OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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29311 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.7523, kappa: 0.5131, kb_relative_information_score: 1097.7253, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8384, predictive_accuracy: 0.7723, prior_entropy: 0.9906, recall: 0.7723, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, kb_relative_information_score: -313.92, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.4431, prior_entropy: 0.9906, recall: 0.4431, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, kb_relative_information_score: 510.1859, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9404, kappa: 0.8791, kb_relative_information_score: 9023.9816, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9906, recall: 0.9405, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9315, kappa: 0.8609, kb_relative_information_score: 5546.2136, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9318, predictive_accuracy: 0.9316, prior_entropy: 0.9906, recall: 0.9316, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.2619, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.6336, kappa: 0.3071, kb_relative_information_score: 889.5766, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7734, predictive_accuracy: 0.6819, prior_entropy: 0.9906, recall: 0.6819, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.6986, kappa: 0.3919, kb_relative_information_score: 2569.0531, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7006, predictive_accuracy: 0.6979, prior_entropy: 0.9906, recall: 0.6979, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -16.2463, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9346, kappa: 0.8672, kb_relative_information_score: 8743.9501, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9349, predictive_accuracy: 0.9347, prior_entropy: 0.9906, recall: 0.9347, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, kb_relative_information_score: 83.2746, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -26.4065, 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: 1.0015, 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: -51.9239, 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: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, kb_relative_information_score: 635.2071, mean_absolute_error: 0.4733, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 213.4083, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8896, kappa: 0.776, kb_relative_information_score: 7509.1728, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8898, predictive_accuracy: 0.8898, prior_entropy: 0.9906, recall: 0.8898, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, kb_relative_information_score: 502.6862, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, kb_relative_information_score: -7.0852, 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: 1.0004, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.9825, 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: 0.9352, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5527.3443, mean_absolute_error: 0.2777, 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: 0.5627, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, kb_relative_information_score: 101.2558, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8886, kappa: 0.7739, kb_relative_information_score: 7160.9774, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8888, predictive_accuracy: 0.8888, prior_entropy: 0.9906, recall: 0.8888, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, kb_relative_information_score: 1.1102, 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: 0.4999, kb_relative_information_score: 2.4453, 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: 0.5, kb_relative_information_score: -36.3727, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.002, 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: 0.9863, kb_relative_information_score: 84.7002, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, kb_relative_information_score: 322.6806, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.4109, 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: 0.9986, 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: 0.9341, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6483.2757, mean_absolute_error: 0.2281, 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: 0.4622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 114.3374, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, kb_relative_information_score: 216.4533, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8996, kappa: 0.7965, kb_relative_information_score: 7297.1537, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8996, predictive_accuracy: 0.8997, prior_entropy: 0.9906, recall: 0.8997, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 9.8118, 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: 0.4999, kb_relative_information_score: -9.07, 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: 0.9198, kb_relative_information_score: -0.6333, 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: 0.4949, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.1408, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, kb_relative_information_score: 356.0752, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, kb_relative_information_score: 253.6928, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -27.1764, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0015, 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: 0.9537, kb_relative_information_score: 384.5454, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, kb_relative_information_score: 30.2383, 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: 0.9981, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.288, 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: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, kb_relative_information_score: 106.5054, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8727, kappa: 0.742, kb_relative_information_score: 2835.5675, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8916, predictive_accuracy: 0.8758, prior_entropy: 0.9906, recall: 0.8758, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, kb_relative_information_score: 241.8657, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.1868, 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: 0.9457, kb_relative_information_score: 244.4086, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.5288, kappa: 0.1597, kb_relative_information_score: 1009.3937, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7716, predictive_accuracy: 0.6214, prior_entropy: 0.9906, recall: 0.6214, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.942, kappa: 0.8825, kb_relative_information_score: 8857.4964, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9906, recall: 0.9421, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.4233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.95, kappa: 0.8987, kb_relative_information_score: 9789.5876, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.9906, recall: 0.9501, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9387, kappa: 0.8758, kb_relative_information_score: 9412.1149, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.9906, recall: 0.9388, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9423, kappa: 0.8829, kb_relative_information_score: 9491.9434, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9423, predictive_accuracy: 0.9423, prior_entropy: 0.9906, recall: 0.9423, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9492, kappa: 0.897, kb_relative_information_score: 9825.6378, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9906, recall: 0.9492, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9513, kappa: 0.9012, kb_relative_information_score: 9821.4009, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9906, recall: 0.9513, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9362, kappa: 0.8707, kb_relative_information_score: 