OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14205 runs submitted
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14205 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.3658, kappa: 0.0001, kb_relative_information_score: 8.1006, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5413, 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: 0.7287, f_measure: 0.6364, kappa: 0.3125, kb_relative_information_score: 236.7505, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6916, predictive_accuracy: 0.6488, prior_entropy: 0.9976, recall: 0.6488, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.6851, kappa: 0.3692, kb_relative_information_score: 4029.3714, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.686, predictive_accuracy: 0.6848, prior_entropy: 0.9976, recall: 0.6848, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6383, kappa: 0.2758, kb_relative_information_score: 12019.4521, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6429, predictive_accuracy: 0.6424, prior_entropy: 0.9976, recall: 0.6424, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.6977, kappa: 0.394, kb_relative_information_score: 7490.7765, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6981, predictive_accuracy: 0.6976, prior_entropy: 0.9976, recall: 0.6976, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3958, kb_relative_information_score: -260.9745, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7204, kappa: 0.439, kb_relative_information_score: 26800.5445, mean_absolute_error: 0.376, 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: 0.7545, 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: 0.7257, f_measure: 0.6651, kappa: 0.3277, kb_relative_information_score: 1116.7805, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.665, predictive_accuracy: 0.6653, prior_entropy: 0.9976, recall: 0.6653, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.718, kappa: 0.4341, kb_relative_information_score: 27684.409, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.718, predictive_accuracy: 0.7181, prior_entropy: 0.9976, recall: 0.7181, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5267, kappa: 0.0585, kb_relative_information_score: 1279.1918, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5328, predictive_accuracy: 0.5375, prior_entropy: 0.9976, recall: 0.5375, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7134, kappa: 0.4247, kb_relative_information_score: 2532.8127, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7133, predictive_accuracy: 0.7135, prior_entropy: 0.9976, recall: 0.7135, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3657, kappa: -0, kb_relative_information_score: 1.2816, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.497, 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: 0.7648, f_measure: 0.7065, kappa: 0.4109, kb_relative_information_score: 8094.0389, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7065, predictive_accuracy: 0.7067, prior_entropy: 0.9976, recall: 0.7067, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7215, kappa: 0.441, kb_relative_information_score: 26820.2206, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7541, 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: 0.7727, f_measure: 0.7044, kappa: 0.407, kb_relative_information_score: 8459.011, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7045, predictive_accuracy: 0.7043, prior_entropy: 0.9976, recall: 0.7043, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.3663, kappa: 0.0001, kb_relative_information_score: -2.8979, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5209, 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: 0.7844, f_measure: 0.7105, kappa: 0.4189, kb_relative_information_score: -287.7075, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7105, predictive_accuracy: 0.7108, prior_entropy: 0.9976, recall: 0.7108, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7177, kappa: 0.4334, kb_relative_information_score: 27504.6749, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7178, prior_entropy: 0.9976, recall: 0.7178, relative_absolute_error: 0.7462, 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: 0.7938, f_measure: 0.7156, kappa: 0.4292, kb_relative_information_score: 27372.0117, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7156, predictive_accuracy: 0.7157, prior_entropy: 0.9976, recall: 0.7157, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 26406.7855, mean_absolute_error: 0.3781, 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: 0.7588, 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: 0.7997, f_measure: 0.721, kappa: 0.4402, kb_relative_information_score: 26080.3017, mean_absolute_error: 0.3801, 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: 0.7627, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7202, kappa: 0.4383, kb_relative_information_score: 4794.6935, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 26426.4508, mean_absolute_error: 0.3782, 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: 0.7589, 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: 0.7979, f_measure: 0.7188, kappa: 0.4357, kb_relative_information_score: 26684.0812, mean_absolute_error: 0.3765, 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: 0.7555, 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: 0.7978, f_measure: 0.7186, kappa: 0.4352, kb_relative_information_score: 27673.3204, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7444, 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: 0.7844, f_measure: 0.7098, kappa: 0.4176, kb_relative_information_score: 27408.5186, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7098, predictive_accuracy: 0.7099, prior_entropy: 0.9976, recall: 0.7099, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7209, kappa: 0.4398, kb_relative_information_score: 27398.7457, mean_absolute_error: 0.3728, 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: 0.748, 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: 0.8002, f_measure: 0.7216, kappa: 0.4413, kb_relative_information_score: 26819.5696, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7215, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26553.396, mean_absolute_error: 0.3773, 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: 0.7571, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 26668.7151, mean_absolute_error: 0.3769, 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: 0.7563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7195, kappa: 0.437, kb_relative_information_score: 27367.5948, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7055, kappa: 0.4089, kb_relative_information_score: 27502.5007, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7054, predictive_accuracy: 0.7056, prior_entropy: 0.9976, recall: 0.7056, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3697, kappa: 0.0019, kb_relative_information_score: 12.6875, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5593, predictive_accuracy: 0.5293, prior_entropy: 0.9976, recall: 0.5293, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.6243, kappa: 0.2462, kb_relative_information_score: 5620.0383, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6243, predictive_accuracy: 