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: 0.7801, f_measure: 0.707, kappa: 0.4117, kb_relative_information_score: 3610.1329, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.707, predictive_accuracy: 0.7074, prior_entropy: 0.9976, recall: 0.7074, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6954, kappa: 0.3892, kb_relative_information_score: 5802.9434, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6956, predictive_accuracy: 0.6953, prior_entropy: 0.9976, recall: 0.6953, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.3656, kappa: -0, kb_relative_information_score: -0.7118, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4365, 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: 0.7945, f_measure: 0.7197, kappa: 0.4373, kb_relative_information_score: 9093.4984, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 26351.2672, mean_absolute_error: 0.3786, 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: 0.7598, 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: 0.7844, f_measure: 0.7085, kappa: 0.415, kb_relative_information_score: 27256.4432, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7085, predictive_accuracy: 0.7086, prior_entropy: 0.9976, recall: 0.7086, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.5913, kappa: 0.1792, kb_relative_information_score: 6901.3149, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5913, predictive_accuracy: 0.5925, prior_entropy: 0.9976, recall: 0.5925, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6516, kappa: 0.3007, kb_relative_information_score: 354.1848, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6515, predictive_accuracy: 0.6517, prior_entropy: 0.9976, recall: 0.6517, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7055, kappa: 0.4087, kb_relative_information_score: 1005.4876, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7055, predictive_accuracy: 0.7058, prior_entropy: 0.9976, recall: 0.7058, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 27458.1006, mean_absolute_error: 0.3725, 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: 0.7474, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6441, kappa: 0.2877, kb_relative_information_score: 12459.3685, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6494, predictive_accuracy: 0.6485, prior_entropy: 0.9976, recall: 0.6485, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7214, kappa: 0.4407, kb_relative_information_score: 27486.53, mean_absolute_error: 0.3725, 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: 0.7474, 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: 0.793, f_measure: 0.7187, kappa: 0.4354, kb_relative_information_score: 1121.3509, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7147, kappa: 0.4271, kb_relative_information_score: 21061.8461, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7153, prior_entropy: 0.9976, recall: 0.7153, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7111, kappa: 0.42, kb_relative_information_score: 101.2825, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7111, predictive_accuracy: 0.7114, prior_entropy: 0.9976, recall: 0.7114, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.6951, kappa: 0.3884, kb_relative_information_score: 2019.5421, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6952, predictive_accuracy: 0.695, prior_entropy: 0.9976, recall: 0.695, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7172, kappa: 0.4323, kb_relative_information_score: 1558.9466, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7172, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7172, kappa: 0.4323, kb_relative_information_score: 1097.3577, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7172, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.9921, 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: 0.7997, f_measure: 0.722, kappa: 0.4421, kb_relative_information_score: 26720.0328, mean_absolute_error: 0.3765, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7555, 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: 0.7795, f_measure: 0.7059, kappa: 0.4096, kb_relative_information_score: 8155.0062, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7059, predictive_accuracy: 0.7062, prior_entropy: 0.9976, recall: 0.7062, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7211, kappa: 0.4402, kb_relative_information_score: 24844.9752, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7765, 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: 0.8005, f_measure: 0.722, kappa: 0.4421, kb_relative_information_score: 26386.1279, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.722, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7595, 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: 0.7222, f_measure: 0.6202, kappa: 0.2934, kb_relative_information_score: 387.2169, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6923, predictive_accuracy: 0.6379, prior_entropy: 0.9976, recall: 0.6379, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7158, kappa: 0.4297, kb_relative_information_score: 27502.1515, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7158, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7184, kappa: 0.435, kb_relative_information_score: 26828.8639, mean_absolute_error: 0.3757, 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: 0.754, 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: 0.6675, f_measure: 0.646, kappa: 0.2896, kb_relative_information_score: 301.0571, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.646, predictive_accuracy: 