OpenML
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 20099 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
Issue #Downvotes for this reason By


Metric:

20099 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: 0.7564, f_measure: 0.6236, kappa: 0.5147, kb_relative_information_score: 0.5425, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6323, predictive_accuracy: 0.6355, prior_entropy: 2.1934, recall: 0.6355, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.6247, kappa: 0.5151, kb_relative_information_score: 0.5439, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6314, predictive_accuracy: 0.6352, prior_entropy: 2.1934, recall: 0.6352, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.6262, kappa: 0.5173, kb_relative_information_score: 0.5445, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6335, predictive_accuracy: 0.6374, prior_entropy: 2.1934, recall: 0.6374, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5258, kappa: 0.4029, kb_relative_information_score: 0.4391, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5473, predictive_accuracy: 0.5543, prior_entropy: 2.1934, recall: 0.5543, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.6176, kappa: 0.5065, kb_relative_information_score: 0.5346, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.625, predictive_accuracy: 0.6296, prior_entropy: 2.1934, recall: 0.6296, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.5275, kappa: 0.4032, kb_relative_information_score: 0.4399, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5461, predictive_accuracy: 0.5539, prior_entropy: 2.1934, recall: 0.5539, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.6143, kappa: 0.5036, kb_relative_information_score: 0.5313, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6228, predictive_accuracy: 0.6276, prior_entropy: 2.1934, recall: 0.6276, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.386, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.6211, kappa: 0.511, kb_relative_information_score: 0.5393, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6308, predictive_accuracy: 0.6332, prior_entropy: 2.1934, recall: 0.6332, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.5213, kappa: 0.3977, kb_relative_information_score: 0.4343, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5423, predictive_accuracy: 0.5516, prior_entropy: 2.1934, recall: 0.5516, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.5267, kappa: 0.4027, kb_relative_information_score: 0.4394, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5492, predictive_accuracy: 0.5554, prior_entropy: 2.1934, recall: 0.5554, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.0773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5264, kappa: 0.4037, kb_relative_information_score: 0.4396, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5483, predictive_accuracy: 0.5564, prior_entropy: 2.1934, recall: 0.5564, relative_absolute_error: 0.579, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4213, root_relative_squared_error: 1.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.5239, kappa: 0.3992, kb_relative_information_score: 0.4358, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5421, predictive_accuracy: 0.5515, prior_entropy: 2.1934, recall: 0.5515, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.623, kappa: 0.513, kb_relative_information_score: 0.5413, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6297, predictive_accuracy: 0.6338, prior_entropy: 2.1934, recall: 0.6338, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.5093, kappa: 0.3731, kb_relative_information_score: 0.412, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5166, predictive_accuracy: 0.5269, prior_entropy: 2.1934, recall: 0.5269, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.435, root_relative_squared_error: 1.1113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.6138, kappa: 0.5015, kb_relative_information_score: 0.5303, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6208, predictive_accuracy: 0.6256, prior_entropy: 2.1934, recall: 0.6256, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.387, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.6804, kappa: 0.5856, kb_relative_information_score: 0.5356, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6831, predictive_accuracy: 0.6872, prior_entropy: 2.1934, recall: 0.6872, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.294, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.7005, kappa: 0.6127, kb_relative_information_score: 0.5966, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7098, predictive_accuracy: 0.7091, prior_entropy: 2.1934, recall: 0.7091, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.6943, kappa: 0.6032, kb_relative_information_score: 0.6231, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7009, predictive_accuracy: 0.7013, prior_entropy: 2.1934, recall: 0.7013, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6335, kappa: 0.5267, kb_relative_information_score: 0.4462, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6471, predictive_accuracy: 0.6457, prior_entropy: 2.1934, recall: 0.6457, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.6606, kappa: 0.5603, kb_relative_information_score: 0.5035, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6628, predictive_accuracy: 0.6681, prior_entropy: 2.1934, recall: 0.6681, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.301, root_relative_squared_error: 0.7689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.6769, kappa: 0.58, kb_relative_information_score: 