Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 26173 runs submitted
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  • OpenML100 study_107 study_123 study_14
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26173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 9.7794, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9343, kappa: 0.8667, kb_relative_information_score: 8851.815, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9345, predictive_accuracy: 0.9344, prior_entropy: 0.9906, recall: 0.9344, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 25.9544, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 4.1278, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.0867, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -16.1933, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8548, kappa: 0.7049, kb_relative_information_score: 1235.5576, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8591, predictive_accuracy: 0.8563, prior_entropy: 0.9906, recall: 0.8563, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8905, kappa: 0.7777, kb_relative_information_score: 6119.5753, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8909, predictive_accuracy: 0.8908, prior_entropy: 0.9906, recall: 0.8908, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.309, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.8726, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6342.8161, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9328, kappa: 0.8636, kb_relative_information_score: 8922.8312, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9329, predictive_accuracy: 0.9329, prior_entropy: 0.9906, recall: 0.9329, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.7239, kappa: 0.4388, kb_relative_information_score: 2845.1797, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7261, predictive_accuracy: 0.7267, prior_entropy: 0.9906, recall: 0.7267, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 5.2234, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9163, kappa: 0.8301, kb_relative_information_score: 6969.9813, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9165, predictive_accuracy: 0.9164, prior_entropy: 0.9906, recall: 0.9164, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5167.2931, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -39.8447, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6924.6118, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9189, kappa: 0.8353, kb_relative_information_score: 8326.6332, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9199, predictive_accuracy: 0.9192, prior_entropy: 0.9906, recall: 0.9192, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9234, kappa: 0.8445, kb_relative_information_score: 8501.3069, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9238, predictive_accuracy: 0.9236, prior_entropy: 0.9906, recall: 0.9236, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5875.2718, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9331, kappa: 0.8642, kb_relative_information_score: 8991.5616, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9332, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7265, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.9206, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.3712, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8953, kappa: 0.7877, kb_relative_information_score: 6285.6745, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8953, predictive_accuracy: 0.8953, prior_entropy: 0.9906, recall: 0.8953, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.5646, kappa: 0.1504, kb_relative_information_score: 1285.9814, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.5873, predictive_accuracy: 0.5666, prior_entropy: 0.9906, recall: 0.5666, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6583, root_relative_squared_error: 1.3251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.0671, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -18.5774, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.4611, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, kb_relative_information_score: 639.7068, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.918, kappa: 0.8335, kb_relative_information_score: 8358.0484, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9185, predictive_accuracy: 0.9182, prior_entropy: 0.9906, recall: 0.9182, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.245, root_relative_squared_error: 0.4933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 8753.4845, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9292, predictive_accuracy: 0.9291, prior_entropy: 0.9906, recall: 0.9291, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.7318, kappa: 0.4547, kb_relative_information_score: 2463.4322, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7345, predictive_accuracy: 0.7347, prior_entropy: 0.9906, recall: 0.7347, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.9732, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.8711, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.3551, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 68.5438, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -5.2115, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3314.9732, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.8815, kappa: 0.7594, kb_relative_information_score: 3831.4797, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8823, predictive_accuracy: 0.882, prior_entropy: 0.9906, recall: 0.882, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.7787, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8896, kappa: 0.7759, kb_relative_information_score: 7463.8835, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8897, predictive_accuracy: 0.8897, prior_entropy: 0.9906, recall: 0.8897, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6908.6573, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9241, kappa: 0.8461, kb_relative_information_score: 8610.8233, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9244, predictive_accuracy: 0.9243, prior_entropy: 0.9906, recall: 0.9243, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.2091, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.172, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8876, kappa: 0.7715, kb_relative_information_score: 5961.4091, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8913, predictive_accuracy: 0.8886, prior_entropy: 0.9906, recall: 0.8886, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.8914, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8671, kappa: 0.73, kb_relative_information_score: 5506.6045, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8768, predictive_accuracy: 0.8692, prior_entropy: 0.9906, recall: 0.8692, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.5778, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9307, kappa: 0.8594, kb_relative_information_score: 8955.9989, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.9906, recall: 0.9308, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.6177, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -13.4151, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 37.7775, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 26.3762, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.766, kappa: 0.5348, kb_relative_information_score: 1546.5512, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8259, predictive_accuracy: 0.7808, prior_entropy: 0.9906, recall: 0.7808, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9485, kappa: 0.8954, kb_relative_information_score: 9364.5383, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 0.9906, recall: 0.9485, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -59.838, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7828, kappa: 0.5621, kb_relative_information_score: 2871.8584, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8114, predictive_accuracy: 0.791, prior_entropy: 0.9906, recall: 0.791, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9227, kappa: 0.8433, kb_relative_information_score: 7811.6286, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9228, predictive_accuracy: 0.9228, prior_entropy: 0.9906, recall: 0.9228, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4899,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9214, kappa: 0.8404, kb_relative_information_score: 8701.8356, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9223, predictive_accuracy: 0.9217, prior_entropy: 0.9906, recall: 0.9217, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 20.7564, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.907, kappa: 0.8111, kb_relative_information_score: 7628.8145, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9076, predictive_accuracy: 0.9073, prior_entropy: 0.9906, recall: 0.9073, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7587, kappa: 0.5137, kb_relative_information_score: 1713.7584, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7855, predictive_accuracy: 0.768, prior_entropy: 0.9906, recall: 0.768, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8908, kappa: 0.7785, kb_relative_information_score: 7837.7794, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8908, predictive_accuracy: 0.8909, prior_entropy: 0.9906, recall: 0.8909, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5616,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -10.9455, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9242, kappa: 0.8461, kb_relative_information_score: 8728.7676, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 0.9906, recall: 0.9243, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9111, kappa: 0.8198, kb_relative_information_score: 7026.5037, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9111, predictive_accuracy: 0.9112, prior_entropy: 0.9906, recall: 0.9112, relative_absolute_error: 0.4086, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9111, kappa: 0.8196, kb_relative_information_score: 7922.7167, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9113, predictive_accuracy: 0.9113, prior_entropy: 0.9906, recall: 0.9113, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.821, kappa: 0.6413, kb_relative_information_score: 2093.5185, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8697, predictive_accuracy: 0.8299, prior_entropy: 0.9906, recall: 0.8299, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -9.2738, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.5734, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3644.8859, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9211, kappa: 0.8399, kb_relative_information_score: 8600.7872, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.9213, prior_entropy: 0.9906, recall: 0.9213, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 4096.653, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5662, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8905, kappa: 0.7777, kb_relative_information_score: 5797.1457, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 0.9906, recall: 0.8906, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9241, kappa: 0.8459, kb_relative_information_score: 8691.6895, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9243, predictive_accuracy: 0.9242, prior_entropy: 0.9906, recall: 0.9242, relative_absolute_error: 0.2295, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9017, kappa: 0.8002, kb_relative_information_score: 5320.3542, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.903, predictive_accuracy: 0.9021, prior_entropy: 0.9906, recall: 0.9021, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9538, kappa: 0.9064, kb_relative_information_score: 9366.8273, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.9906, recall: 0.9539, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 65.8546, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8815, kappa: 0.7594, kb_relative_information_score: 4189.2938, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8823, predictive_accuracy: 0.882, prior_entropy: 0.9906, recall: 0.882, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7215,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9256, kappa: 0.8491, kb_relative_information_score: 8699.9362, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9258, predictive_accuracy: 0.9257, prior_entropy: 0.9906, recall: 0.9257, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.1225, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.3519, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -52.0076, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,

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