0.6462, prior_entropy: 0.9976, recall: 0.6462, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.662, kappa: 0.3213, kb_relative_information_score: -111.1984, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6619, predictive_accuracy: 0.6623, prior_entropy: 0.9976, recall: 0.6623, relative_absolute_error: 1.0005, 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: 0.7926, f_measure: 0.7157, kappa: 0.4294, kb_relative_information_score: 11492.6346, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 24865.2731, mean_absolute_error: 0.3869, 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: 0.7764, 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: 0.7964, f_measure: 0.7185, kappa: 0.4351, kb_relative_information_score: 26567.2357, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7566, 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: 0.7485, f_measure: 0.6944, kappa: 0.3865, kb_relative_information_score: 11264.6333, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6943, predictive_accuracy: 0.6945, prior_entropy: 0.9976, recall: 0.6945, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7215, kappa: 0.4411, kb_relative_information_score: 25618.1344, mean_absolute_error: 0.3828, 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: 0.7681, 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: 0.4989, f_measure: 0.4772, kappa: -0.0095, kb_relative_information_score: -176.5649, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4957, predictive_accuracy: 0.5096, prior_entropy: 0.9976, recall: 0.5096, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.3657, kappa: -0, kb_relative_information_score: -99.2693, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4994, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6376, kappa: 0.2725, kb_relative_information_score: 3038.7094, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6375, predictive_accuracy: 0.6378, prior_entropy: 0.9976, recall: 0.6378, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6877, kappa: 0.373, kb_relative_information_score: -135.0763, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6876, predictive_accuracy: 0.6879, prior_entropy: 0.9976, recall: 0.6879, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7193, kappa: 0.4368, kb_relative_information_score: 26503.8089, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7199, kappa: 0.4378, kb_relative_information_score: 25089.065, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7738, 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: 0.7947, f_measure: 0.7175, kappa: 0.4331, kb_relative_information_score: 27911.7616, mean_absolute_error: 0.3694, 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: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.5977, kappa: 0.1944, kb_relative_information_score: 7563.8972, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6011, predictive_accuracy: 0.6022, prior_entropy: 0.9976, recall: 0.6022, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6877, kappa: 0.3729, kb_relative_information_score: 3150.8848, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6883, predictive_accuracy: 0.6887, prior_entropy: 0.9976, recall: 0.6887, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.6494, kappa: 0.2979, kb_relative_information_score: 13542.6403, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6542, predictive_accuracy: 0.6534, prior_entropy: 0.9976, recall: 0.6534, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.5926, kappa: 0.1848, kb_relative_information_score: -338.3908, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5941, predictive_accuracy: 0.5922, prior_entropy: 0.9976, recall: 0.5922, relative_absolute_error: 1.0023, 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: 0.801, f_measure: 0.722, kappa: 0.4421, kb_relative_information_score: 27172.7848, mean_absolute_error: 0.3742, 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: 0.7509, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7214, kappa: 0.4408, kb_relative_information_score: 27424.7799, mean_absolute_error: 0.3727, 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: 0.7479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.638, kappa: 0.2762, kb_relative_information_score: 11462.9232, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6444, predictive_accuracy: 0.6432, prior_entropy: 0.9976, recall: 0.6432, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7209, kappa: 0.4398, kb_relative_information_score: 4466.5152, mean_absolute_error: 0.4819, 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: 0.9671, 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: 0.7751, f_measure: 0.7115, kappa: 0.4208, kb_relative_information_score: 9459.196, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7114, predictive_accuracy: 0.7117, prior_entropy: 0.9976, recall: 0.7117, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7237, kappa: 0.4454, kb_relative_information_score: 7626.7156, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7237, predictive_accuracy: 0.724, prior_entropy: 0.9976, recall: 0.724, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6294, kappa: 0.2563, kb_relative_information_score: 1282.1294, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6294, predictive_accuracy: 0.6294, prior_entropy: 0.9976, recall: 0.6294, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.991,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7146, kappa: 0.4272, kb_relative_information_score: 