0.5866, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6767, predictive_accuracy: 0.6818, prior_entropy: 2.1934, recall: 0.6818, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7081, kappa: 0.6212, kb_relative_information_score: 0.6161, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7106, predictive_accuracy: 0.7138, prior_entropy: 2.1934, recall: 0.7138, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.7177, kappa: 0.6348, kb_relative_information_score: 0.6479, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7266, predictive_accuracy: 0.7255, prior_entropy: 2.1934, recall: 0.7255, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.6808, kappa: 0.5864, kb_relative_information_score: 0.5565, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.689, predictive_accuracy: 0.6893, prior_entropy: 2.1934, recall: 0.6893, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6581, kappa: 0.5574, kb_relative_information_score: 0.514, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6613, predictive_accuracy: 0.6664, prior_entropy: 2.1934, recall: 0.6664, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.6887, kappa: 0.5979, kb_relative_information_score: 0.5515, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7003, predictive_accuracy: 0.6986, prior_entropy: 2.1934, recall: 0.6986, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.6788, kappa: 0.5835, kb_relative_information_score: 0.5745, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6832, predictive_accuracy: 0.686, prior_entropy: 2.1934, recall: 0.686, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.4931, kappa: 0.3563, kb_relative_information_score: 0.2904, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5176, predictive_accuracy: 0.5252, prior_entropy: 2.1934, recall: 0.5252, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.6179, kappa: 0.507, kb_relative_information_score: 0.5354, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6256, predictive_accuracy: 0.6296, prior_entropy: 2.1934, recall: 0.6296, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6259, kappa: 0.5171, kb_relative_information_score: 0.5443, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6338, predictive_accuracy: 0.6372, prior_entropy: 2.1934, recall: 0.6372, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.381, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.436, kappa: 0.2717, kb_relative_information_score: 0.3208, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4557, predictive_accuracy: 0.4377, prior_entropy: 2.1934, recall: 0.4377, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4743, root_relative_squared_error: 1.2116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.5217, kappa: 0.3977, kb_relative_information_score: 0.4346, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5437, predictive_accuracy: 0.5508, prior_entropy: 2.1934, recall: 0.5508, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.0828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.6242, kappa: 0.514, kb_relative_information_score: 0.5434, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6285, predictive_accuracy: 0.6332, prior_entropy: 2.1934, recall: 0.6332, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.6919, kappa: 0.5995, kb_relative_information_score: 0.621, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6921, predictive_accuracy: 0.6964, prior_entropy: 2.1934, recall: 0.6964, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.6735, kappa: 0.5766, kb_relative_information_score: 0.5593, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6761, predictive_accuracy: 0.6804, prior_entropy: 2.1934, recall: 0.6804, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.664, kappa: 0.5648, kb_relative_information_score: 0.5038, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6726, predictive_accuracy: 0.6733, prior_entropy: 2.1934, recall: 0.6733, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.299, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.724, kappa: 0.6425, kb_relative_information_score: 0.6581, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7295, predictive_accuracy: 0.7306, prior_entropy: 2.1934, recall: 0.7306, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.6233, kappa: 0.5139, kb_relative_information_score: 0.4435, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.63, predictive_accuracy: 0.6346, prior_entropy: 2.1934, recall: 0.6346, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.5258, kappa: 0.4028, kb_relative_information_score: 0.4388, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5479, predictive_accuracy: 0.5554, prior_entropy: 2.1934, recall: 0.5554, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.0773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6214, kappa: 0.5109, kb_relative_information_score: 0.5397, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6277, predictive_accuracy: 0.6321, prior_entropy: 2.1934, recall: 0.6321, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6238, kappa: 0.5145, kb_relative_information_score: 0.5422, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.633, predictive_accuracy: 0.6356, prior_entropy: 2.1934, recall: 0.6356, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6238, kappa: 0.5145, kb_relative_information_score: 0.5422, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.633, predictive_accuracy: 0.6356, prior_entropy: 2.1934, recall: 0.6356, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6246, kappa: 0.5159, kb_relative_information_score: 0.5436, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6337, predictive_accuracy: 0.6365, prior_entropy: 