OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14284 runs submitted
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14284 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7184, kappa: 0.4349, kb_relative_information_score: 26569.3847, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7184, prior_entropy: 0.9976, recall: 0.7184, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.6836, kappa: 0.3664, kb_relative_information_score: 4229.9701, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6847, predictive_accuracy: 0.6834, prior_entropy: 0.9976, recall: 0.6834, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7194, kappa: 0.437, kb_relative_information_score: 26709.0403, mean_absolute_error: 0.3763, 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: 0.7552, 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: 0.7977, f_measure: 0.7203, kappa: 0.4387, kb_relative_information_score: 26755.7845, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.719, kappa: 0.436, kb_relative_information_score: 26524.3811, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 5496.8177, mean_absolute_error: 0.4779, 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: 0.9589, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7018, kappa: 0.4012, kb_relative_information_score: 1624.0558, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7019, predictive_accuracy: 0.7023, prior_entropy: 0.9976, recall: 0.7023, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.694, kappa: 0.3857, kb_relative_information_score: 1663.9957, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6939, predictive_accuracy: 0.6942, prior_entropy: 0.9976, recall: 0.6942, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7155, kappa: 0.4288, kb_relative_information_score: 4449.882, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7156, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6302, kappa: 0.2578, kb_relative_information_score: 6882.6112, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6301, predictive_accuracy: 0.6304, prior_entropy: 0.9976, recall: 0.6304, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.4442, kappa: 0.0057, kb_relative_information_score: -177.5794, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5077, predictive_accuracy: 0.5242, prior_entropy: 0.9976, recall: 0.5242, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7219, kappa: 0.4418, kb_relative_information_score: 26082.4812, mean_absolute_error: 0.3802, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7628, 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: 0.7982, f_measure: 0.7196, kappa: 0.4373, kb_relative_information_score: 27898.5589, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7033, kappa: 0.4043, kb_relative_information_score: 8783.3358, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7032, predictive_accuracy: 0.7035, prior_entropy: 0.9976, recall: 0.7035, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.6124, kappa: 0.2231, kb_relative_information_score: 9188.6594, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6152, predictive_accuracy: 0.616, prior_entropy: 0.9976, recall: 0.616, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7211, kappa: 0.4401, kb_relative_information_score: 24158.0373, mean_absolute_error: 0.3908, 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: 0.7842, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7131, kappa: 0.4242, kb_relative_information_score: 27506.8333, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.713, predictive_accuracy: 0.7131, prior_entropy: 0.9976, recall: 0.7131, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7164, kappa: 0.4306, kb_relative_information_score: 3638.509, mean_absolute_error: 0.4849, 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: 0.9729, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7192, kappa: 0.4361, kb_relative_information_score: 23167.2872, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7189, kappa: 0.4357, kb_relative_information_score: 23841.7364, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7211, kappa: 0.4401, kb_relative_information_score: 24970.9352, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7221, kappa: 0.4423, kb_relative_information_score: 25859.1118, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.7656, 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: 0.7969, f_measure: 0.7185, kappa: 0.4348, kb_relative_information_score: 23036.2318, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.3663, kappa: 0.0001, kb_relative_information_score: 4.9502, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5151, 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: 0.7204, f_measure: 0.6627, kappa: 0.3243, kb_relative_information_score: 15912.7647, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6674, predictive_accuracy: 0.6663, prior_entropy: 0.9976, recall: 0.6663, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7162, kappa: 0.4302, kb_relative_information_score: 21398.7381, mean_absolute_error: 0.4051, 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: 0.8128, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7009, kappa: 0.3995, kb_relative_information_score: 27351.7727, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7008, predictive_accuracy: 0.701, prior_entropy: 0.9976, recall: 0.701, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7212, kappa: 0.4405, kb_relative_information_score: 26943.882, mean_absolute_error: 0.3752, 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: 0.7528, 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: 0.7935, f_measure: 0.7154, kappa: 0.4288, kb_relative_information_score: 27466.2797, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7155, prior_entropy: 0.9976, recall: 0.7155, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7022, kappa: 0.4022, kb_relative_information_score: 27415.7027, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7021, predictive_accuracy: 0.7023, prior_entropy: 0.9976, recall: 0.7023, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7213, kappa: 0.4406, kb_relative_information_score: 25350.8238, mean_absolute_error: 0.3842, 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: 0.7709, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7193, kappa: 0.4367, kb_relative_information_score: 27268.856, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7493, 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: 