Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59787 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59787 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6684, kappa: 0.3369, kb_relative_information_score: 0.2634, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.5, weighted_recall: 0.6685, number_of_instances: 2600, precision: 0.6686, predictive_accuracy: 0.6685, prior_entropy: 1, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9415, unweighted_recall: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6831, kappa: 0.3662, kb_relative_information_score: 0.2526, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.5, weighted_recall: 0.6831, number_of_instances: 2600, precision: 0.6831, predictive_accuracy: 0.6831, prior_entropy: 1, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9247, unweighted_recall: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.695, kappa: 0.39, kb_relative_information_score: 0.2814, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.5, weighted_recall: 0.695, number_of_instances: 2600, precision: 0.695, predictive_accuracy: 0.695, prior_entropy: 1, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8917, unweighted_recall: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.713, kappa: 0.4269, kb_relative_information_score: 0.192, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.5, weighted_recall: 0.7135, number_of_instances: 2600, precision: 0.7148, predictive_accuracy: 0.7135, prior_entropy: 1, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, unweighted_recall: 0.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7076, kappa: 0.4154, kb_relative_information_score: 0.2094, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, weighted_recall: 0.7077, number_of_instances: 2600, precision: 0.7079, predictive_accuracy: 0.7077, prior_entropy: 1, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8793, unweighted_recall: 0.7077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6719, kappa: 0.3438, kb_relative_information_score: 0.2757, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.5, weighted_recall: 0.6719, number_of_instances: 2600, precision: 0.6719, predictive_accuracy: 0.6719, prior_entropy: 1, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9564, unweighted_recall: 0.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7004, kappa: 0.4008, kb_relative_information_score: 0.2343, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.5, weighted_recall: 0.7004, number_of_instances: 2600, precision: 0.7004, predictive_accuracy: 0.7004, prior_entropy: 1, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, unweighted_recall: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.6958, kappa: 0.3915, kb_relative_information_score: 0.2676, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.5, weighted_recall: 0.6958, number_of_instances: 2600, precision: 0.6958, predictive_accuracy: 0.6958, prior_entropy: 1, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.445, root_relative_squared_error: 0.89, unweighted_recall: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7136, kappa: 0.4277, kb_relative_information_score: 0.198, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.5, weighted_recall: 0.7138, number_of_instances: 2600, precision: 0.7147, predictive_accuracy: 0.7138, prior_entropy: 1, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8788, unweighted_recall: 0.7138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7215, kappa: 0.4431, kb_relative_information_score: 0.2586, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.5, weighted_recall: 0.7215, number_of_instances: 2600, precision: 0.7218, predictive_accuracy: 0.7215, prior_entropy: 1, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8639, unweighted_recall: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6608, kappa: 0.3215, kb_relative_information_score: 0.2445, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, weighted_recall: 0.6608, number_of_instances: 2600, precision: 0.6608, predictive_accuracy: 0.6608, prior_entropy: 1, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9394, unweighted_recall: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7096, kappa: 0.4192, kb_relative_information_score: 0.2782, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.5, weighted_recall: 0.7096, number_of_instances: 2600, precision: 0.7097, predictive_accuracy: 0.7096, prior_entropy: 1, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, unweighted_recall: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.7107, kappa: 0.4215, kb_relative_information_score: 0.2342, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, weighted_recall: 0.7108, number_of_instances: 2600, precision: 0.7108, predictive_accuracy: 0.7108, prior_entropy: 1, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8745, unweighted_recall: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7253, kappa: 0.4508, kb_relative_information_score: 0.2303, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.5, weighted_recall: 0.7254, number_of_instances: 2600, precision: 0.7256, predictive_accuracy: 0.7254, prior_entropy: 1, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8634, unweighted_recall: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7173, kappa: 0.4346, kb_relative_information_score: 0.2376, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, weighted_recall: 0.7173, number_of_instances: 2600, precision: 0.7175, predictive_accuracy: 0.7173, prior_entropy: 1, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8708, unweighted_recall: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7126, kappa: 0.4254, kb_relative_information_score: 0.2814, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.5, weighted_recall: 0.7127, number_of_instances: 2600, precision: 0.7128, predictive_accuracy: 0.7127, prior_entropy: 1, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8781, unweighted_recall: 0.