OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

19049 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7666, kappa: 0.5295, kb_relative_information_score: 1982.8302, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7665, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6221, kappa: 0.2386, kb_relative_information_score: 887.5882, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.622, predictive_accuracy: 0.6222, prior_entropy: 0.9948, recall: 0.6222, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6146, root_relative_squared_error: 1.2337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 285.4072, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7812, kappa: 0.5584, kb_relative_information_score: 2102.054, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7831, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5024, kappa: 0.1264, kb_relative_information_score: 677.4311, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.697, predictive_accuracy: 0.5945, prior_entropy: 0.9948, recall: 0.5945, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.6535, kappa: 0.3021, kb_relative_information_score: 1124.015, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6536, predictive_accuracy: 0.6534, prior_entropy: 0.9948, recall: 0.6534, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7267, kappa: 0.4506, kb_relative_information_score: 1720.1338, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5595, kappa: 0.1126, kb_relative_information_score: 412.7139, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5595, predictive_accuracy: 0.5596, prior_entropy: 0.9948, recall: 0.5596, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6636, root_relative_squared_error: 1.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7614, kappa: 0.52, kb_relative_information_score: 1940.3946, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7619, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.523, kappa: 0.039, kb_relative_information_score: 135.8723, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5229, predictive_accuracy: 0.5231, prior_entropy: 0.9948, recall: 0.5231, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6906, root_relative_squared_error: 1.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5243, kappa: 0.0414, kb_relative_information_score: 145.976, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5241, predictive_accuracy: 0.5244, prior_entropy: 0.9948, recall: 0.5244, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6896, root_relative_squared_error: 1.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.7405, kappa: 0.4773, kb_relative_information_score: 1784.7975, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7405, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5641, f_measure: 0.5685, kappa: 0.1297, kb_relative_information_score: 513.751, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5692, predictive_accuracy: 0.5729, prior_entropy: 0.9948, recall: 0.5729, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7649, kappa: 0.5258, kb_relative_information_score: 1972.7265, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.744, kappa: 0.4841, kb_relative_information_score: 1811.0672, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7439, predictive_accuracy: 0.7441, prior_entropy: 0.9948, recall: 0.7441, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.6881, kappa: 0.3714, kb_relative_information_score: 1388.7321, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.688, predictive_accuracy: 0.6883, prior_entropy: 0.9948, recall: 0.6883, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5583, root_relative_squared_error: 1.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7353, kappa: 0.4663, kb_relative_information_score: 1746.4034, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7352, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5486, kappa: 0.0892, kb_relative_information_score: 339.9672, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.548, predictive_accuracy: 0.55, prior_entropy: 0.9948, recall: 0.55, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5136, kappa: 0.1403, kb_relative_information_score: 721.8874, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6004, prior_entropy: 0.9948, recall: 0.6004, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 1748.4242, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7493, kappa: 0.4943, kb_relative_information_score: 1853.5028, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7492, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 1861.5857, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.4952, kappa: 0.1152, kb_relative_information_score: 639.037, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.5894, prior_entropy: 0.9948, recall: 0.5894, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6407, root_relative_squared_error: 1.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.5945, kappa: 0.2412, kb_relative_information_score: 1041.1646, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.6425, prior_entropy: 0.9948, recall: 0.6425, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.5278, kappa: 0.0489, kb_relative_information_score: 172.2456, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5278, predictive_accuracy: 0.5279, prior_entropy: 0.9948, recall: 0.5279, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 1815.1087, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.7775, kappa: 0.5513, kb_relative_information_score: 2067.7014, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5054, f_measure: 0.3934, kappa: 0.0117, kb_relative_information_score: 317.739, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.696, predictive_accuracy: 0.5471, prior_entropy: 0.9948, recall: 0.5471, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3812, kappa: -0.0005, kb_relative_information_score: 279.3449, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.542, prior_entropy: 0.9948, recall: 0.542, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.5335, kappa: 0.06, kb_relative_information_score: 216.7019, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5334, predictive_accuracy: 0.5337, prior_entropy: 0.9948, recall: 0.5337, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6828, root_relative_squared_error: 1.