0.6242, prior_entropy: 0.9976, recall: 0.6242, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4735, f_measure: 0.3668, kappa: -0.0003, kb_relative_information_score: -128.0067, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4814, predictive_accuracy: 0.5283, prior_entropy: 0.9976, recall: 0.5283, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.6929, kappa: 0.3834, kb_relative_information_score: -376.5912, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.693, predictive_accuracy: 0.6934, prior_entropy: 0.9976, recall: 0.6934, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7061, kappa: 0.41, kb_relative_information_score: 11582.7498, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7061, predictive_accuracy: 0.7063, prior_entropy: 0.9976, recall: 0.7063, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7207, kappa: 0.4393, kb_relative_information_score: 4309.8677, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 27610.5931, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4842, f_measure: 0.3956, kappa: 0.0137, kb_relative_information_score: 117.7806, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5569, predictive_accuracy: 0.5334, prior_entropy: 0.9976, recall: 0.5334, relative_absolute_error: 0.9991, 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: 0.7449, f_measure: 0.6934, kappa: 0.3844, kb_relative_information_score: 6064.7091, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6933, predictive_accuracy: 0.6936, prior_entropy: 0.9976, recall: 0.6936, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 25933.8736, mean_absolute_error: 0.3809, 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: 0.7643, 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: 0.765, f_measure: 0.6926, kappa: 0.3827, kb_relative_information_score: -158.6385, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6926, predictive_accuracy: 0.693, prior_entropy: 0.9976, recall: 0.693, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7114, kappa: 0.4206, kb_relative_information_score: 4413.6822, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7114, predictive_accuracy: 0.7118, prior_entropy: 0.9976, recall: 0.7118, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7215, kappa: 0.4411, kb_relative_information_score: 25957.3961, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7215, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7644, 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: 0.7808, f_measure: 0.706, kappa: 0.4096, kb_relative_information_score: 1623.3686, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7059, predictive_accuracy: 0.7063, prior_entropy: 0.9976, recall: 0.7063, relative_absolute_error: 0.9883, 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: 0.7946, f_measure: 0.7146, kappa: 0.4272, kb_relative_information_score: 27707.8296, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7145, predictive_accuracy: 0.7147, prior_entropy: 0.9976, recall: 0.7147, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 26612.3178, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7566, 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: 0.5123, f_measure: 0.4165, kappa: 0.0079, kb_relative_information_score: 74.5276, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5159, predictive_accuracy: 0.5285, prior_entropy: 0.9976, recall: 0.5285, relative_absolute_error: 0.9994, 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: 0.8, f_measure: 0.7205, kappa: 0.4391, kb_relative_information_score: 27257.1699, mean_absolute_error: 0.3736, 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: 0.7497, 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: 0.7956, f_measure: 0.7176, kappa: 0.4332, kb_relative_information_score: 27641.4181, mean_absolute_error: 0.371, 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: 0.7445, 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: 0.7977, f_measure: 0.7192, kappa: 0.4361, kb_relative_information_score: 23098.6412, mean_absolute_error: 0.3963, 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: 0.7952, 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: 0.7994, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 25708.4786, mean_absolute_error: 0.3822, 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: 0.7668, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, kb_relative_information_score: 32.3471, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7206, kappa: 0.4394, kb_relative_information_score: 27295.124, mean_absolute_error: 0.3734, 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: 0.7492, 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: 0.6618, f_measure: 0.6252, kappa: 0.2509, kb_relative_information_score: 9641.563, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6315, predictive_accuracy: 0.6307, prior_entropy: 0.9976, recall: 0.6307, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.6837, kappa: 0.3651, kb_relative_information_score: 1473.5015, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6852, predictive_accuracy: 0.6853, prior_entropy: 0.9976, recall: 0.6853, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7221, kappa: 0.4424, kb_relative_information_score: 26908.1398, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7214, kappa: 0.4408, kb_relative_information_score: 26709.7641, mean_absolute_error: 0.3767, 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: 0.7559, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.639, kappa: 0.2781, kb_relative_information_score: 11775.4875, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6452, predictive_accuracy: 0.644, prior_entropy: 0.9976, recall: 0.644, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 25688.5215, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7672, 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: 0.8016, f_measure: 0.7224, kappa: 0.4428, kb_relative_information_score: 26154.8594, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7223, predictive_accuracy: 0.7225, prior_entropy: 0.9976, recall: 0.7225, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7183, kappa: 0.4347, kb_relative_information_score: 26633.3312, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7183, predictive_accuracy: 0.7183, prior_entropy: 0.9976, recall: 0.7183, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7197, kappa: 0.4376, kb_relative_information_score: 26492.568, mean_absolute_error: 0.3776, 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: 0.7576, 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: 0.7987, f_measure: 0.7195, kappa: 0.437, kb_relative_information_score: 24539.6616, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.7795, 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: 0.729, f_measure: 0.669, kappa: 0.3366, kb_relative_information_score: 17218.4653, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6731, predictive_accuracy: 0.6722, prior_entropy: 0.9976, recall: 0.6722, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6465, kappa: 0.2901, kb_relative_information_score: 4355.8594, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6464, predictive_accuracy: 