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.735, kappa: 0.4708, kb_relative_information_score: 0.2173, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.5, weighted_recall: 0.7354, number_of_instances: 2600, precision: 0.7367, predictive_accuracy: 0.7354, prior_entropy: 1, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8667, unweighted_recall: 0.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7169, kappa: 0.4338, kb_relative_information_score: 0.2117, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.5, weighted_recall: 0.7169, number_of_instances: 2600, precision: 0.7171, predictive_accuracy: 0.7169, prior_entropy: 1, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8787, unweighted_recall: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.6835, kappa: 0.3669, kb_relative_information_score: 0.2332, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.5, weighted_recall: 0.6835, number_of_instances: 2600, precision: 0.6835, predictive_accuracy: 0.6835, prior_entropy: 1, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.446, root_relative_squared_error: 0.8919, unweighted_recall: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.7019, kappa: 0.4038, kb_relative_information_score: 0.3091, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.5, weighted_recall: 0.7019, number_of_instances: 2600, precision: 0.7019, predictive_accuracy: 0.7019, prior_entropy: 1, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.8974, unweighted_recall: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7304, kappa: 0.4608, kb_relative_information_score: 0.2683, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.5, weighted_recall: 0.7304, number_of_instances: 2600, precision: 0.7304, predictive_accuracy: 0.7304, prior_entropy: 1, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8568, unweighted_recall: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7119, kappa: 0.4238, kb_relative_information_score: 0.2772, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.5, weighted_recall: 0.7119, number_of_instances: 2600, precision: 0.7119, predictive_accuracy: 0.7119, prior_entropy: 1, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8702, unweighted_recall: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6731, kappa: 0.3462, kb_relative_information_score: 0.255, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.5, weighted_recall: 0.6731, number_of_instances: 2600, precision: 0.6731, predictive_accuracy: 0.6731, prior_entropy: 1, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9173, unweighted_recall: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.7023, kappa: 0.4046, kb_relative_information_score: 0.2688, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, weighted_recall: 0.7023, number_of_instances: 2600, precision: 0.7023, predictive_accuracy: 0.7023, prior_entropy: 1, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8845, unweighted_recall: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.6692, kappa: 0.3385, kb_relative_information_score: 0.2518, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.5, weighted_recall: 0.6692, number_of_instances: 2600, precision: 0.6693, predictive_accuracy: 0.6692, prior_entropy: 1, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9406, unweighted_recall: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.6984, kappa: 0.3969, kb_relative_information_score: 0.2806, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.5, weighted_recall: 0.6985, number_of_instances: 2600, precision: 0.6986, predictive_accuracy: 0.6985, prior_entropy: 1, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8957, unweighted_recall: 0.6985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7069, kappa: 0.4138, kb_relative_information_score: 0.2414, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.5, weighted_recall: 0.7069, number_of_instances: 2600, precision: 0.7069, predictive_accuracy: 0.7069, prior_entropy: 1, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8748, unweighted_recall: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.6681, kappa: 0.3362, kb_relative_information_score: 0.2966, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.5, weighted_recall: 0.6681, number_of_instances: 2600, precision: 0.6681, predictive_accuracy: 0.6681, prior_entropy: 1, relative_absolute_error: 0.7154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9556, unweighted_recall: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.6969, kappa: 0.3938, kb_relative_information_score: 0.2451, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.5, weighted_recall: 0.6969, number_of_instances: 2600, precision: 0.6969, predictive_accuracy: 0.6969, prior_entropy: 1, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8839, unweighted_recall: 0.6969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6819, kappa: 0.3638, kb_relative_information_score: 0.2503, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.5, weighted_recall: 0.6819, number_of_instances: 2600, precision: 0.6821, predictive_accuracy: 0.6819, prior_entropy: 1, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9089, unweighted_recall: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.6975, kappa: 0.3954, kb_relative_information_score: 0.2365, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.5, weighted_recall: 0.6977, number_of_instances: 2600, precision: 0.6981, predictive_accuracy: 0.6977, prior_entropy: 1, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8825, unweighted_recall: 0.6977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7192, kappa: 0.4385, kb_relative_information_score: 0.2911, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.5, weighted_recall: 0.7192, number_of_instances: 2600, precision: 0.7193, predictive_accuracy: 0.7192, prior_entropy: 1, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8591, unweighted_recall: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.6926, kappa: 0.3854, kb_relative_information_score: 0.2286, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.5, weighted_recall: 0.6927, number_of_instances: 2600, precision: 0.6928, predictive_accuracy: 0.6927, prior_entropy: 1, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8923, unweighted_recall: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.6815, kappa: 0.3631, kb_relative_information_score: 0.2267, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.5, weighted_recall: 0.6815, number_of_instances: 2600, precision: 0.6817, predictive_accuracy: 0.6815, prior_entropy: 1, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8894, unweighted_recall: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.724, kappa: 0.4485, kb_relative_information_score: 0.2, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.5, weighted_recall: 0.7242, number_of_instances: 2600, precision: 0.7249, predictive_accuracy: 0.7242, prior_entropy: 1, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8775, unweighted_recall: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7085, kappa: 0.4169, kb_relative_information_score: 0.2717, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.5, weighted_recall: 0.7085, number_of_instances: 2600, precision: 0.7085, predictive_accuracy: 0.7085, prior_entropy: 1, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8728, unweighted_recall: 0.7085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7026, kappa: 0.4054, kb_relative_information_score: 0.2512, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.5, weighted_recall: 0.7027, number_of_instances: 2600, precision: 0.703, predictive_accuracy: 0.7027, prior_entropy: 1, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8786, unweighted_recall: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7155, kappa: 0.4315, kb_relative_information_score: 0.2136, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.5, weighted_recall: 0.7158, number_of_instances: 2600, precision: 0.7167, predictive_accuracy: 0.7158, prior_entropy: 1, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8742, unweighted_recall: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.6873, kappa: 0.3746, kb_relative_information_score: 0.2588, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.5, weighted_recall: 0.6873, number_of_instances: 2600, precision: 0.6873, predictive_accuracy: 0.6873, prior_entropy: 1, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9171, unweighted_recall: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.6758, kappa: 0.3515, kb_relative_information_score: 0.2657, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, weighted_recall: 0.6758, number_of_instances: 2600, precision: 0.6758, predictive_accuracy: 0.6758, prior_entropy: 1, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9354, unweighted_recall: 0.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6657, kappa: 0.3315, kb_relative_information_score: 0.2448, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.5, weighted_recall: 0.6658, number_of_instances: 2600, precision: 0.6659, predictive_accuracy: 0.6658, prior_entropy: 1, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9429, unweighted_recall: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.6835, kappa: 0.3669, kb_relative_information_score: 0.2807, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, weighted_recall: 0.6835, number_of_instances: 2600, precision: 0.6835, predictive_accuracy: 0.6835, prior_entropy: 1, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9274, unweighted_recall: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.685, kappa: 0.37, kb_relative_information_score: 0.2198, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.5, weighted_recall: 0.685, number_of_instances: 2600, precision: 0.685, predictive_accuracy: 0.685, prior_entropy: 1, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9032, unweighted_recall: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7214, kappa: 0.4431, kb_relative_information_score: 0.2649, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.5, weighted_recall: 0.7215, number_of_instances: 2600, precision: 0.722, predictive_accuracy: 0.7215, prior_entropy: 1, relative_absolute_error: 0.7645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8677, unweighted_recall: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7172, kappa: 0.4346, kb_relative_information_score: 0.2457, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.5, weighted_recall: 0.7173, number_of_instances: 2600, precision: 0.7176, predictive_accuracy: 0.7173, prior_entropy: 1, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.432, root_relative_squared_error: 0.864, unweighted_recall: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6884, kappa: 0.3769, kb_relative_information_score: 0.2916, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.5, weighted_recall: 0.6885, number_of_instances: 2600, precision: 0.6885, predictive_accuracy: 0.6885, prior_entropy: 1, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9193, unweighted_recall: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.711, kappa: 0.4223, kb_relative_information_score: 0.2085, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.5, weighted_recall: 0.7112, number_of_instances: 2600, precision: 0.7116, predictive_accuracy: 0.7112, prior_entropy: 1, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8783, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7168, kappa: 0.4338, kb_relative_information_score: 0.2868, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.5, weighted_recall: 0.7169, number_of_instances: 2600, precision: 0.7173, predictive_accuracy: 0.7169, prior_entropy: 1, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8622, unweighted_recall: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6753, kappa: 0.3508, kb_relative_information_score: 0.2729, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.5, weighted_recall: 0.6754, number_of_instances: 2600, precision: 0.6755, predictive_accuracy: 0.6754, prior_entropy: 1, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9338, unweighted_recall: 0.6754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7433, kappa: 0.4869, kb_relative_information_score: 0.2442, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.5, weighted_recall: 0.7435, number_of_instances: 2600, precision: 