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.7333, kappa: 0.4622, kb_relative_information_score: 1732.2582, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7332, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7784, kappa: 0.5529, kb_relative_information_score: 2075.7843, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7788, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7637, kappa: 0.5245, kb_relative_information_score: 1958.5813, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7641, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.732, kappa: 0.4596, kb_relative_information_score: 1722.1545, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7319, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.0384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5983, kappa: 0.2548, kb_relative_information_score: 1095.7246, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7295, predictive_accuracy: 0.6497, prior_entropy: 0.9948, recall: 0.6497, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5919, root_relative_squared_error: 1.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7775, kappa: 0.5512, kb_relative_information_score: 2067.7014, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.7721, kappa: 0.5401, kb_relative_information_score: 2029.3073, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7727, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6934, kappa: 0.3825, kb_relative_information_score: 1427.1262, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6934, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.5145, kappa: 0.022, kb_relative_information_score: 71.2085, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5145, predictive_accuracy: 0.5145, prior_entropy: 0.9948, recall: 0.5145, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5109, f_measure: 0.5143, kappa: 0.0217, kb_relative_information_score: 69.1878, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5144, predictive_accuracy: 0.5143, prior_entropy: 0.9948, recall: 0.5143, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7564, kappa: 0.5089, kb_relative_information_score: 1906.042, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7563, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7358, kappa: 0.4674, kb_relative_information_score: 1750.4449, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.4383, kappa: 0.0574, kb_relative_information_score: 461.2117, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7015, predictive_accuracy: 0.566, prior_entropy: 0.9948, recall: 0.566, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6588, root_relative_squared_error: 1.3223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4311, f_measure: 0.4351, kappa: -0.1378, kb_relative_information_score: -530.9725, mean_absolute_error: 0.5649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.4352, predictive_accuracy: 0.4351, prior_entropy: 0.9948, recall: 0.4351, relative_absolute_error: 1.138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7516, root_relative_squared_error: 1.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 1748.4242, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7296, kappa: 0.4548, kb_relative_information_score: 1703.9679, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7295, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7826, kappa: 0.5612, kb_relative_information_score: 2110.137, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7837, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.639, kappa: 0.2732, kb_relative_information_score: 1012.8742, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6392, predictive_accuracy: 0.6388, prior_entropy: 0.9948, recall: 0.6388, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.601, root_relative_squared_error: 1.2064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5834, f_measure: 0.5517, kappa: 0.1766, kb_relative_information_score: 824.9452, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6736, predictive_accuracy: 0.614, prior_entropy: 0.9948, recall: 0.614, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5195, kappa: 0.032, kb_relative_information_score: 109.6026, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5195, predictive_accuracy: 0.5196, prior_entropy: 0.9948, recall: 0.5196, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6931, root_relative_squared_error: 1.3912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7242, kappa: 0.4475, kb_relative_information_score: 1716.0923, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7315, prior_entropy: 0.9948, recall: 0.7315, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.7304, kappa: 0.4567, kb_relative_information_score: 1708.0093, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7303, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.5234, kappa: 0.0398, kb_relative_information_score: 139.9137, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5233, predictive_accuracy: 0.5236, prior_entropy: 0.9948, recall: 0.5236, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6902, root_relative_squared_error: 1.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7322, kappa: 0.4601, kb_relative_information_score: 1724.1753, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7322, predictive_accuracy: 0.7326, prior_entropy: 0.9948, recall: 0.7326, relative_absolute_error: 0.5386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5221, f_measure: 0.5255, kappa: 0.0442, kb_relative_information_score: 154.0589, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5255, predictive_accuracy: 0.5255, prior_entropy: 0.9948, recall: 0.5255, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6889, root_relative_squared_error: 1.