9321.8756, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.9906, recall: 0.9361, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9386, kappa: 0.8755, kb_relative_information_score: 9431.123, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9384, kappa: 0.8752, kb_relative_information_score: 9397.6405, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9384, predictive_accuracy: 0.9384, prior_entropy: 0.9906, recall: 0.9384, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9508, kappa: 0.9003, kb_relative_information_score: 9806.0764, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9906, recall: 0.9509, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9393, kappa: 0.8771, kb_relative_information_score: 9346.526, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9477, kappa: 0.8939, kb_relative_information_score: 9731.3023, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9906, recall: 0.9477, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9354, kappa: 0.8693, kb_relative_information_score: 9302.6306, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 10091.0891, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9906, recall: 0.9585, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9428, kappa: 0.8841, kb_relative_information_score: 9528.9415, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.9906, recall: 0.9428, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9422, kappa: 0.8828, kb_relative_information_score: 9490.71, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9368, kappa: 0.872, kb_relative_information_score: 9293.8532, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9431, kappa: 0.8846, kb_relative_information_score: 9512.7111, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9906, recall: 0.9431, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9356, kappa: 0.8694, kb_relative_information_score: 9371.8094, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9356, predictive_accuracy: 0.9356, prior_entropy: 0.9906, recall: 0.9356, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9479, kappa: 0.8942, kb_relative_information_score: 9729.2456, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9906, recall: 0.9479, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.937, kappa: 0.8724, kb_relative_information_score: 9367.4765, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 0.9906, recall: 0.937, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9388, kappa: 0.876, kb_relative_information_score: 9435.9552, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9388, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9487, kappa: 0.8959, kb_relative_information_score: 9714.0968, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9906, recall: 0.9487, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9457, kappa: 0.8899, kb_relative_information_score: 9701.5105, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.9906, recall: 0.9457, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9392, kappa: 0.8769, kb_relative_information_score: 9349.4279, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9392, prior_entropy: 0.9906, recall: 0.9392, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9361, kappa: 0.8705, kb_relative_information_score: 9319.5336, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 0.9906, recall: 0.936, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9386, kappa: 0.8755, kb_relative_information_score: 9429.6181, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9487, kappa: 0.896, kb_relative_information_score: 9738.3391, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9906, recall: 0.9487, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.8783, kb_relative_information_score: 9452.2563, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9906, recall: 0.94, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9365, kappa: 0.8714, kb_relative_information_score: 9291.6936, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9906, recall: 0.9365, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.8783, kb_relative_information_score: 9453.5918, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9906, recall: 0.94, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9447, kappa: 0.8878, kb_relative_information_score: 9639.0227, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9447, predictive_accuracy: 0.9447, prior_entropy: 0.9906, recall: 0.9447, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9437, kappa: 0.8858, kb_relative_information_score: 9609.0449, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.961, kappa: 0.921, kb_relative_information_score: 10148.2762, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.9906, recall: 0.961, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9489, kappa: 0.8963, kb_relative_information_score: 9780.8299, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9906, recall: 0.9489, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9473, kappa: 0.8931, kb_relative_information_score: 9650.0554, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9535, kappa: 0.9057, kb_relative_information_score: 9944.1368, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9535, predictive_accuracy: 0.9535, prior_entropy: 0.9906, recall: 0.9535, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9428, kappa: 0.8841, kb_relative_information_score: 9531.2501, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.9906, recall: 0.9428, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9358, kappa: 0.8698, kb_relative_information_score: 9375.1047, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9357, predictive_accuracy: 0.9358, prior_entropy: 0.9906, recall: 0.9358, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9392, kappa: 0.8769, kb_relative_information_score: 9350.4985, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9392, prior_entropy: 0.9906, recall: 0.9392, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9477, kappa: 0.894, kb_relative_information_score: 9762.8019, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9906, recall: 0.9477, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9368, kappa: 0.872, kb_relative_information_score: 9294.4703, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 9765.9077, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9434, kappa: 0.8852, kb_relative_information_score: 9518.3708, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9434, predictive_accuracy: 0.9434, prior_entropy: 0.9906, recall: 0.9434, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.947, kappa: 0.8925, kb_relative_information_score: 9586.7906, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9906, recall: 0.947, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9358, kappa: 0.87, kb_relative_information_score: 9375.9793, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.9906, recall: 0.9359, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9488, kappa: 0.8961, kb_relative_information_score: 9750.0878, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.9906, recall: 0.9488, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9424, kappa: 0.8833, kb_relative_information_score: 9571.9703, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, predictive_accuracy: 0.9425, prior_entropy: 0.9906, recall: 0.9425, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9478, kappa: 0.8941, kb_relative_information_score: 9618.675, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9906, recall: 0.9478, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9422, kappa: 0.8828, kb_relative_information_score: 9492.6648, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9499, kappa: 0.8983, kb_relative_information_score: 9807.9087, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9906, recall: 0.9499, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9354, kappa: 0.869, kb_relative_information_score: 9371.3421, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9354, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4141,

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