0.7439, predictive_accuracy: 0.7435, prior_entropy: 1, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8513, unweighted_recall: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.6868, kappa: 0.3738, kb_relative_information_score: 0.2426, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.5, weighted_recall: 0.6869, number_of_instances: 2600, precision: 0.6872, predictive_accuracy: 0.6869, prior_entropy: 1, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8952, unweighted_recall: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7335, kappa: 0.4677, kb_relative_information_score: 0.2416, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.5, weighted_recall: 0.7338, number_of_instances: 2600, precision: 0.735, predictive_accuracy: 0.7338, prior_entropy: 1, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8562, unweighted_recall: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 0.2923, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, weighted_recall: 0.71, number_of_instances: 2600, precision: 0.71, predictive_accuracy: 0.71, prior_entropy: 1, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8747, unweighted_recall: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7065, kappa: 0.4131, kb_relative_information_score: 0.2745, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.5, weighted_recall: 0.7065, number_of_instances: 2600, precision: 0.7066, predictive_accuracy: 0.7065, prior_entropy: 1, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8779, unweighted_recall: 0.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6842, kappa: 0.3685, kb_relative_information_score: 0.2701, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.5, weighted_recall: 0.6842, number_of_instances: 2600, precision: 0.6842, predictive_accuracy: 0.6842, prior_entropy: 1, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9057, unweighted_recall: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7413, kappa: 0.4831, kb_relative_information_score: 0.2445, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.5, weighted_recall: 0.7415, number_of_instances: 2600, precision: 0.7426, predictive_accuracy: 0.7415, prior_entropy: 1, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8534, unweighted_recall: 0.7415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7088, kappa: 0.4177, kb_relative_information_score: 0.2498, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.5, weighted_recall: 0.7088, number_of_instances: 2600, precision: 0.709, predictive_accuracy: 0.7088, prior_entropy: 1, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8704, unweighted_recall: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7015, kappa: 0.4031, kb_relative_information_score: 0.2266, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.5, weighted_recall: 0.7015, number_of_instances: 2600, precision: 0.7016, predictive_accuracy: 0.7015, prior_entropy: 1, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8832, unweighted_recall: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7045, kappa: 0.4092, kb_relative_information_score: 0.2534, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.5, weighted_recall: 0.7046, number_of_instances: 2600, precision: 0.7049, predictive_accuracy: 0.7046, prior_entropy: 1, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, unweighted_recall: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6823, kappa: 0.3646, kb_relative_information_score: 0.2619, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.5, weighted_recall: 0.6823, number_of_instances: 2600, precision: 0.6823, predictive_accuracy: 0.6823, prior_entropy: 1, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9105, unweighted_recall: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.6804, kappa: 0.3608, kb_relative_information_score: 0.2631, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.5, weighted_recall: 0.6804, number_of_instances: 2600, precision: 0.6804, predictive_accuracy: 0.6804, prior_entropy: 1, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9169, unweighted_recall: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7107, kappa: 0.4215, kb_relative_information_score: 0.2598, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.5, weighted_recall: 0.7108, number_of_instances: 2600, precision: 0.711, predictive_accuracy: 0.7108, prior_entropy: 1, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8673, unweighted_recall: 0.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6846, kappa: 0.3692, kb_relative_information_score: 0.2319, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.5, weighted_recall: 0.6846, number_of_instances: 2600, precision: 0.6846, predictive_accuracy: 0.6846, prior_entropy: 1, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9102, unweighted_recall: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 0.2897, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.5, weighted_recall: 0.705, number_of_instances: 2600, precision: 0.7053, predictive_accuracy: 0.705, prior_entropy: 1, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8792, unweighted_recall: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7142, kappa: 0.4285, kb_relative_information_score: 0.2476, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.5, weighted_recall: 0.7142, number_of_instances: 2600, precision: 0.7143, predictive_accuracy: 0.7142, prior_entropy: 1, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.867, unweighted_recall: 0.7142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7301, kappa: 0.4608, kb_relative_information_score: 0.221, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.5, weighted_recall: 0.7304, number_of_instances: 2600, precision: 0.7314, predictive_accuracy: 0.7304, prior_entropy: 1, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, unweighted_recall: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7257, kappa: 0.4523, kb_relative_information_score: 0.2131, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.5, weighted_recall: 0.7262, number_of_instances: 2600, precision: 0.7275, predictive_accuracy: 0.7262, prior_entropy: 1, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8715, unweighted_recall: 0.