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: 0.741, f_measure: 0.6594, kappa: 0.3202, kb_relative_information_score: 1948.4553, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6689, predictive_accuracy: 0.6653, prior_entropy: 0.9976, recall: 0.6653, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7137, kappa: 0.4254, kb_relative_information_score: 27662.0481, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7136, predictive_accuracy: 0.7138, prior_entropy: 0.9976, recall: 0.7138, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7186, kappa: 0.4352, kb_relative_information_score: 27498.8038, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7462, 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: 0.8005, f_measure: 0.7221, kappa: 0.4422, kb_relative_information_score: 26320.3889, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.7602, 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: 0.7878, f_measure: 0.7151, kappa: 0.4281, kb_relative_information_score: 4498.9695, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7151, predictive_accuracy: 0.7154, prior_entropy: 0.9976, recall: 0.7154, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.6091, kappa: 0.2168, kb_relative_information_score: 8831.0157, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6122, predictive_accuracy: 0.613, prior_entropy: 0.9976, recall: 0.613, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7219, kappa: 0.4418, kb_relative_information_score: 26604.7724, mean_absolute_error: 0.3773, 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: 0.7571, 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: 0.7949, f_measure: 0.7205, kappa: 0.4389, kb_relative_information_score: 4627.1765, mean_absolute_error: 0.481, 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: 0.9651, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.719, kappa: 0.4359, kb_relative_information_score: 23897.2961, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7136, kappa: 0.4251, kb_relative_information_score: 2101.9197, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7136, predictive_accuracy: 0.7138, prior_entropy: 0.9976, recall: 0.7138, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.717, kappa: 0.4318, kb_relative_information_score: 4633.3719, mean_absolute_error: 0.4811, 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: 0.9653, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7151, kappa: 0.4281, kb_relative_information_score: 27785.4513, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7151, prior_entropy: 0.9976, recall: 0.7151, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6757, kappa: 0.3506, kb_relative_information_score: 812.908, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6811, predictive_accuracy: 0.6793, prior_entropy: 0.9976, recall: 0.6793, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7209, kappa: 0.4398, kb_relative_information_score: 26173.7249, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7213, kappa: 0.4406, kb_relative_information_score: 25357.6331, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, 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: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7155, kappa: 0.4291, kb_relative_information_score: 27710.4398, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7155, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.6323, kappa: 0.3088, kb_relative_information_score: 243.545, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6938, predictive_accuracy: 0.6465, prior_entropy: 0.9976, recall: 0.6465, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6409, kappa: 0.279, kb_relative_information_score: 7303.3135, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6408, predictive_accuracy: 0.6412, prior_entropy: 0.9976, recall: 0.6412, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6672, kappa: 0.3334, kb_relative_information_score: 5631.3926, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6681, predictive_accuracy: 0.6669, prior_entropy: 0.9976, recall: 0.6669, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7196, kappa: 0.4373, kb_relative_information_score: 26960.735, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7526, 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: 0.7956, f_measure: 0.7173, kappa: 0.4326, kb_relative_information_score: 27442.9707, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7172, predictive_accuracy: 0.7173, prior_entropy: 0.9976, recall: 0.7173, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.5384, kappa: 0.1431, kb_relative_information_score: 3646.5322, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6159, predictive_accuracy: 0.5874, prior_entropy: 0.9976, recall: 0.5874, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.3856, kappa: 0.0059, kb_relative_information_score: 199.7773, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5336, predictive_accuracy: 0.5302, prior_entropy: 0.9976, recall: 0.5302, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 25008.7548, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7155, kappa: 0.4288, kb_relative_information_score: 21579.2118, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.716, prior_entropy: 0.9976, recall: 0.716, relative_absolute_error: 0.8107, 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: 0.7989, f_measure: 0.7194, kappa: 0.4369, kb_relative_information_score: 26866.1425, mean_absolute_error: 0.3756, 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: 0.7537, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7201, kappa: 0.4384, kb_relative_information_score: 26360.3791, mean_absolute_error: 0.3785, 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: 0.6406, f_measure: 0.6046, kappa: 0.2071, kb_relative_information_score: 8159.1141, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6067, predictive_accuracy: 0.6078, prior_entropy: 0.9976, recall: 0.6078, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6955, kappa: 0.3897, kb_relative_information_score: 2451.9209, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.696, predictive_accuracy: 0.6954, prior_entropy: 0.9976, recall: 0.6954, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26628.7255, mean_absolute_error: 0.377, 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: 0.7565, 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: 0.7995, f_measure: 0.7205, kappa: 0.4392, kb_relative_information_score: 26880.7142, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7537, 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: 0.7781, f_measure: 0.7037, kappa: 0.4051, kb_relative_information_score: 4900.0716, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7037, predictive_accuracy: 0.704, prior_entropy: 0.9976, recall: 0.704, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6424, kappa: 0.2845, kb_relative_information_score: 12191.8129, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6481, predictive_accuracy: 0.647, prior_entropy: 0.9976, recall: 