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7504, kappa: 0.4963, kb_relative_information_score: 1869.6687, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7353, kappa: 0.4663, kb_relative_information_score: 1746.4034, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7352, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.7455, kappa: 0.4864, kb_relative_information_score: 1835.3161, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3818, kappa: 0.0001, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5229, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.3867, kappa: 0.0057, kb_relative_information_score: 299.5523, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.7355, kappa: 0.4668, kb_relative_information_score: 1748.4242, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7354, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.4637, kappa: 0.0834, kb_relative_information_score: 542.0414, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6952, predictive_accuracy: 0.5766, prior_entropy: 0.9948, recall: 0.5766, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7585, kappa: 0.5127, kb_relative_information_score: 1926.2495, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.759, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.5863, kappa: 0.238, kb_relative_information_score: 1041.1646, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.6425, prior_entropy: 0.9948, recall: 0.6425, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7839, kappa: 0.5651, kb_relative_information_score: 2112.1577, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7406, kappa: 0.4771, kb_relative_information_score: 1786.8183, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7405, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6311, kappa: 0.2572, kb_relative_information_score: 954.2727, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6313, predictive_accuracy: 0.631, prior_entropy: 0.9948, recall: 0.631, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6074, root_relative_squared_error: 1.2192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 301.5731, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 287.4279, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7454, kappa: 0.4871, kb_relative_information_score: 1821.1709, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7454, predictive_accuracy: 0.7454, prior_entropy: 0.9948, recall: 0.7454, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5505, kappa: 0.0936, kb_relative_information_score: 350.0709, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5501, predictive_accuracy: 0.5513, prior_entropy: 0.9948, recall: 0.5513, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7857, kappa: 0.5676, kb_relative_information_score: 2132.3651, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7864, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7579, kappa: 0.5115, kb_relative_information_score: 1922.208, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.5263, kappa: 0.045, kb_relative_information_score: 164.1626, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5259, predictive_accuracy: 0.5268, prior_entropy: 0.9948, recall: 0.5268, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6879, root_relative_squared_error: 1.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3877, kappa: 0.0064, kb_relative_information_score: 301.5731, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7144, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7033, kappa: 0.4017, kb_relative_information_score: 1526.1426, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.707, predictive_accuracy: 0.7065, prior_entropy: 0.9948, recall: 0.7065, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5418, root_relative_squared_error: 1.0874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.4093, kappa: 0.0237, kb_relative_information_score: 352.0916, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.642, predictive_accuracy: 0.5516, prior_entropy: 0.9948, recall: 0.5516, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7415, kappa: 0.4788, kb_relative_information_score: 1792.8805, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7414, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.3979, kappa: 0.0162, kb_relative_information_score: 331.8842, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6983, predictive_accuracy: 0.5489, prior_entropy: 0.9948, recall: 0.5489, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6716, root_relative_squared_error: 1.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6569, kappa: 0.3315, kb_relative_information_score: 1330.1306, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7128, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5651, root_relative_squared_error: 1.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7414, kappa: 0.4789, kb_relative_information_score: 1790.8598, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7413, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 285.4072, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.5462, kappa: 0.0866, kb_relative_information_score: 309.6561, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5466, predictive_accuracy: 0.546, prior_entropy: 0.9948, recall: 0.546, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6738, root_relative_squared_error: 1.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5292, kappa: 0.0511, kb_relative_information_score: 184.3701, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5289, predictive_accuracy: 0.5295, prior_entropy: 0.9948, recall: 0.5295, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.686, root_relative_squared_error: 1.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.4611, kappa: 0.0813, kb_relative_information_score: 535.9791, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6993, predictive_accuracy: 0.5758, prior_entropy: 0.9948, recall: 0.5758, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6513, root_relative_squared_error: 1.3072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3812, kappa: -0.0005, kb_relative_information_score: 279.3449, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.542, prior_entropy: 0.9948, recall: 0.542, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 287.4279, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.543, kappa: 0.0784, kb_relative_information_score: 293.4901, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5426, predictive_accuracy: 0.5439, prior_entropy: 0.9948, recall: 0.5439, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6754, root_relative_squared_error: 1.3556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7435, kappa: 0.4832, kb_relative_information_score: 1807.0257, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7434, predictive_accuracy: 0.7435, prior_entropy: 0.9948, recall: 0.7435, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0165,

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