Task
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 57 Supervised Classification ionosphere 1200 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 study_73 under100k under1m
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1200 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8874, kappa: 0.753, kb_relative_information_score: 248.2653, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7857, kappa: 0.5256, kb_relative_information_score: 138.2049, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8256, predictive_accuracy: 0.8034, prior_entropy: 0.9425, recall: 0.8034, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9428, kappa: 0.8753, kb_relative_information_score: 285.8819, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9429, predictive_accuracy: 0.943, prior_entropy: 0.9425, recall: 0.943, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8826, kappa: 0.7406, kb_relative_information_score: 260.8556, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8906, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8646, kappa: 0.7034, kb_relative_information_score: 234.1593, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.865, predictive_accuracy: 0.8661, prior_entropy: 0.9425, recall: 0.8661, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8915, kappa: 0.7639, kb_relative_information_score: 251.2728, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8914, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9045, kappa: 0.7902, kb_relative_information_score: 248.5691, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9068, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8862, kappa: 0.7532, kb_relative_information_score: 254.3308, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8884, kappa: 0.7564, kb_relative_information_score: 238.0036, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8883, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8835, kappa: 0.7475, kb_relative_information_score: 252.1374, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8839, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 244.8404, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9394, kappa: 0.867, kb_relative_information_score: 302.3977, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9145, kappa: 0.8143, kb_relative_information_score: 269.4499, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9145, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8439, kappa: 0.6539, kb_relative_information_score: 236.1689, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8637, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9175, kappa: 0.8208, kb_relative_information_score: 280.1443, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9175, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8629, kappa: 0.6961, kb_relative_information_score: 243.091, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8794, predictive_accuracy: 0.8689, prior_entropy: 0.9425, recall: 0.8689, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8291, kappa: 0.6394, kb_relative_information_score: 214.0987, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8417, predictive_accuracy: 0.8262, prior_entropy: 0.9425, recall: 0.8262, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8361, kappa: 0.6365, kb_relative_information_score: 216.0253, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8638, predictive_accuracy: 0.8462, prior_entropy: 0.9425, recall: 0.8462, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8693, kappa: 0.7104, kb_relative_information_score: 251.2358, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.884, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9073, kappa: 0.7962, kb_relative_information_score: 260.6659, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9101, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9161, kappa: 0.8156, kb_relative_information_score: 232.7605, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9186, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.5008, kb_relative_information_score: -0.2061, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.4109, predictive_accuracy: 0.641, prior_entropy: 0.9425, recall: 0.641, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8455, kappa: 0.6574, kb_relative_information_score: 235.296, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8727, predictive_accuracy: 0.8547, prior_entropy: 0.9425, recall: 0.8547, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8334, kappa: 0.6305, kb_relative_information_score: 224.9371, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8591, predictive_accuracy: 0.8433, prior_entropy: 0.9425, recall: 0.8433, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8521, kappa: 0.672, kb_relative_information_score: 245.1815, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.877, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8817, kappa: 0.7403, kb_relative_information_score: 259.5391, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8828, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8263, kappa: 0.6341, kb_relative_information_score: 213.9878, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8398, predictive_accuracy: 0.8234, prior_entropy: 0.9425, recall: 0.8234, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8469, kappa: 0.6615, kb_relative_information_score: 233.8866, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8547, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8921, kappa: 0.7664, kb_relative_information_score: 262.1902, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8927, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8832, kappa: 0.7425, kb_relative_information_score: 249.2345, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8885, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2901, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8291, kappa: 0.6394, kb_relative_information_score: 218.042, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8417, predictive_accuracy: 0.8262, prior_entropy: 0.9425, recall: 0.8262, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9282, kappa: 0.8428, kb_relative_information_score: 