0.647, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7206, kappa: 0.4392, kb_relative_information_score: 25984.1889, mean_absolute_error: 0.3807, 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: 0.7639, 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: 0.7742, f_measure: 0.7023, kappa: 0.4023, kb_relative_information_score: 710.2301, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7024, predictive_accuracy: 0.7027, prior_entropy: 0.9976, recall: 0.7027, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7107, kappa: 0.4191, kb_relative_information_score: 2276.7403, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7108, predictive_accuracy: 0.7112, prior_entropy: 0.9976, recall: 0.7112, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.6854, kappa: 0.3683, kb_relative_information_score: 449.2897, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6858, predictive_accuracy: 0.6862, prior_entropy: 0.9976, recall: 0.6862, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 26259.7378, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7607, 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: 0.7968, f_measure: 0.7224, kappa: 0.4427, kb_relative_information_score: 6256.0888, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7224, predictive_accuracy: 0.7227, prior_entropy: 0.9976, recall: 0.7227, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.716, kappa: 0.4297, kb_relative_information_score: 21746.04, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7161, predictive_accuracy: 0.7164, prior_entropy: 0.9976, recall: 0.7164, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 26668.7735, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.622, kappa: 0.243, kb_relative_information_score: 10458.9001, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6259, predictive_accuracy: 0.6262, prior_entropy: 0.9976, recall: 0.6262, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.6878, kappa: 0.373, kb_relative_information_score: 3134.6778, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6884, predictive_accuracy: 0.6887, prior_entropy: 0.9976, recall: 0.6887, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7168, kappa: 0.4315, kb_relative_information_score: 666.7209, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7168, predictive_accuracy: 0.717, prior_entropy: 0.9976, recall: 0.717, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7188, kappa: 0.4358, kb_relative_information_score: 27376.3046, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7478, 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: 0.4649, f_measure: 0.3781, kappa: 0.0103, kb_relative_information_score: 107.0457, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6537, predictive_accuracy: 0.533, prior_entropy: 0.9976, recall: 0.533, relative_absolute_error: 0.9992, 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: 0.4477, f_measure: 0.3663, kappa: 0.0005, kb_relative_information_score: -1.6761, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6058, predictive_accuracy: 0.5288, prior_entropy: 0.9976, recall: 0.5288, 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: 0.7917, f_measure: 0.7173, kappa: 0.4323, kb_relative_information_score: 5849.2973, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7174, predictive_accuracy: 0.7177, prior_entropy: 0.9976, recall: 0.7177, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 26525.3547, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.757, 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: 0.7955, f_measure: 0.7169, kappa: 0.4319, kb_relative_information_score: 27609.8274, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7169, predictive_accuracy: 0.7169, prior_entropy: 0.9976, recall: 0.7169, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7216, kappa: 0.4414, kb_relative_information_score: 26702.9037, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7559, 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: 0.5928, f_measure: 0.3722, kappa: 0.0054, kb_relative_information_score: 120.7339, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6545, predictive_accuracy: 0.5309, prior_entropy: 0.9976, recall: 0.5309, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.432, kappa: -0.01, kb_relative_information_score: -101.1131, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4905, predictive_accuracy: 0.5171, prior_entropy: 0.9976, recall: 0.5171, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6657, kappa: 0.3288, kb_relative_information_score: 6406.2875, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6656, predictive_accuracy: 0.6659, prior_entropy: 0.9976, recall: 0.6659, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7165, kappa: 0.431, kb_relative_information_score: 27922.8464, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7165, predictive_accuracy: 0.7166, prior_entropy: 0.9976, recall: 0.7166, relative_absolute_error: 0.7412, 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: 0.7683, f_measure: 0.6952, kappa: 0.3878, kb_relative_information_score: 194.2966, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6954, predictive_accuracy: 0.6958, prior_entropy: 0.9976, recall: 0.6958, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.6951, kappa: 0.3881, kb_relative_information_score: 847.1931, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6951, predictive_accuracy: 0.6952, prior_entropy: 0.9976, recall: 0.6952, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7181, kappa: 0.4339, kb_relative_information_score: 5166.7306, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7182, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7201, kappa: 0.4381, kb_relative_information_score: 24054.8052, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.71, kappa: 0.4178, kb_relative_information_score: 2675.1115, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.71, predictive_accuracy: 0.7102, prior_entropy: 0.9976, recall: 0.7102, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7186, kappa: 0.4351, kb_relative_information_score: 23280.7499, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7109, kappa: 0.4198, kb_relative_information_score: 27654.3633, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7109, predictive_accuracy: 0.711, prior_entropy: 0.9976, recall: 0.711, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.5998, kappa: 0.197, kb_relative_information_score: 7615.4581, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6011, predictive_accuracy: 0.6024, prior_entropy: 0.9976, recall: 0.6024, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7222, kappa: 0.4424, kb_relative_information_score: 26347.1243, mean_absolute_error: 0.3789, 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: 0.7602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 26243.8143, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7609, 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: 0.7972, f_measure: 0.7228, kappa: 0.4435, kb_relative_information_score: 