0.6469, prior_entropy: 0.9976, recall: 0.6469, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3657, kappa: 0.0001, kb_relative_information_score: 0.4619, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7508, 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: 0.798, f_measure: 0.7189, kappa: 0.4357, kb_relative_information_score: 23908.4763, mean_absolute_error: 0.3918, 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: 0.7863, 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: 0.7806, f_measure: 0.7106, kappa: 0.4189, kb_relative_information_score: 4728.5227, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7106, predictive_accuracy: 0.711, prior_entropy: 0.9976, recall: 0.711, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7214, kappa: 0.4409, kb_relative_information_score: 26833.1436, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7221, kappa: 0.4423, kb_relative_information_score: 26842.48, mean_absolute_error: 0.3762, 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: 0.7549, 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: 0.8009, f_measure: 0.7214, kappa: 0.4407, kb_relative_information_score: 25396.7377, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.7708, 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: 0.7825, f_measure: 0.7117, kappa: 0.4214, kb_relative_information_score: 6911.3793, mean_absolute_error: 0.4718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7117, predictive_accuracy: 0.7119, prior_entropy: 0.9976, recall: 0.7119, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.6878, kappa: 0.3733, kb_relative_information_score: 2836.6094, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6877, predictive_accuracy: 0.688, prior_entropy: 0.9976, recall: 0.688, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7114, kappa: 0.4208, kb_relative_information_score: 27567.3499, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7114, predictive_accuracy: 0.7115, prior_entropy: 0.9976, recall: 0.7115, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7192, kappa: 0.4365, kb_relative_information_score: 27492.1772, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7467, 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: 0.7116, f_measure: 0.6571, kappa: 0.3129, kb_relative_information_score: 14926.8909, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6613, predictive_accuracy: 0.6606, prior_entropy: 0.9976, recall: 0.6606, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7191, kappa: 0.4361, kb_relative_information_score: 24401.9823, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7207, kappa: 0.4392, kb_relative_information_score: 24700.8995, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.366, kappa: 0.0002, kb_relative_information_score: -8.0016, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5413, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7173, kappa: 0.4328, kb_relative_information_score: 27677.7333, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7173, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, f_measure: 0.3977, kappa: 0.0006, kb_relative_information_score: -129.389, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5032, predictive_accuracy: 0.5264, prior_entropy: 0.9976, recall: 0.5264, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.719, kappa: 0.4359, kb_relative_information_score: 24532.7208, mean_absolute_error: 0.3886, 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: 0.7797, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6434, kappa: 0.2867, kb_relative_information_score: 13204.3652, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6495, predictive_accuracy: 0.6482, prior_entropy: 0.9976, recall: 0.6482, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26257.0844, mean_absolute_error: 0.3793, 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: 0.761, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7076, kappa: 0.4129, kb_relative_information_score: 5918.6753, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7075, predictive_accuracy: 0.7078, prior_entropy: 0.9976, recall: 0.7078, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7184, kappa: 0.4349, kb_relative_information_score: 26617.9382, mean_absolute_error: 0.3768, 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: 0.7561, 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: 0.6428, f_measure: 0.6083, kappa: 0.2154, kb_relative_information_score: 8730.1443, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6118, predictive_accuracy: 0.6125, prior_entropy: 0.9976, recall: 0.6125, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7047, kappa: 0.4072, kb_relative_information_score: 27733.8413, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7046, predictive_accuracy: 0.7048, prior_entropy: 0.9976, recall: 0.7048, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6472, kappa: 0.2917, kb_relative_information_score: 4086.7461, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6471, predictive_accuracy: 0.6475, prior_entropy: 0.9976, recall: 0.6475, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 26239.9511, mean_absolute_error: 0.3791, 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: 0.7607, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7103, kappa: 0.4183, kb_relative_information_score: 1970.1541, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7103, predictive_accuracy: 0.7106, prior_entropy: 0.9976, recall: 0.7106, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6784, kappa: 0.3544, kb_relative_information_score: 2785.1574, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6783, predictive_accuracy: 0.6786, prior_entropy: 0.9976, recall: 0.6786, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5017, kappa: 0.0511, kb_relative_information_score: 444.0757, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5364, predictive_accuracy: 0.5407, prior_entropy: 0.9976, recall: 0.5407, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7531, f_measure: 0.7046, kappa: 0.4069, kb_relative_information_score: 5650.7916, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7045, predictive_accuracy: 0.7048, prior_entropy: 0.9976, recall: 0.7048, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7184, kappa: 0.4345, kb_relative_information_score: 5006.1852, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4812, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7086, kappa: 0.4149, kb_relative_information_score: 1951.8851, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7086, predictive_accuracy: 0.7089, prior_entropy: 0.9976, recall: 0.7089, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6651, kappa: 0.3278, kb_relative_information_score: 1456.1953, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.665, predictive_accuracy: 0.6653, prior_entropy: 0.9976, recall: 0.6653, relative_absolute_error: 0.9888, 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: 0.8004, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 25446.9235, mean_absolute_error: 0.3837, 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: 0.7699, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,

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