OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7208, kappa: 0.4396, kb_relative_information_score: 24494.1226, mean_absolute_error: 0.3888, 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: 0.7802, 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: 0.7348, f_measure: 0.6718, kappa: 0.3414, kb_relative_information_score: 7157.8133, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6718, predictive_accuracy: 0.6717, prior_entropy: 0.9976, recall: 0.6717, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, f_measure: 0.5182, kappa: 0.0821, kb_relative_information_score: 640.9419, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5573, predictive_accuracy: 0.5556, prior_entropy: 0.9976, recall: 0.5556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7215, kappa: 0.4409, kb_relative_information_score: 24977.4981, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7215, predictive_accuracy: 0.7218, prior_entropy: 0.9976, recall: 0.7218, relative_absolute_error: 0.7754, 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: 0.791, f_measure: 0.7181, kappa: 0.4342, kb_relative_information_score: 9866.6441, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7181, predictive_accuracy: 0.7183, prior_entropy: 0.9976, recall: 0.7183, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7207, kappa: 0.4396, kb_relative_information_score: 27614.9697, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, kb_relative_information_score: 36.9517, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.711, kappa: 0.4198, kb_relative_information_score: 11707.7919, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7109, predictive_accuracy: 0.7112, prior_entropy: 0.9976, recall: 0.7112, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7213, kappa: 0.4408, kb_relative_information_score: 26750.2545, mean_absolute_error: 0.3765, 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: 0.7554, 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: 0.8, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26179.9925, mean_absolute_error: 0.3796, 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: 0.7617, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.6355, kappa: 0.3117, kb_relative_information_score: 231.3471, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6921, predictive_accuracy: 0.6484, prior_entropy: 0.9976, recall: 0.6484, 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: 0.7777, f_measure: 0.7033, kappa: 0.4045, kb_relative_information_score: 26936.1116, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7032, predictive_accuracy: 0.7034, prior_entropy: 0.9976, recall: 0.7034, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6563, kappa: 0.3232, kb_relative_information_score: 579.2335, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.671, predictive_accuracy: 0.6584, prior_entropy: 0.9976, recall: 0.6584, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7116, kappa: 0.4211, kb_relative_information_score: 27496.8331, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7115, predictive_accuracy: 0.7117, prior_entropy: 0.9976, recall: 0.7117, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.3809, kappa: 0.0018, kb_relative_information_score: 50.4742, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5132, predictive_accuracy: 0.5284, prior_entropy: 0.9976, recall: 0.5284, relative_absolute_error: 0.9996, 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: 0.7993, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 26410.3804, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7588, 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: 0.8006, f_measure: 0.7217, kappa: 0.4412, kb_relative_information_score: 24537.1623, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7217, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7023, kappa: 0.4024, kb_relative_information_score: 27243.0728, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7022, predictive_accuracy: 0.7024, prior_entropy: 0.9976, recall: 0.7024, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, f_measure: 0.5241, kappa: 0.0868, kb_relative_information_score: 1393.8118, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.558, predictive_accuracy: 0.5571, prior_entropy: 0.9976, recall: 0.5571, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.6923, kappa: 0.3832, kb_relative_information_score: 825.54, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6927, predictive_accuracy: 0.6922, prior_entropy: 0.9976, recall: 0.6922, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.6964, kappa: 0.3908, kb_relative_information_score: 5733.4253, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6964, predictive_accuracy: 0.6963, prior_entropy: 0.9976, recall: 0.6963, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.094, 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: 0.7908, f_measure: 0.7134, kappa: 0.4246, kb_relative_information_score: 2673.9705, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7133, predictive_accuracy: 0.7136, prior_entropy: 0.9976, recall: 0.7136, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.6996, kappa: 0.3969, kb_relative_information_score: 12764.8227, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6995, predictive_accuracy: 0.6998, prior_entropy: 0.9976, recall: 0.6998, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0933, 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: 0.801, f_measure: 0.7222, kappa: 0.4424, kb_relative_information_score: 26379.8626, mean_absolute_error: 0.3786, 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: 0.7598, 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: 0.5622, f_measure: 0.3741, kappa: 0.0062, kb_relative_information_score: 95.8925, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.623, predictive_accuracy: 0.5312, prior_entropy: 0.9976, recall: 0.5312, relative_absolute_error: 0.9993, 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: 0.6917, f_measure: 0.6461, kappa: 0.2895, kb_relative_information_score: 4048.3167, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.646, predictive_accuracy: 0.6465, prior_entropy: 0.9976, recall: 0.6465, relative_absolute_error: 0.9692, 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: 0.6793, f_measure: 0.6366, kappa: 0.2731, kb_relative_information_score: 11454.0697, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6424, predictive_accuracy: 0.6415, prior_entropy: 0.9976, recall: 0.6415, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7195, kappa: 0.4371, kb_relative_information_score: 26950.5882, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7527, 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: 0.7864, f_measure: 0.7085, kappa: 0.4147, kb_relative_information_score: 17645.1618, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7095, predictive_accuracy: 0.7095, prior_entropy: 0.9976, recall: 0.7095, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.697, kappa: 0.3915, kb_relative_information_score: 1654.4767, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6971, predictive_accuracy: 0.6975, prior_entropy: 0.9976, recall: 0.6975, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6218, kappa: 