260.0092, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8697, kappa: 0.7115, kb_relative_information_score: 251.8659, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8823, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8819, kappa: 0.7387, kb_relative_information_score: 260.8556, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8933, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8575, kappa: 0.6863, kb_relative_information_score: 240.6288, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7789, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.946, kappa: 0.883, kb_relative_information_score: 238.4836, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9463, predictive_accuracy: 0.9459, prior_entropy: 0.9425, recall: 0.9459, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.4984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9368, kappa: 0.8619, kb_relative_information_score: 279.6307, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9374, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9258, kappa: 0.8385, kb_relative_information_score: 259.6964, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9257, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8913, kappa: 0.7631, kb_relative_information_score: 265.3505, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8912, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5798, kappa: 0.0902, kb_relative_information_score: 18.1339, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.5813, predictive_accuracy: 0.5783, prior_entropy: 0.9425, recall: 0.5783, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9055, kappa: 0.7939, kb_relative_information_score: 276.5876, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9055, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6664, kappa: 0.2744, kb_relative_information_score: 87.804, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.6661, predictive_accuracy: 0.6667, prior_entropy: 0.9425, recall: 0.6667, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.951, kappa: 0.8927, kb_relative_information_score: 312.5464, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9526, predictive_accuracy: 0.9516, prior_entropy: 0.9425, recall: 0.9516, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.5892, kappa: 0.1132, kb_relative_information_score: 24.8762, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.592, predictive_accuracy: 0.5869, prior_entropy: 0.9425, recall: 0.5869, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9597, kappa: 0.9118, kb_relative_information_score: 319.2886, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9611, predictive_accuracy: 0.9601, prior_entropy: 0.9425, recall: 0.9601, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5798, kappa: 0.0902, kb_relative_information_score: 18.1339, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.5813, predictive_accuracy: 0.5783, prior_entropy: 0.9425, recall: 0.5783, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9055, kappa: 0.7939, kb_relative_information_score: 276.5876, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9055, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6664, kappa: 0.2744, kb_relative_information_score: 87.804, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.6661, predictive_accuracy: 0.6667, prior_entropy: 0.9425, recall: 0.6667, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.951, kappa: 0.8927, kb_relative_information_score: 312.5464, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9526, predictive_accuracy: 0.9516, prior_entropy: 0.9425, recall: 0.9516, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.5892, kappa: 0.1132, kb_relative_information_score: 24.8762, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.592, predictive_accuracy: 0.5869, prior_entropy: 0.9425, recall: 0.5869, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9597, kappa: 0.9118, kb_relative_information_score: 319.2886, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9611, predictive_accuracy: 0.9601, prior_entropy: 0.9425, recall: 0.9601, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5798, kappa: 0.0902, kb_relative_information_score: 18.1339, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.5813, predictive_accuracy: 0.5783, prior_entropy: 0.9425, recall: 0.5783, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.3537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9055, kappa: 0.7939, kb_relative_information_score: 276.5876, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9055, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6664, kappa: 0.2744, kb_relative_information_score: 87.804, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.6661, predictive_accuracy: 0.6667, prior_entropy: 0.9425, recall: 0.6667, relative_absolute_error: 0.7239, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.951, kappa: 0.8927, kb_relative_information_score: 312.5464, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9526, predictive_accuracy: 0.9516, prior_entropy: 0.9425, recall: 0.9516, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.5892, kappa: 0.1132, kb_relative_information_score: 24.8762, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.592, predictive_accuracy: 0.5869, prior_entropy: 0.9425, recall: 0.5869, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8681, kappa: 0.7087, kb_relative_information_score: 249.6185, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8747, predictive_accuracy: 0.8718, prior_entropy: 0.9425, recall: 0.8718, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9597, kappa: 0.9118, kb_relative_information_score: 319.2886, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9611, predictive_accuracy: 0.9601, prior_entropy: 0.9425, recall: 0.9601, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5798, kappa: 0.0902, kb_relative_information_score: 18.1339, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.5813, predictive_accuracy: 0.5783, prior_entropy: 0.9425, recall: 0.5783, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.3537,

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

OpenML APIs