Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 125298 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 16.0457, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7469, kappa: 0.4334, kb_relative_information_score: 229.9564, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7473, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.6095, kappa: 0.1515, kb_relative_information_score: 73.9653, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6149, predictive_accuracy: 0.6055, prior_entropy: 0.9335, recall: 0.6055, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -17.7872, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.9976, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.6039, kappa: 0.1685, kb_relative_information_score: 55.6486, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6262, predictive_accuracy: 0.5951, prior_entropy: 0.9335, recall: 0.5951, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6364, root_relative_squared_error: 1.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 41.119, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7398, kappa: 0.4154, kb_relative_information_score: 216.2324, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7428, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -0.9889, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, kb_relative_information_score: 45.3952, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -0.8789, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.0379, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6024, kappa: 0.145, kb_relative_information_score: 93.8297, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7329, predictive_accuracy: 0.6875, prior_entropy: 0.9335, recall: 0.6875, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.73, kappa: 0.4024, kb_relative_information_score: 200.121, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7288, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 0.714, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 2.6198, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -24.5581, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.7248, kappa: 0.4043, kb_relative_information_score: 244.6613, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.731, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5501, f_measure: 0.5915, kappa: 0.0991, kb_relative_information_score: 51.0694, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5907, predictive_accuracy: 0.5924, prior_entropy: 0.9335, recall: 0.5924, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 4.9945, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.3509, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3702, kappa: 0.0046, kb_relative_information_score: -267.1833, mean_absolute_error: 0.5885, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5507, predictive_accuracy: 0.4115, prior_entropy: 0.9335, recall: 0.4115, relative_absolute_error: 1.2949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7672, root_relative_squared_error: 1.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.2979, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -25.9187, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0174, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 5.8644, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.5081, kappa: 0.0195, kb_relative_information_score: -116.0705, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5559, predictive_accuracy: 0.4974, prior_entropy: 0.9335, recall: 0.4974, relative_absolute_error: 1.1059, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7459, kappa: 0.4357, kb_relative_information_score: 208.4531, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 10.775, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -1.671, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 10.4378, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -65.7099, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 179.5571, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7494, kappa: 0.4399, kb_relative_information_score: 235.21, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.749, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -123.2773, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -1.8272, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 40.3421, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.731, kappa: 0.3943, kb_relative_information_score: 220.4748, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7377, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7374, kappa: 0.4161, kb_relative_information_score: 235.2193, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7359, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 19.2058, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -66.2472, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0471, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 0.3245, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -7.8089, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.723, kappa: 0.3824, kb_relative_information_score: 218.2534, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7212, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6833, kappa: 0.3187, kb_relative_information_score: 194.8679, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6927, predictive_accuracy: 0.6784, prior_entropy: 0.9335, recall: 0.6784, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -42.5686, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0293, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 14.2734, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7409, kappa: 0.4234, kb_relative_information_score: 238.0828, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7395, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -5.1886, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.5792, kappa: 0.1016, kb_relative_information_score: 75.4885, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7032, predictive_accuracy: 0.6745, prior_entropy: 0.9335, recall: 0.6745, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7149, kappa: 0.3576, kb_relative_information_score: 173.2326, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7276, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -3.2741, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 3.488, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -25.3703, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -70.8446, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0508, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5498, kappa: 0.0825, kb_relative_information_score: -46.4062, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5873, predictive_accuracy: 0.5391, prior_entropy: 0.9335, recall: 0.5391, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 29.3563, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 3.2262, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7236, kappa: 0.3816, kb_relative_information_score: 197.1008, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7225, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.6886, kappa: 0.3011, kb_relative_information_score: 117.4558, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6873, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.8578, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 1.8763, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.6603, kappa: 0.2405, kb_relative_information_score: 158.2543, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6956, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7327, kappa: 0.4046, kb_relative_information_score: 228.242, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7311, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -6.0654, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7198, kappa: 0.3723, kb_relative_information_score: 247.3055, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7192, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 13.7451, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 48.7971, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3702, kappa: 0.0046, kb_relative_information_score: -267.1833, mean_absolute_error: 0.5885, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5507, predictive_accuracy: 0.4115, prior_entropy: 0.9335, recall: 0.4115, relative_absolute_error: 1.2949, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7672, root_relative_squared_error: 1.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6871, kappa: 0.3135, kb_relative_information_score: 212.1177, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6881, predictive_accuracy: 0.6862, prior_entropy: 0.9335, recall: 0.6862, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7514, kappa: 0.4484, kb_relative_information_score: 229.9594, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7074, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -7.3361, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -28.7721, mean_absolute_error: 0.4633, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0194, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -4.3746, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, kb_relative_information_score: 39.3238, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4672, kappa: -0.092, kb_relative_information_score: -191.6269, mean_absolute_error: 0.5456, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4997, predictive_accuracy: 0.4544, prior_entropy: 0.9335, recall: 0.4544, relative_absolute_error: 1.2004, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7386, root_relative_squared_error: 1.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -3.2317, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -6.1004, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7322, kappa: 0.3965, kb_relative_information_score: 193.7809, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7464, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -16.8814, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.753, kappa: 0.4503, kb_relative_information_score: 247.4717, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7517, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7568, kappa: 0.4558, kb_relative_information_score: 245.3551, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7571, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 6.9275, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.5525, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 20.0778, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5713, f_measure: 0.5571, kappa: 0.1259, kb_relative_information_score: -26.7766, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6138, predictive_accuracy: 0.5482, prior_entropy: 0.9335, recall: 0.5482, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6722, root_relative_squared_error: 1.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 10.5813, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 233.202, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 70.2316, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.687, kappa: 0.3005, kb_relative_information_score: 217.7614, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6845, predictive_accuracy: 0.694, prior_entropy: 0.9335, recall: 0.694, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.6015, kappa: 0.1156, kb_relative_information_score: 73.9653, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5984, predictive_accuracy: 0.6055, prior_entropy: 0.9335, recall: 0.6055, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -3.3626, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6865, kappa: 0.3035, kb_relative_information_score: 58.6856, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6842, predictive_accuracy: 0.6901, prior_entropy: 0.9335, recall: 0.6901, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.7079, kappa: 0.3591, kb_relative_information_score: 191.5295, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7089, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -7.4575, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -11.1163, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0073, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.7239, kappa: 0.3895, kb_relative_information_score: 235.9997, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7228, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 133.3756, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5725, root_relative_squared_error: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7343, kappa: 0.4181, kb_relative_information_score: 180.4083, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7358, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 3.5227, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,

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

OpenML bootcamp

From your own software

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

OpenML APIs