0.2983, kb_relative_information_score: 163.5902, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6978, predictive_accuracy: 0.6402, prior_entropy: 0.9976, recall: 0.6402, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7147, kappa: 0.4273, kb_relative_information_score: 3973.9501, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7147, predictive_accuracy: 0.715, prior_entropy: 0.9976, recall: 0.715, relative_absolute_error: 0.9705, 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: 0.7996, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 26048.4924, mean_absolute_error: 0.3803, 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: 0.7631, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7217, kappa: 0.4414, kb_relative_information_score: 26172.858, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7218, prior_entropy: 0.9976, recall: 0.7218, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.3658, kappa: 0.0001, kb_relative_information_score: 1.48, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5232, 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: 0.6741, f_measure: 0.6545, kappa: 0.3064, kb_relative_information_score: 2318.7019, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6544, predictive_accuracy: 0.6547, prior_entropy: 0.9976, recall: 0.6547, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7006, kappa: 0.3992, kb_relative_information_score: 1551.5685, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7006, predictive_accuracy: 0.7006, prior_entropy: 0.9976, recall: 0.7006, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7059, kappa: 0.4097, kb_relative_information_score: 3154.9068, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7059, predictive_accuracy: 0.7061, prior_entropy: 0.9976, recall: 0.7061, relative_absolute_error: 0.9763, 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: 0.7982, f_measure: 0.7191, kappa: 0.4364, kb_relative_information_score: 26948.7865, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7527, 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: 0.7955, f_measure: 0.7176, kappa: 0.4329, kb_relative_information_score: 22009.2426, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7177, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7193, kappa: 0.4364, kb_relative_information_score: 23397.1191, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7185, kappa: 0.435, kb_relative_information_score: 27847.9353, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7424, 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: 0.8008, f_measure: 0.7216, kappa: 0.4413, kb_relative_information_score: 26391.7399, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7186, kappa: 0.435, kb_relative_information_score: 22281.7771, mean_absolute_error: 0.4005, 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: 0.8037, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7217, kappa: 0.4414, kb_relative_information_score: 25960.7865, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.716, kappa: 0.4296, kb_relative_information_score: 21856.8299, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7161, predictive_accuracy: 0.7164, prior_entropy: 0.9976, recall: 0.7164, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7206, kappa: 0.4394, kb_relative_information_score: 26675.6171, mean_absolute_error: 0.3765, 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: 0.7555, 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: 0.5107, kb_relative_information_score: -6.2948, 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: 0.8023, f_measure: 0.7224, kappa: 0.4429, kb_relative_information_score: 26474.3157, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7224, predictive_accuracy: 0.7226, prior_entropy: 0.9976, recall: 0.7226, relative_absolute_error: 0.759, 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: 0.6267, f_measure: 0.5976, kappa: 0.1919, kb_relative_information_score: 7390.3793, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5977, predictive_accuracy: 0.5988, prior_entropy: 0.9976, recall: 0.5988, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7108, kappa: 0.4196, kb_relative_information_score: 27292.3913, mean_absolute_error: 0.3721, 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: 0.7467, 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: 0.7807, f_measure: 0.7054, kappa: 0.4085, kb_relative_information_score: 1221.313, mean_absolute_error: 0.494, 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: 0.9913, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7193, kappa: 0.4368, kb_relative_information_score: 27115.6035, mean_absolute_error: 0.3742, 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: 0.7509, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7179, kappa: 0.4337, kb_relative_information_score: 219.122, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.7182, prior_entropy: 0.9976, recall: 0.7182, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 25074.664, mean_absolute_error: 0.3856, 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: 0.7737, 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: 0.7984, f_measure: 0.7192, kappa: 0.4366, kb_relative_information_score: 26646.437, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.3677, kappa: 0.0006, kb_relative_information_score: -6.1444, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5321, predictive_accuracy: 0.5287, prior_entropy: 0.9976, recall: 0.5287, 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: 0.7895, f_measure: 0.713, kappa: 0.4239, kb_relative_information_score: 27618.4284, mean_absolute_error: 0.3704, 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: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7193, kappa: 0.4368, kb_relative_information_score: 27367.9931, mean_absolute_error: 0.3728, 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: 0.748, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 27372.9045, mean_absolute_error: 0.373, 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: 0.7485, 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: 0.799, f_measure: 0.7199, kappa: 0.4379, kb_relative_information_score: 27092.2761, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7514, 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: 0.7997, f_measure: 0.7213, kappa: 0.4407, kb_relative_information_score: 26177.485, mean_absolute_error: 0.3796, 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: 0.7617, 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: 0.7955, f_measure: 0.7174, kappa: 0.4329, kb_relative_information_score: 27560.8105, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7174, predictive_accuracy: 0.7175, prior_entropy: 0.9976, recall: 0.7175, relative_absolute_error: 0.7454, 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: 0.7378, f_measure: 0.6612, kappa: 0.3203, kb_relative_information_score: 1094.4589, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6638, predictive_accuracy: 0.6637, prior_entropy: 0.9976, recall: 0.6637, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7076, f_measure: 0.6572, kappa: 0.3117, kb_relative_information_score: 