27428.9967, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7146, predictive_accuracy: 0.7147, prior_entropy: 0.9976, recall: 0.7147, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.716, kappa: 0.4298, kb_relative_information_score: 644.0294, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.716, predictive_accuracy: 0.7162, prior_entropy: 0.9976, recall: 0.7162, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6407, kappa: 0.2802, kb_relative_information_score: 12675.5914, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6448, predictive_accuracy: 0.6445, prior_entropy: 0.9976, recall: 0.6445, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7053, kappa: 0.409, kb_relative_information_score: 2361.9668, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7055, predictive_accuracy: 0.7052, prior_entropy: 0.9976, recall: 0.7052, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.716, kappa: 0.4298, kb_relative_information_score: 22320.3784, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.716, predictive_accuracy: 0.7163, prior_entropy: 0.9976, recall: 0.7163, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.5902, kappa: 0.196, kb_relative_information_score: 3669.4308, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6142, predictive_accuracy: 0.6075, prior_entropy: 0.9976, recall: 0.6075, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.6686, kappa: 0.3347, kb_relative_information_score: 558.0893, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6685, predictive_accuracy: 0.6688, prior_entropy: 0.9976, recall: 0.6688, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.6648, kappa: 0.3271, kb_relative_information_score: 0.0859, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6647, predictive_accuracy: 0.665, prior_entropy: 0.9976, recall: 0.665, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 27661.8974, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7449, 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: 0.7988, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 26964.0049, mean_absolute_error: 0.3751, 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: 0.7526, 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: 0.6442, f_measure: 0.6089, kappa: 0.2161, kb_relative_information_score: 8676.428, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6116, predictive_accuracy: 0.6125, prior_entropy: 0.9976, recall: 0.6125, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7194, kappa: 0.4368, kb_relative_information_score: 27250.0446, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7067, kappa: 0.4112, kb_relative_information_score: 27753.111, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7066, predictive_accuracy: 0.7068, prior_entropy: 0.9976, recall: 0.7068, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7205, kappa: 0.4391, kb_relative_information_score: 26846.4143, mean_absolute_error: 0.3757, 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: 0.7539, 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: 0.7878, f_measure: 0.7111, kappa: 0.4201, kb_relative_information_score: 27575.711, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.711, predictive_accuracy: 0.7112, prior_entropy: 0.9976, recall: 0.7112, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7044, kappa: 0.4069, kb_relative_information_score: 8350.2856, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7044, predictive_accuracy: 0.7043, prior_entropy: 0.9976, recall: 0.7043, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.5877, kappa: 0.1726, kb_relative_information_score: 6774.6021, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5876, predictive_accuracy: 0.5877, prior_entropy: 0.9976, recall: 0.5877, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0894, 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: 0.7977, f_measure: 0.7193, kappa: 0.4367, kb_relative_information_score: 26595.0485, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7193, prior_entropy: 0.9976, recall: 0.7193, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.7058, kappa: 0.4093, kb_relative_information_score: 1489.8777, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7057, predictive_accuracy: 0.706, prior_entropy: 0.9976, recall: 0.706, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7111, kappa: 0.4198, kb_relative_information_score: 4723.0341, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7111, predictive_accuracy: 0.7114, prior_entropy: 0.9976, recall: 0.7114, relative_absolute_error: 0.9646, 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: 0.7858, f_measure: 0.713, kappa: 0.4239, kb_relative_information_score: 5671.8632, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7129, predictive_accuracy: 0.7131, prior_entropy: 0.9976, recall: 0.7131, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.638, kappa: 0.2732, kb_relative_information_score: 6169.209, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6379, predictive_accuracy: 0.6383, prior_entropy: 0.9976, recall: 0.6383, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7048, kappa: 0.4073, kb_relative_information_score: 2872.0465, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7048, predictive_accuracy: 0.7051, prior_entropy: 0.9976, recall: 0.7051, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7134, kappa: 0.4247, kb_relative_information_score: 6662.5515, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7134, predictive_accuracy: 0.7136, prior_entropy: 0.9976, recall: 