6991.8289, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7228, predictive_accuracy: 0.7231, prior_entropy: 0.9976, recall: 0.7231, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.72, kappa: 0.4378, kb_relative_information_score: 4711.1769, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7221, kappa: 0.4421, kb_relative_information_score: 26941.2117, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.7535, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7163, kappa: 0.4305, kb_relative_information_score: 27743.045, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7162, predictive_accuracy: 0.7163, prior_entropy: 0.9976, recall: 0.7163, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7055, kappa: 0.409, kb_relative_information_score: 2834.7046, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7055, predictive_accuracy: 0.7057, prior_entropy: 0.9976, recall: 0.7057, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3671, kappa: -0, kb_relative_information_score: -6.2124, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5001, predictive_accuracy: 0.5285, prior_entropy: 0.9976, recall: 0.5285, 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: 0.623, f_measure: 0.5944, kappa: 0.1854, kb_relative_information_score: 7196.0459, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5942, predictive_accuracy: 0.5951, prior_entropy: 0.9976, recall: 0.5951, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7227, kappa: 0.4433, kb_relative_information_score: 25551.3483, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7227, predictive_accuracy: 0.723, prior_entropy: 0.9976, recall: 0.723, relative_absolute_error: 0.7694, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.3833, kappa: 0.0048, kb_relative_information_score: -108.4821, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5302, predictive_accuracy: 0.5297, prior_entropy: 0.9976, recall: 0.5297, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26837.7973, mean_absolute_error: 0.3757, 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: 0.7538, 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: 0.7452, f_measure: 0.684, kappa: 0.3656, kb_relative_information_score: 95.7378, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6839, predictive_accuracy: 0.6842, prior_entropy: 0.9976, recall: 0.6842, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.9208, 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: 0.7639, f_measure: 0.6983, kappa: 0.3943, kb_relative_information_score: -248.4945, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6982, predictive_accuracy: 0.6985, prior_entropy: 0.9976, recall: 0.6985, relative_absolute_error: 1.0017, 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: 0.8009, f_measure: 0.7206, kappa: 0.4392, kb_relative_information_score: 25960.5623, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7644, 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: 0.7931, f_measure: 0.7182, kappa: 0.4343, kb_relative_information_score: 4484.0449, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7183, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.5903, kappa: 0.196, kb_relative_information_score: 1833.6608, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6141, predictive_accuracy: 0.6074, prior_entropy: 0.9976, recall: 0.6074, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7221, kappa: 0.4422, kb_relative_information_score: 25888.4508, 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: 0.7655, 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: 0.7981, f_measure: 0.7213, kappa: 0.4406, kb_relative_information_score: 27022.5979, mean_absolute_error: 0.3746, 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: 0.7518, 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: 0.7948, f_measure: 0.7204, kappa: 0.4387, kb_relative_information_score: 5228.8047, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7188, kappa: 0.4358, kb_relative_information_score: 26500.2804, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7574, 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: 0.6393, f_measure: 0.6205, kappa: 0.2383, kb_relative_information_score: 4336.277, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6204, predictive_accuracy: 0.6205, prior_entropy: 0.9976, recall: 0.6205, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 27680.5798, mean_absolute_error: 0.3711, 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: 0.7446, 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: 0.756, f_measure: 0.6881, kappa: 0.3748, kb_relative_information_score: 3670.7806, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6885, predictive_accuracy: 0.6879, prior_entropy: 0.9976, recall: 0.6879, relative_absolute_error: 0.973, 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: 0.7195, kappa: 0.4372, kb_relative_information_score: 26610.9854, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7076, kappa: 0.413, kb_relative_information_score: 27556.0135, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7075, predictive_accuracy: 0.7077, prior_entropy: 0.9976, recall: 0.7077, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7077, kappa: 0.4134, kb_relative_information_score: 27240.1247, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7077, predictive_accuracy: 0.7078, prior_entropy: 0.9976, recall: 0.7078, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 26676.959, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7196, kappa: 0.4372, kb_relative_information_score: 24903.5958, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7206, kappa: 0.4391, kb_relative_information_score: 24353.1436, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 27694.6447, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7231, kappa: 0.4442, kb_relative_information_score: 26694.6642, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7231, predictive_accuracy: 0.7232, prior_entropy: 0.9976, recall: 0.7232, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6175, kappa: 0.2923, kb_relative_information_score: -5.6231, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6961, predictive_accuracy: 0.6369, prior_entropy: 0.9976, recall: 0.6369, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.723, kappa: 0.4439, kb_relative_information_score: 26830.971, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7229, predictive_accuracy: 0.7231, prior_entropy: 0.9976, recall: 0.7231, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.3717, kappa: 0.0044, kb_relative_information_score: 78.591, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.621, predictive_accuracy: 0.5304, prior_entropy: 0.9976, recall: 0.5304, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7079, kappa: 0.4136, kb_relative_information_score: -278.8208, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7079, predictive_accuracy: 0.7082, prior_entropy: 0.9976, recall: 0.7082, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0002,

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