0.7991, f_measure: 0.7204, kappa: 0.4387, kb_relative_information_score: 23685.6409, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7164, kappa: 0.4309, kb_relative_information_score: 27679.565, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7164, predictive_accuracy: 0.7165, prior_entropy: 0.9976, recall: 0.7165, relative_absolute_error: 0.7439, 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: 0.7818, f_measure: 0.7056, kappa: 0.4091, kb_relative_information_score: 27524.4872, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7056, predictive_accuracy: 0.7058, prior_entropy: 0.9976, recall: 0.7058, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7206, kappa: 0.4394, kb_relative_information_score: 26587.7734, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7568, 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: 0.7775, f_measure: 0.7059, kappa: 0.4098, kb_relative_information_score: 20621.0076, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7059, predictive_accuracy: 0.706, prior_entropy: 0.9976, recall: 0.706, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7207, kappa: 0.4396, kb_relative_information_score: 26981.9774, mean_absolute_error: 0.375, 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: 0.7525, 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: 0.7226, f_measure: 0.6716, kappa: 0.3408, kb_relative_information_score: -190.0706, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6715, predictive_accuracy: 0.6717, prior_entropy: 0.9976, recall: 0.6717, relative_absolute_error: 1.0012, 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: 0.6928, f_measure: 0.5961, kappa: 0.2046, kb_relative_information_score: 1279.4207, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6166, predictive_accuracy: 0.6111, prior_entropy: 0.9976, recall: 0.6111, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.689, kappa: 0.3757, kb_relative_information_score: 6483.5107, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6889, predictive_accuracy: 0.6892, prior_entropy: 0.9976, recall: 0.6892, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6595, kappa: 0.3178, kb_relative_information_score: 15336.6125, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.664, predictive_accuracy: 0.663, prior_entropy: 0.9976, recall: 0.663, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7183, kappa: 0.4344, kb_relative_information_score: 23458.7062, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7183, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.791, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.719, kappa: 0.436, kb_relative_information_score: 27749.322, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9976, recall: 0.719, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6452, kappa: 0.2884, kb_relative_information_score: 13641.2405, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6478, predictive_accuracy: 0.6479, prior_entropy: 0.9976, recall: 0.6479, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 26425.3546, mean_absolute_error: 0.3782, 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: 0.7588, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 27158.5545, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 27850.4361, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7428, 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: 0.7989, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 26651.5895, mean_absolute_error: 0.3768, 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: 0.756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7208, kappa: 0.4395, kb_relative_information_score: 23861.4447, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7193, kappa: 0.4367, kb_relative_information_score: 27555.9401, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.4177, kappa: -0.0075, kb_relative_information_score: -98.646, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4907, predictive_accuracy: 0.5202, prior_entropy: 0.9976, recall: 0.5202, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 26933.336, mean_absolute_error: 0.3752, 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: 0.7529, 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: 0.7943, f_measure: 0.7166, kappa: 0.431, kb_relative_information_score: 21579.116, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7169, predictive_accuracy: 0.7172, prior_entropy: 0.9976, recall: 0.7172, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7169, kappa: 0.4319, kb_relative_information_score: 27587.9887, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7169, predictive_accuracy: 0.717, prior_entropy: 0.9976, recall: 0.717, relative_absolute_error: 0.7449, 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: 0.7988, f_measure: 0.7195, kappa: 0.4371, kb_relative_information_score: 26917.3114, mean_absolute_error: 0.3753, 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: 0.7531, 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: 0.7982, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26681.2909, mean_absolute_error: 0.3766, 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: 0.7557, 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: 0.7994, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 25152.8952, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 26138.8753, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7232, kappa: 0.4443, kb_relative_information_score: 25356.7492, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7231, predictive_accuracy: 0.7234, prior_entropy: 0.9976, recall: 0.7234, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.6533, kappa: 0.3041, kb_relative_information_score: 396.6581, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6532, predictive_accuracy: 0.6534, prior_entropy: 0.9976, recall: 0.6534, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.4725, kappa: 0.0923, kb_relative_information_score: 398.3031, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.645, predictive_accuracy: 0.568, prior_entropy: 0.9976, recall: 0.568, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.717, kappa: 0.432, kb_relative_information_score: 27551.8451, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7169, predictive_accuracy: 0.717, prior_entropy: 0.9976, recall: 0.717, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 27302.901, mean_absolute_error: 0.3733, 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: 