0.7136, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.4271, kappa: 0.0436, kb_relative_information_score: 480.1147, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6068, predictive_accuracy: 0.5464, prior_entropy: 0.9976, recall: 0.5464, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.6915, kappa: 0.3806, kb_relative_information_score: -397.5018, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6915, predictive_accuracy: 0.6919, prior_entropy: 0.9976, recall: 0.6919, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7131, kappa: 0.424, kb_relative_information_score: 2085.8651, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.713, predictive_accuracy: 0.7132, prior_entropy: 0.9976, recall: 0.7132, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7154, kappa: 0.4286, kb_relative_information_score: 20656.1434, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7156, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7208, kappa: 0.4395, kb_relative_information_score: 25039.4537, mean_absolute_error: 0.3858, 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: 0.7742, 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: 0.7908, f_measure: 0.7175, kappa: 0.4329, kb_relative_information_score: 9593.0023, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7175, predictive_accuracy: 0.7177, prior_entropy: 0.9976, recall: 0.7177, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7104, kappa: 0.4186, kb_relative_information_score: 4415.988, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7104, predictive_accuracy: 0.7107, prior_entropy: 0.9976, recall: 0.7107, 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: 0.7939, f_measure: 0.7161, kappa: 0.4303, kb_relative_information_score: 27854.7492, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7161, predictive_accuracy: 0.7162, prior_entropy: 0.9976, recall: 0.7162, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7215, kappa: 0.441, kb_relative_information_score: 26031.6797, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7635, 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: 0.6593, f_measure: 0.6368, kappa: 0.271, kb_relative_information_score: 1064.958, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6367, predictive_accuracy: 0.637, prior_entropy: 0.9976, recall: 0.637, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.3851, kappa: 0.0136, kb_relative_information_score: 123.4784, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6103, predictive_accuracy: 0.5342, prior_entropy: 0.9976, recall: 0.5342, relative_absolute_error: 0.9992, 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: 0.7929, f_measure: 0.7156, kappa: 0.4291, kb_relative_information_score: 1883.7189, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7156, predictive_accuracy: 0.7158, prior_entropy: 0.9976, recall: 0.7158, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 27157.9308, mean_absolute_error: 0.3741, 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: 0.7506, 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: 0.7999, f_measure: 0.7219, kappa: 0.4419, kb_relative_information_score: 25677.7346, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.5155, kappa: 0.0424, kb_relative_information_score: 780.7228, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.525, predictive_accuracy: 0.5311, prior_entropy: 0.9976, recall: 0.5311, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7108, kappa: 0.4196, kb_relative_information_score: 7144.0803, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7108, predictive_accuracy: 0.7109, prior_entropy: 0.9976, recall: 0.7109, relative_absolute_error: 0.9448, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 25791.1264, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7658, 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: 0.7988, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26244.2615, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7607, 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: 0.6767, f_measure: 0.6386, kappa: 0.2744, kb_relative_information_score: 2166.2158, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6384, predictive_accuracy: 0.6388, prior_entropy: 0.9976, recall: 0.6388, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7119, kappa: 0.4216, kb_relative_information_score: 9942.6835, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7118, predictive_accuracy: 0.7121, prior_entropy: 0.9976, recall: 0.7121, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.651, kappa: 0.3034, kb_relative_information_score: 2648.4747, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.66, predictive_accuracy: 0.657, prior_entropy: 0.9976, recall: 0.657, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7231, kappa: 0.4441, kb_relative_information_score: 25552.2884, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7231, predictive_accuracy: 0.7233, prior_entropy: 0.9976, recall: 0.7233, 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: 0.5189, f_measure: 0.3847, kappa: 0.0149, kb_relative_information_score: 387.1817, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6364, predictive_accuracy: 0.5349, prior_entropy: 0.9976, recall: 0.5349, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.625, kappa: 0.2491, kb_relative_information_score: 10849.3017, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6293, predictive_accuracy: 0.6293, prior_entropy: 0.9976, recall: 0.6293, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9522,

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