OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7226, kappa: 0.4432, kb_relative_information_score: 26915.2147, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9976, recall: 0.7227, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7179, kappa: 0.4337, kb_relative_information_score: 5128.3402, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7178, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7037, kappa: 0.4055, kb_relative_information_score: 2415.5764, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7037, predictive_accuracy: 0.7037, prior_entropy: 0.9976, recall: 0.7037, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 27739.2718, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7205, kappa: 0.4392, kb_relative_information_score: 26194.5814, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6369, kappa: 0.2709, kb_relative_information_score: 894.8234, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.637, predictive_accuracy: 0.6377, prior_entropy: 0.9976, recall: 0.6377, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.5438, kappa: 0.1321, kb_relative_information_score: 3457.1486, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5919, predictive_accuracy: 0.58, prior_entropy: 0.9976, recall: 0.58, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6138, kappa: 0.2249, kb_relative_information_score: 3139.2047, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6137, predictive_accuracy: 0.6138, prior_entropy: 0.9976, recall: 0.6138, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.722, kappa: 0.4419, kb_relative_information_score: 25671.7608, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.5866, kappa: 0.1708, kb_relative_information_score: 6766.1012, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5868, predictive_accuracy: 0.5864, prior_entropy: 0.9976, recall: 0.5864, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7218, kappa: 0.4418, kb_relative_information_score: 26450.9067, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.7219, prior_entropy: 0.9976, recall: 0.7219, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6418, kappa: 0.2808, kb_relative_information_score: 8329.9146, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6418, predictive_accuracy: 0.6423, prior_entropy: 0.9976, recall: 0.6423, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.6469, kappa: 0.3215, kb_relative_information_score: 375.9395, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6852, predictive_accuracy: 0.6548, prior_entropy: 0.9976, recall: 0.6548, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7138, kappa: 0.4256, kb_relative_information_score: 27724.4566, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7137, predictive_accuracy: 0.7139, prior_entropy: 0.9976, recall: 0.7139, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 27485.8571, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.716, kappa: 0.4298, kb_relative_information_score: 21096.0528, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7163, predictive_accuracy: 0.7166, prior_entropy: 0.9976, recall: 0.7166, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, kb_relative_information_score: 34.8636, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.6849, kappa: 0.3683, kb_relative_information_score: 1048.7878, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6853, predictive_accuracy: 0.6848, prior_entropy: 0.9976, recall: 0.6848, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.6712, kappa: 0.3403, kb_relative_information_score: 17923.7426, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6736, predictive_accuracy: 0.6734, prior_entropy: 0.9976, recall: 0.6734, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7197, kappa: 0.4373, kb_relative_information_score: 9588.7602, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6564, kappa: 0.31, kb_relative_information_score: 7455.8869, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6563, predictive_accuracy: 0.6568, prior_entropy: 0.9976, recall: 0.6568, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7195, kappa: 0.437, kb_relative_information_score: 23942.994, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7862, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7192, kappa: 0.4365, kb_relative_information_score: 27787.3262, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7207, kappa: 0.4394, kb_relative_information_score: 27783.6603, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 24883.9202, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.715, kappa: 0.4279, kb_relative_information_score: 3907.6272, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7153, prior_entropy: 0.9976, recall: 0.7153, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7179, kappa: 0.4335, kb_relative_information_score: 22613.5261, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.7182, prior_entropy: 0.9976, recall: 0.7182, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7199, kappa: 0.438, kb_relative_information_score: 26468.8714, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7212, kappa: 0.4405, kb_relative_information_score: 26104.2227, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7027, kappa: 0.4032, kb_relative_information_score: 2424.2544, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7027, predictive_accuracy: 0.703, prior_entropy: 0.9976, recall: 0.703, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6467, kappa: 0.3225, kb_relative_information_score: -17.0418, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6872, predictive_accuracy: 0.6552, prior_entropy: 0.9976, recall: 0.6552, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6682, kappa: 0.3345, kb_relative_information_score: 17379.7181, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6713, predictive_accuracy: 0.6709, prior_entropy: 0.9976, recall: 