappa: 0.7346, kb_relative_information_score: 230.8291, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.983, predictive_accuracy: 0.9839, prior_entropy: 0.222, recall: 0.9839, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 283.8865, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.9849, kappa: 0.7574, kb_relative_information_score: 329.2572, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 369.2434, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.9832, kappa: 0.7346, kb_relative_information_score: 59.715, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.983, predictive_accuracy: 0.9839, prior_entropy: 0.222, recall: 0.9839, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.9849, kappa: 0.7574, kb_relative_information_score: 364.5693, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 377.6736, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 10.6412, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.9612, kappa: 0.2659, kb_relative_information_score: 260.5595, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9722, predictive_accuracy: 0.9714, prior_entropy: 0.222, recall: 0.9714, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7625, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 98.6381, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 33.5434, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.4248, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 379.9151, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.5736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.9493, kb_relative_information_score: 43.9946, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 210.5357, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: -17.8495, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 0.3291, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 86.089, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 90.5891, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 5.229, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.9493, kb_relative_information_score: 5.229, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1812, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.3752, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.9866, kappa: 0.7816, kb_relative_information_score: 112.3737, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9869, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.2785, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.987, kappa: 0.7936, kb_relative_information_score: 228.5585, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9869, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.4285, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.9849, kappa: 0.7574, kb_relative_information_score: -110.7044, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9848, predictive_accuracy: 0.9857, prior_entropy: 0.222, recall: 0.9857, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.4285, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1607, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.9493, kb_relative_information_score: -38.0654, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1817, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 242.3769, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.987, kappa: 0.7936, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9869, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.8704, kappa: 0.0505, kb_relative_information_score: -1717.019, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.941, predictive_accuracy: 0.8157, prior_entropy: 0.222, recall: 0.8157, relative_absolute_error: 2.7413, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.4293, root_relative_squared_error: 2.3688, scimark_benchmark: 1280.301, usercpu_time_millis: 52890.625, usercpu_time_millis_training: 52890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.9737, kappa: 0.5299, kb_relative_information_score: 276.2476, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.979, predictive_accuracy: 0.9785, prior_entropy: 0.222, recall: 0.9785, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.8085, scimark_benchmark: 1280.301, usercpu_time_millis: 15906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 1461.2356, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 354.141, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.57, scimark_benchmark: 1787.9841, usercpu_time_millis: 4359.375, usercpu_time_millis_training: 4359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 354.141, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.57, scimark_benchmark: 1382.6387, usercpu_time_millis: 4730, usercpu_time_millis_training: 4730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174, scimark_benchmark: 1561.8687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, scimark_benchmark: 1496.0159, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 55.7614, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.6539, scimark_benchmark: 1110.2815, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 34.9931, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.5898, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -1.0207, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.5939, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 265.0024, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.6172, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -24.6695, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.108, root_relative_squared_error: 0.596, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -1.0207, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.5939, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 86.089, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, usercpu_time_millis: 101.219, usercpu_time_millis_testing: 2.786, usercpu_time_millis_training: 98.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9861, kappa: 0.7681, kb_relative_information_score: 385.7678, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.222, recall: 0.9875, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, 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: 0.8421, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 407.6718, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5717, scimark_benchmark: 1870.7932, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 33.8084, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.6029, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: 1.4301, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.5938, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.9883, kappa: 0.8072, kb_relative_information_score: -404.53, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 0.222, recall: 0.9893, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.9223, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9493, kb_relative_information_score: 122.9194, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.0672, number_of_instances: 559, precision: 0.9332, predictive_accuracy: 0.966, prior_entropy: 0.222, recall: 0.966, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.1812, root_mean_squared_error: 0.1844, root_relative_squared_error: 1.0174,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs