Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 117652 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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117652 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6514, kappa: 0.1242, kb_relative_information_score: 35.1279, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6432, predictive_accuracy: 0.6638, prior_entropy: 0.865, recall: 0.6638, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 29.4086, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6375, kappa: 0.0814, kb_relative_information_score: 57.7304, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6776, predictive_accuracy: 0.7187, prior_entropy: 0.865, recall: 0.7187, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.6393, kappa: 0.0739, kb_relative_information_score: 15.3054, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6353, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.444, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -10.6514, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 3.2448, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.6813, kappa: 0.1842, kb_relative_information_score: 58.0938, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6772, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6527, kappa: 0.1624, kb_relative_information_score: 33.1765, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6484, prior_entropy: 0.865, recall: 0.6484, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.2202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.674, kappa: 0.1624, kb_relative_information_score: 52.7137, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6769, predictive_accuracy: 0.7153, prior_entropy: 0.865, recall: 0.7153, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 53.7031, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 0.5093, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, kb_relative_information_score: -16.4863, mean_absolute_error: 0.4141, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0122, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.667, kappa: 0.1589, kb_relative_information_score: 36.8575, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6588, predictive_accuracy: 0.6827, prior_entropy: 0.865, recall: 0.6827, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, kb_relative_information_score: 20.7301, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.678, kappa: 0.1961, kb_relative_information_score: 64.4325, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6724, predictive_accuracy: 0.6861, prior_entropy: 0.865, recall: 0.6861, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.6869, kappa: 0.2005, kb_relative_information_score: 65.0926, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6822, predictive_accuracy: 0.7118, prior_entropy: 0.865, recall: 0.7118, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 6.1741, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: -401.9115, mean_absolute_error: 0.6095, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.2864, prior_entropy: 0.865, recall: 0.2864, relative_absolute_error: 1.4898, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6526, root_relative_squared_error: 1.4434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, kb_relative_information_score: 24.7, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6353, kappa: 0.0815, kb_relative_information_score: 31.9423, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6255, predictive_accuracy: 0.6501, prior_entropy: 0.865, recall: 0.6501, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 71.1665, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 12.4709, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4536, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.6725, kappa: 0.1879, kb_relative_information_score: 45.5616, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6684, predictive_accuracy: 0.6775, prior_entropy: 0.865, recall: 0.6775, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6772, kappa: 0.1931, kb_relative_information_score: 61.9418, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6713, predictive_accuracy: 0.6861, prior_entropy: 0.865, recall: 0.6861, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 84.3762, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -60.1057, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.039, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.458, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6844, kappa: 0.2279, kb_relative_information_score: -12.5347, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6844, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6758, kappa: 0.172, kb_relative_information_score: 78.5968, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6692, predictive_accuracy: 0.7015, prior_entropy: 0.865, recall: 0.7015, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -6.8779, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -7.7653, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 4.1326, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.6726, kappa: 0.1665, kb_relative_information_score: 38.3692, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6647, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: -18.2517, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 22.555, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.543, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -50.421, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0387, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4537, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5884, kappa: 0.0025, kb_relative_information_score: -57.8214, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5922, predictive_accuracy: 0.5849, prior_entropy: 0.865, recall: 0.5849, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6443, root_relative_squared_error: 1.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 41.3029, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -48.7757, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0374, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4536, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6682, kappa: 0.1827, kb_relative_information_score: 51.9417, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.666, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5884, kappa: 0.0025, kb_relative_information_score: -223.5862, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5922, predictive_accuracy: 0.5849, prior_entropy: 0.865, recall: 0.5849, relative_absolute_error: 1.2152, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.6636, kappa: 0.1363, kb_relative_information_score: 59.929, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6726, predictive_accuracy: 0.7153, prior_entropy: 0.865, recall: 0.7153, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 5.7403, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 6.3173, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: -2.6123, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6978, kappa: 0.2348, kb_relative_information_score: 52.7944, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6919, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.432, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.56, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -37.0523, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.6964, kappa: 0.2318, kb_relative_information_score: 60.511, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6903, predictive_accuracy: 0.7118, prior_entropy: 