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.6892, kappa: 0.3785, kb_relative_information_score: 0.2287, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.5, weighted_recall: 0.6892, number_of_instances: 2600, precision: 0.6893, predictive_accuracy: 0.6892, prior_entropy: 1, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9106, unweighted_recall: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6761, kappa: 0.3523, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.5, weighted_recall: 0.6762, number_of_instances: 2600, precision: 0.6762, predictive_accuracy: 0.6762, prior_entropy: 1, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9223, unweighted_recall: 0.6762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7022, kappa: 0.4046, kb_relative_information_score: 0.2494, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.5, weighted_recall: 0.7023, number_of_instances: 2600, precision: 0.7025, predictive_accuracy: 0.7023, prior_entropy: 1, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8746, unweighted_recall: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.724, kappa: 0.4485, kb_relative_information_score: 0.2218, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.5, weighted_recall: 0.7242, number_of_instances: 2600, precision: 0.7249, predictive_accuracy: 0.7242, prior_entropy: 1, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8647, unweighted_recall: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.7045, kappa: 0.4092, kb_relative_information_score: 0.2912, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.5, weighted_recall: 0.7046, number_of_instances: 2600, precision: 0.7048, predictive_accuracy: 0.7046, prior_entropy: 1, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8969, unweighted_recall: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7152, kappa: 0.4308, kb_relative_information_score: 0.2482, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, weighted_recall: 0.7154, number_of_instances: 2600, precision: 0.716, predictive_accuracy: 0.7154, prior_entropy: 1, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8605, unweighted_recall: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6861, kappa: 0.3723, kb_relative_information_score: 0.2192, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.5, weighted_recall: 0.6862, number_of_instances: 2600, precision: 0.6863, predictive_accuracy: 0.6862, prior_entropy: 1, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8924, unweighted_recall: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.6888, kappa: 0.3777, kb_relative_information_score: 0.2891, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.5, weighted_recall: 0.6888, number_of_instances: 2600, precision: 0.6888, predictive_accuracy: 0.6888, prior_entropy: 1, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.921, unweighted_recall: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7122, kappa: 0.4246, kb_relative_information_score: 0.202, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.5, weighted_recall: 0.7123, number_of_instances: 2600, precision: 0.7127, predictive_accuracy: 0.7123, prior_entropy: 1, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8796, unweighted_recall: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7338, kappa: 0.4677, kb_relative_information_score: 0.2999, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.5, weighted_recall: 0.7338, number_of_instances: 2600, precision: 0.7341, predictive_accuracy: 0.7338, prior_entropy: 1, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8475, unweighted_recall: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6804, kappa: 0.3608, kb_relative_information_score: 0.2176, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.5, weighted_recall: 0.6804, number_of_instances: 2600, precision: 0.6804, predictive_accuracy: 0.6804, prior_entropy: 1, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8947, unweighted_recall: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.6781, kappa: 0.3562, kb_relative_information_score: 0.2388, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.5, weighted_recall: 0.6781, number_of_instances: 2600, precision: 0.6781, predictive_accuracy: 0.6781, prior_entropy: 1, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9088, unweighted_recall: 0.6781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.7023, kappa: 0.4046, kb_relative_information_score: 0.2381, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.5, weighted_recall: 0.7023, number_of_instances: 2600, precision: 0.7023, predictive_accuracy: 0.7023, prior_entropy: 1, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.442, root_relative_squared_error: 0.884, unweighted_recall: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6876, kappa: 0.3754, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.5, weighted_recall: 0.6877, number_of_instances: 2600, precision: 0.6879, predictive_accuracy: 0.6877, prior_entropy: 1, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9305, unweighted_recall: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.6923, kappa: 0.3846, kb_relative_information_score: 0.2824, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.5, weighted_recall: 0.6923, number_of_instances: 2600, precision: 0.6924, predictive_accuracy: 0.6923, prior_entropy: 1, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9041, unweighted_recall: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7204, kappa: 0.4408, kb_relative_information_score: 0.2492, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.5, weighted_recall: 0.7204, number_of_instances: 2600, precision: 0.7205, predictive_accuracy: 0.7204, prior_entropy: 1, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, unweighted_recall: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.6942, kappa: 0.3885, kb_relative_information_score: 0.3047, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.5, weighted_recall: 0.6942, number_of_instances: 2600, precision: 0.6942, predictive_accuracy: 0.6942, prior_entropy: 1, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9139, unweighted_recall: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6734, kappa: 0.3469, kb_relative_information_score: 0.2722, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.5, weighted_recall: 0.6735, number_of_instances: 2600, precision: 0.6736, predictive_accuracy: 0.6735, prior_entropy: 1, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9374, unweighted_recall: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7054, kappa: 0.4108, kb_relative_information_score: 0.3127, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.5, weighted_recall: 0.7054, number_of_instances: 2600, precision: 0.7054, predictive_accuracy: 0.7054, prior_entropy: 1, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8907, unweighted_recall: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6958, kappa: 0.3915, kb_relative_information_score: 0.2828, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.5, weighted_recall: 0.6958, number_of_instances: 2600, precision: 0.6958, predictive_accuracy: 0.6958, prior_entropy: 1, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8891, unweighted_recall: 0.6958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6908, kappa: 0.3815, kb_relative_information_score: 0.2625, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.5, weighted_recall: 0.6908, number_of_instances: 2600, precision: 0.6908, predictive_accuracy: 0.6908, prior_entropy: 1, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8933, unweighted_recall: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.708, kappa: 0.4162, kb_relative_information_score: 0.2602, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.5, weighted_recall: 0.7081, number_of_instances: 2600, precision: 0.7083, predictive_accuracy: 0.7081, prior_entropy: 1, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8725, unweighted_recall: 0.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7015, kappa: 0.4031, kb_relative_information_score: 0.2454, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.5, weighted_recall: 0.7015, number_of_instances: 2600, precision: 0.7015, predictive_accuracy: 0.7015, prior_entropy: 1, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8763, unweighted_recall: 0.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7027, kappa: 0.4054, kb_relative_information_score: 0.2343, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.5, weighted_recall: 0.7027, number_of_instances: 2600, precision: 0.7028, predictive_accuracy: 0.7027, prior_entropy: 1, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8759, unweighted_recall: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.6508, kappa: 0.3015, kb_relative_information_score: 0.2275, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.5, weighted_recall: 0.6508, number_of_instances: 2600, precision: 0.6508, predictive_accuracy: 0.6508, prior_entropy: 1, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9686, unweighted_recall: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6507, kappa: 0.3015, kb_relative_information_score: 0.2068, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.5, weighted_recall: 0.6508, number_of_instances: 2600, precision: 0.651, predictive_accuracy: 0.6508, prior_entropy: 1, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9536, unweighted_recall: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7223, kappa: 0.4446, kb_relative_information_score: 0.2977, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, weighted_recall: 0.7223, number_of_instances: 2600, precision: 0.7225, predictive_accuracy: 0.7223, prior_entropy: 1, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.881, unweighted_recall: 0.7223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.71, kappa: 0.42, kb_relative_information_score: 0.2716, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.5, weighted_recall: 0.71, number_of_instances: 2600, precision: 0.7101, predictive_accuracy: 0.71, prior_entropy: 1, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8774, unweighted_recall: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.6808, kappa: 0.3615, kb_relative_information_score: 0.2901, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.5, weighted_recall: 0.6808, number_of_instances: 2600, precision: 0.6808, predictive_accuracy: 0.6808, prior_entropy: 1, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9287, unweighted_recall: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7004, kappa: 0.4008, kb_relative_information_score: 0.252, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.5, weighted_recall: 0.7004, number_of_instances: 2600, precision: 0.7004, predictive_accuracy: 0.7004, prior_entropy: 1, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8766, unweighted_recall: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 0.2675, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.5, weighted_recall: 0.72, number_of_instances: 2600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8604, unweighted_recall: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 0.2951, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.5, weighted_recall: 0.7112, number_of_instances: 2600, precision: 0.7112, predictive_accuracy: 0.7112, prior_entropy: 1, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8706, unweighted_recall: 0.7112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6924, kappa: 0.3854, kb_relative_information_score: 0.1989, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.5, weighted_recall: 0.6927, number_of_instances: 2600, precision: 0.6934, predictive_accuracy: 0.6927, prior_entropy: 1, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8895, unweighted_recall: 0.6927,

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

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Download this task directly in your environment and automatically upload your results

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

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