0.7491, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.6717, kappa: 0.341, kb_relative_information_score: 1326.7341, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6716, predictive_accuracy: 0.6718, prior_entropy: 0.9976, recall: 0.6718, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7125, kappa: 0.4229, kb_relative_information_score: 27632.5641, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7124, predictive_accuracy: 0.7126, prior_entropy: 0.9976, recall: 0.7126, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.3832, kappa: 0.0116, kb_relative_information_score: 157.8692, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6003, predictive_accuracy: 0.5333, prior_entropy: 0.9976, recall: 0.5333, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6387, kappa: 0.2774, kb_relative_information_score: 1788.6379, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6449, predictive_accuracy: 0.6437, prior_entropy: 0.9976, recall: 0.6437, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7207, kappa: 0.4393, kb_relative_information_score: 24888.0386, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7044, kappa: 0.4067, kb_relative_information_score: 27533.2774, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7044, predictive_accuracy: 0.7045, prior_entropy: 0.9976, recall: 0.7045, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4757, f_measure: 0.3719, kappa: -0, kb_relative_information_score: -126.1785, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5013, predictive_accuracy: 0.5281, prior_entropy: 0.9976, recall: 0.5281, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 26181.1683, mean_absolute_error: 0.3796, 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: 0.7616, 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: 0.7697, f_measure: 0.7005, kappa: 0.3989, kb_relative_information_score: 10254.9511, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7004, predictive_accuracy: 0.7006, prior_entropy: 0.9976, recall: 0.7006, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7175, kappa: 0.4331, kb_relative_information_score: 27683.5189, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7175, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7102, kappa: 0.4181, kb_relative_information_score: 4997.0886, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7102, predictive_accuracy: 0.7105, prior_entropy: 0.9976, recall: 0.7105, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7141, kappa: 0.4261, kb_relative_information_score: 3711.1649, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.714, predictive_accuracy: 0.7142, prior_entropy: 0.9976, recall: 0.7142, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6396, kappa: 0.2794, kb_relative_information_score: 11671.5226, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6461, predictive_accuracy: 0.6447, prior_entropy: 0.9976, recall: 0.6447, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7023, kappa: 0.4024, kb_relative_information_score: 607.8199, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7022, predictive_accuracy: 0.7025, prior_entropy: 0.9976, recall: 0.7025, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9941,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.4618, kappa: 0.0868, kb_relative_information_score: 9468.2095, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6636, predictive_accuracy: 0.5661, prior_entropy: 0.9976, recall: 0.5661, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0778,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7189, kappa: 0.4359, kb_relative_information_score: 26762.3046, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7547, 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: 0.7987, f_measure: 0.7198, kappa: 0.4376, kb_relative_information_score: 26693.4881, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7192, kappa: 0.4365, kb_relative_information_score: 27347.8637, mean_absolute_error: 0.3729, 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: 0.7482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8579,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7203, kappa: 0.4388, kb_relative_information_score: 26809.6287, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7545, 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: 0.7942, f_measure: 0.7197, kappa: 0.4373, kb_relative_information_score: 5214.4992, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 26362.7638, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7596, 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: 0.6904, f_measure: 0.6416, kappa: 0.2803, kb_relative_information_score: 12451.872, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6416, predictive_accuracy: 0.6422, prior_entropy: 0.9976, recall: 0.6422, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.6557, kappa: 0.3101, kb_relative_information_score: 14511.1562, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6598, predictive_accuracy: 0.6591, prior_entropy: 0.9976, recall: 0.6591, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26505.762, mean_absolute_error: 0.3777, 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: 0.7578, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6892, kappa: 0.3759, kb_relative_information_score: 191.7644, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6897, predictive_accuracy: 0.69, prior_entropy: 0.9976, recall: 0.69, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7184, kappa: 0.4349, kb_relative_information_score: 27727.0927, mean_absolute_error: 0.3706, 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: 0.7437, 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: 0.7981, f_measure: 0.7202, kappa: 0.4386, kb_relative_information_score: 26414.2528, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7108, kappa: 0.4195, kb_relative_information_score: 3792.5759, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7108, predictive_accuracy: 0.711, prior_entropy: 0.9976, recall: 0.711, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7197, kappa: 0.4376, kb_relative_information_score: 26381.5898, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7199, kappa: 0.4378, kb_relative_information_score: 27618.9759, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,

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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From your own software

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

OpenML APIs