0.6709, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.4185, kappa: 0.009, kb_relative_information_score: 98.5522, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5175, predictive_accuracy: 0.5289, prior_entropy: 0.9976, recall: 0.5289, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.623, kappa: 0.2449, kb_relative_information_score: 10548.511, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6269, predictive_accuracy: 0.6271, prior_entropy: 0.9976, recall: 0.6271, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 26969.9849, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3664, kappa: -0, kb_relative_information_score: 34.1335, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.501, predictive_accuracy: 0.5285, prior_entropy: 0.9976, recall: 0.5285, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7192, kappa: 0.4365, kb_relative_information_score: 26474.3136, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.688, kappa: 0.3736, kb_relative_information_score: 3372.8939, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6879, predictive_accuracy: 0.6882, prior_entropy: 0.9976, recall: 0.6882, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.4522, kappa: -0.0064, kb_relative_information_score: -314.904, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4962, predictive_accuracy: 0.5164, prior_entropy: 0.9976, recall: 0.5164, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.4184, kappa: 0.0222, kb_relative_information_score: -13.1659, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5492, predictive_accuracy: 0.5359, prior_entropy: 0.9976, recall: 0.5359, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.6021, kappa: 0.2023, kb_relative_information_score: 7941.3606, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6046, predictive_accuracy: 0.6057, prior_entropy: 0.9976, recall: 0.6057, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26914.0804, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7171, kappa: 0.432, kb_relative_information_score: 3707.787, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7171, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7184, kappa: 0.4349, kb_relative_information_score: 27338.0046, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7004, kappa: 0.3988, kb_relative_information_score: 755.0718, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7004, predictive_accuracy: 0.7005, prior_entropy: 0.9976, recall: 0.7005, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.366, kappa: 0.0001, kb_relative_information_score: 6.8874, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5206, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6908, kappa: 0.3792, kb_relative_information_score: -409.2348, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6909, predictive_accuracy: 0.6913, prior_entropy: 0.9976, recall: 0.6913, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7207, kappa: 0.4394, kb_relative_information_score: 26167.9846, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26358.2266, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7191, kappa: 0.4359, kb_relative_information_score: 23297.0438, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.7037, kappa: 0.4055, kb_relative_information_score: 4287.1394, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7037, predictive_accuracy: 0.7037, prior_entropy: 0.9976, recall: 0.7037, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7185, kappa: 0.4351, kb_relative_information_score: 26881.5614, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7202, kappa: 0.4384, kb_relative_information_score: 24130.6386, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7133, kappa: 0.4246, kb_relative_information_score: 27461.8675, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7132, predictive_accuracy: 0.7134, prior_entropy: 0.9976, recall: 0.7134, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 24906.1232, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7173, kappa: 0.4324, kb_relative_information_score: 300.432, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7173, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6901, kappa: 0.378, kb_relative_information_score: 3307.659, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6901, predictive_accuracy: 0.6903, prior_entropy: 0.9976, recall: 0.6903, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.719, kappa: 0.4361, kb_relative_information_score: 26504.4071, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6415, kappa: 0.2804, kb_relative_information_score: 7214.2031, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6414, predictive_accuracy: 0.6418, prior_entropy: 0.9976, recall: 0.6418, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26491.0547, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7199, kappa: 0.4379, kb_relative_information_score: 26842.5165, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.719, kappa: 0.4362, kb_relative_information_score: 26435.9861, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.6937, kappa: 0.3849, kb_relative_information_score: -365.2202, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6937, predictive_accuracy: 0.6941, prior_entropy: 0.9976, recall: 0.6941, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7191, kappa: 0.436, kb_relative_information_score: 4585.3138, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6812, kappa: 0.3617, kb_relative_information_score: 4602.1305, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6824, predictive_accuracy: 0.6809, prior_entropy: 0.9976, recall: 0.6809, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: -23.9875, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7162, kappa: 0.4301, kb_relative_information_score: 21354.4717, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7165, predictive_accuracy: 0.7168, prior_entropy: 0.9976, recall: 