0.865, recall: 0.7118, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -3.7084, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 38.2024, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6458, kappa: 0.0911, kb_relative_information_score: 34.8433, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6362, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6633, kappa: 0.1613, kb_relative_information_score: 52.5069, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.6249, kappa: 0.1044, kb_relative_information_score: 3.4458, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6343, predictive_accuracy: 0.6175, prior_entropy: 0.865, recall: 0.6175, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.2793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: -54.8611, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0423, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.454, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: -25.5341, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6276, kappa: 0.0658, kb_relative_information_score: 86.2455, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7073, predictive_accuracy: 0.7221, prior_entropy: 0.865, recall: 0.7221, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -22.8063, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6707, kappa: 0.1594, kb_relative_information_score: 62.1884, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6632, predictive_accuracy: 0.6964, prior_entropy: 0.865, recall: 0.6964, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6014, kappa: 0.0136, kb_relative_information_score: 67.2883, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7015, predictive_accuracy: 0.7153, prior_entropy: 0.865, recall: 0.7153, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 7.0375, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6832, kappa: 0.1947, kb_relative_information_score: 38.2677, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6764, predictive_accuracy: 0.7033, prior_entropy: 0.865, recall: 0.7033, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 4.007, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6513, kappa: 0.1197, kb_relative_information_score: 28.6706, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.642, predictive_accuracy: 0.6672, prior_entropy: 0.865, recall: 0.6672, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 13.1487, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 8.4344, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4523, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: -22.92, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 5.2017, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5939, kappa: 0.0581, kb_relative_information_score: -65.2205, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6159, predictive_accuracy: 0.5798, prior_entropy: 0.865, recall: 0.5798, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.6358, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -15.0632, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: 17.2808, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4531, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 4.0308, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.6481, kappa: 0.1274, kb_relative_information_score: 41.5315, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6435, predictive_accuracy: 0.6535, prior_entropy: 0.865, recall: 0.6535, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 0.5357, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, kb_relative_information_score: -3.8285, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6786, kappa: 0.2082, kb_relative_information_score: 44.8599, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6764, predictive_accuracy: 0.681, prior_entropy: 0.865, recall: 0.681, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.6805, kappa: 0.1848, kb_relative_information_score: 71.3129, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6744, predictive_accuracy: 0.705, prior_entropy: 0.865, recall: 0.705, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6397, kappa: 0.0773, kb_relative_information_score: 68.0782, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6441, predictive_accuracy: 0.7033, prior_entropy: 0.865, recall: 0.7033, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.667, kappa: 0.1499, kb_relative_information_score: 48.5469, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6589, predictive_accuracy: 0.693, prior_entropy: 0.865, recall: 0.693, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: -22.5775, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0169, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 1.8497, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: -0.8082, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -22.3057, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4525, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: -58.5303, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0454, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4543, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 10.6238, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4526, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.8986, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6626, kappa: 0.1717, kb_relative_information_score: 61.9855, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6614, predictive_accuracy: 0.6638, prior_entropy: 0.865, recall: 0.6638, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4746, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, kb_relative_information_score: -82.341, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0659, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6769, kappa: 0.1794, kb_relative_information_score: 8.1356, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6692, predictive_accuracy: 0.6964, prior_entropy: 0.865, recall: 0.6964, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -73.1, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.0532, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 9.6955, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 1.4719, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4522, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, kb_relative_information_score: 3.2097, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, kb_relative_information_score: 14.5069, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6467, kappa: 0.1356, kb_relative_information_score: 29.0522, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6467, predictive_accuracy: 0.6467, prior_entropy: 0.865, recall: 0.6467, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.1471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, kb_relative_information_score: 20.2697, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 27.4033, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -27.9506, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: -29.2177, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4091, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.865, recall: 0.7136, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5884, kappa: 0.0025, kb_relative_information_score: -298.7983, mean_absolute_error: 0.5553, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5922, predictive_accuracy: 0.5849, prior_entropy: 0.865, recall: 0.5849, relative_absolute_error: 1.3574, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.618, root_relative_squared_error: 1.367,

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