7150.6895, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6571, predictive_accuracy: 0.6576, prior_entropy: 0.9976, recall: 0.6576, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.718, kappa: 0.4337, kb_relative_information_score: 22676.5198, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7182, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7214, kappa: 0.4408, kb_relative_information_score: 27364.7093, mean_absolute_error: 0.3731, 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: 0.7486, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7197, kappa: 0.4374, kb_relative_information_score: 6163.1261, mean_absolute_error: 0.4749, 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: 0.9529, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7206, kappa: 0.4394, kb_relative_information_score: 27397.0657, mean_absolute_error: 0.3729, 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: 0.7482, 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: 0.7924, f_measure: 0.7147, kappa: 0.4274, kb_relative_information_score: 27473.8741, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7147, 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: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7148, kappa: 0.4276, kb_relative_information_score: 27789.5777, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7148, predictive_accuracy: 0.7149, prior_entropy: 0.9976, recall: 0.7149, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7205, kappa: 0.4388, kb_relative_information_score: 24194.8983, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7197, kappa: 0.4376, kb_relative_information_score: 26585.3942, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7567, 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: 0.8018, f_measure: 0.7222, kappa: 0.4425, kb_relative_information_score: 26722.0121, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7222, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.7562, 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: 0.7373, f_measure: 0.6199, kappa: 0.2979, kb_relative_information_score: 63.8985, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7014, predictive_accuracy: 0.6397, prior_entropy: 0.9976, recall: 0.6397, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.6943, kappa: 0.3863, kb_relative_information_score: 472.6145, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6943, predictive_accuracy: 0.6946, prior_entropy: 0.9976, recall: 0.6946, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7127, kappa: 0.4231, kb_relative_information_score: 136.8977, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7127, predictive_accuracy: 0.713, prior_entropy: 0.9976, recall: 0.713, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7165, kappa: 0.431, kb_relative_information_score: 27595.4712, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7164, predictive_accuracy: 0.7165, prior_entropy: 0.9976, recall: 0.7165, relative_absolute_error: 0.7446, 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: 0.7933, f_measure: 0.7158, kappa: 0.4295, kb_relative_information_score: 10829.9452, mean_absolute_error: 0.4554, 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: 0.9138, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.6438, kappa: 0.2886, kb_relative_information_score: 3468.1967, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6518, predictive_accuracy: 0.6496, prior_entropy: 0.9976, recall: 0.6496, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6847, kappa: 0.3668, kb_relative_information_score: 464.5745, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6851, predictive_accuracy: 0.6855, prior_entropy: 0.9976, recall: 0.6855, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 25412.1122, mean_absolute_error: 0.3838, 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: 0.7701, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7145, kappa: 0.4267, kb_relative_information_score: 20592.2554, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7148, predictive_accuracy: 0.7151, prior_entropy: 0.9976, recall: 0.7151, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7195, kappa: 0.4368, kb_relative_information_score: 9078.2493, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7196, prior_entropy: 0.9976, recall: 0.7196, relative_absolute_error: 0.9292, 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: 0.6376, f_measure: 0.6052, kappa: 0.2081, kb_relative_information_score: 8133.064, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6069, predictive_accuracy: 0.6081, prior_entropy: 0.9976, recall: 0.6081, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4825, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6372, kappa: 0.2743, kb_relative_information_score: 11500.0899, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6432, predictive_accuracy: 0.6421, prior_entropy: 0.9976, recall: 0.6421, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 26468.5542, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7113, kappa: 0.4204, kb_relative_information_score: 1649.9934, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7112, predictive_accuracy: 0.7115, prior_entropy: 0.9976, recall: 0.7115, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4729, f_measure: 0.445, kappa: -0.0055, kb_relative_information_score: -285.2511, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4964, predictive_accuracy: 0.5179, prior_entropy: 0.9976, recall: 0.5179, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6911, kappa: 0.3796, kb_relative_information_score: 136.0248, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6912, predictive_accuracy: 0.6916, prior_entropy: 0.9976, recall: 0.6916, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7194, kappa: 0.4368, kb_relative_information_score: 27698.5706, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7193, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7211, kappa: 0.4401, kb_relative_information_score: 24950.2182, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6666, kappa: 0.331, kb_relative_information_score: 17230.8787, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6689, predictive_accuracy: 0.6688, prior_entropy: 0.9976, recall: 0.6688, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6628, kappa: 0.3243, kb_relative_information_score: 15883.2542, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6671, predictive_accuracy: 0.6662, prior_entropy: 0.9976, recall: 0.6662, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7194, kappa: 0.4369, kb_relative_information_score: 26761.2518, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7546, 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: 0.786, f_measure: 0.7146, kappa: 0.427, kb_relative_information_score: 9235.3433, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7145, predictive_accuracy: 0.7148, prior_entropy: 0.9976, recall: 0.7148, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7198, kappa: 0.4375, kb_relative_information_score: 25035.8788, mean_absolute_error: 0.3858, 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: 0.7741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8599,

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