0.7168, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7192, kappa: 0.4364, kb_relative_information_score: 26199.9104, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 26047.3277, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.6152, kappa: 0.2303, kb_relative_information_score: 7365.4455, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6204, predictive_accuracy: 0.6204, prior_entropy: 0.9976, recall: 0.6204, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.676, kappa: 0.3496, kb_relative_information_score: -356.3216, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6759, predictive_accuracy: 0.6762, prior_entropy: 0.9976, recall: 0.6762, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7194, kappa: 0.437, kb_relative_information_score: 26139.9486, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 26124.5067, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7103, kappa: 0.4183, kb_relative_information_score: 17964.3276, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7112, predictive_accuracy: 0.7113, prior_entropy: 0.9976, recall: 0.7113, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.8882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7128, kappa: 0.4236, kb_relative_information_score: 27341.4142, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7128, predictive_accuracy: 0.7129, prior_entropy: 0.9976, recall: 0.7129, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6867, kappa: 0.3717, kb_relative_information_score: 3791.2374, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.687, predictive_accuracy: 0.6865, prior_entropy: 0.9976, recall: 0.6865, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7162, kappa: 0.4301, kb_relative_information_score: 21654.1004, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7163, predictive_accuracy: 0.7166, prior_entropy: 0.9976, recall: 0.7166, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7079, kappa: 0.4135, kb_relative_information_score: 17356.5832, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7089, predictive_accuracy: 0.709, prior_entropy: 0.9976, recall: 0.709, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.6502, kappa: 0.2978, kb_relative_information_score: 2138.6692, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6501, predictive_accuracy: 0.6504, prior_entropy: 0.9976, recall: 0.6504, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6934, kappa: 0.3844, kb_relative_information_score: -59.0804, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6935, predictive_accuracy: 0.6939, prior_entropy: 0.9976, recall: 0.6939, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.6643, kappa: 0.326, kb_relative_information_score: 2328.8247, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6642, predictive_accuracy: 0.6645, prior_entropy: 0.9976, recall: 0.6645, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 26756.1161, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7168, kappa: 0.4314, kb_relative_information_score: 22746.5067, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7168, predictive_accuracy: 0.7171, prior_entropy: 0.9976, recall: 0.7171, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7119, kappa: 0.4218, kb_relative_information_score: 27115.0088, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7119, predictive_accuracy: 0.712, prior_entropy: 0.9976, recall: 0.712, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6393, kappa: 0.2759, kb_relative_information_score: 3815.0996, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6392, predictive_accuracy: 0.6395, prior_entropy: 0.9976, recall: 0.6395, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6979, kappa: 0.3936, kb_relative_information_score: 4366.1166, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6979, predictive_accuracy: 0.6981, prior_entropy: 0.9976, recall: 0.6981, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7195, kappa: 0.4371, kb_relative_information_score: 26606.9287, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7194, kappa: 0.4368, kb_relative_information_score: 27239.5827, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.366, kappa: 0.0001, kb_relative_information_score: 8.694, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5201, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.4226, kappa: 0.033, kb_relative_information_score: 471.7538, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.577, predictive_accuracy: 0.5413, prior_entropy: 0.9976, recall: 0.5413, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7213, kappa: 0.4406, kb_relative_information_score: 3550.6011, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7206, kappa: 0.439, kb_relative_information_score: 24075.2653, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6773, kappa: 0.3532, kb_relative_information_score: 874.0961, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6814, predictive_accuracy: 0.6803, prior_entropy: 0.9976, recall: 0.6803, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7085, kappa: 0.4148, kb_relative_information_score: -269.1727, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7085, predictive_accuracy: 0.7087, prior_entropy: 0.9976, recall: 0.7087, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6713, kappa: 0.3423, kb_relative_information_score: 1435.7776, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6777, predictive_accuracy: 0.6755, prior_entropy: 0.9976, recall: 0.6755, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6876, kappa: 0.3729, kb_relative_information_score: 3255.2964, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6875, predictive_accuracy: 0.6877, prior_entropy: 0.9976, recall: 0.6877, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7207, kappa: 0.4395, kb_relative_information_score: 26903.3203, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8566,

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