2.1934, recall: 0.6365, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6246, kappa: 0.5159, kb_relative_information_score: 0.5436, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6337, predictive_accuracy: 0.6365, prior_entropy: 2.1934, recall: 0.6365, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.6108, kappa: 0.4986, kb_relative_information_score: 0.5268, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6188, predictive_accuracy: 0.624, prior_entropy: 2.1934, recall: 0.624, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.5258, kappa: 0.4028, kb_relative_information_score: 0.4388, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5479, predictive_accuracy: 0.5554, prior_entropy: 2.1934, recall: 0.5554, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.0773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6238, kappa: 0.5146, kb_relative_information_score: 0.5429, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6322, predictive_accuracy: 0.6352, prior_entropy: 2.1934, recall: 0.6352, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.6608, kappa: 0.5611, kb_relative_information_score: 0.5114, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6635, predictive_accuracy: 0.6689, prior_entropy: 2.1934, recall: 0.6689, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.6752, kappa: 0.5804, kb_relative_information_score: 0.5228, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6874, predictive_accuracy: 0.6856, prior_entropy: 2.1934, recall: 0.6856, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.5256, kappa: 0.4017, kb_relative_information_score: 0.4385, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5467, predictive_accuracy: 0.554, prior_entropy: 2.1934, recall: 0.554, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.3998, kappa: 0.2185, kb_relative_information_score: 0.2524, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4061, predictive_accuracy: 0.3993, prior_entropy: 2.1934, recall: 0.3993, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.1744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.6214, kappa: 0.5109, kb_relative_information_score: 0.5397, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6277, predictive_accuracy: 0.6321, prior_entropy: 2.1934, recall: 0.6321, relative_absolute_error: 0.4801, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6238, kappa: 0.5146, kb_relative_information_score: 0.5429, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6322, predictive_accuracy: 0.6352, prior_entropy: 2.1934, recall: 0.6352, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.521, kappa: 0.3966, kb_relative_information_score: 0.4343, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5463, predictive_accuracy: 0.5504, prior_entropy: 2.1934, recall: 0.5504, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.0833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.521, kappa: 0.3966, kb_relative_information_score: 0.4343, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5463, predictive_accuracy: 0.5504, prior_entropy: 2.1934, recall: 0.5504, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.0833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.6917, kappa: 0.6004, kb_relative_information_score: 0.5866, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6966, predictive_accuracy: 0.699, prior_entropy: 2.1934, recall: 0.699, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.7415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0002, kb_relative_information_score: 0.0828, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2331, prior_entropy: 2.1934, recall: 0.2331, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5283, kappa: 0.4046, kb_relative_information_score: 0.4409, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5497, predictive_accuracy: 0.5558, prior_entropy: 2.1934, recall: 0.5558, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5283, kappa: 0.4046, kb_relative_information_score: 0.4409, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5497, predictive_accuracy: 0.5558, prior_entropy: 2.1934, recall: 0.5558, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.6912, kappa: 0.6, kb_relative_information_score: 0.5725, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6998, predictive_accuracy: 0.6994, prior_entropy: 2.1934, recall: 0.6994, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.5122, kappa: 0.3783, kb_relative_information_score: 0.3184, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5307, predictive_accuracy: 0.539, prior_entropy: 2.1934, recall: 0.539, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.6695, kappa: 0.5724, kb_relative_information_score: 0.5358, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6781, prior_entropy: 2.1934, recall: 0.6781, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.6564, kappa: 0.5544, kb_relative_information_score: 0.5215, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6579, predictive_accuracy: 0.6634, prior_entropy: 2.1934, recall: 0.6634, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.669, kappa: 0.5715, kb_relative_information_score: 0.5159, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.674, predictive_accuracy: 0.6774, prior_entropy: 2.1934, recall: 0.6774, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.5125, kappa: 0.3784, kb_relative_information_score: 0.3145, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5284, predictive_accuracy: 0.5386, prior_entropy: 2.1934, recall: 0.5386, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.344, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.5562, kappa: 0.4242, kb_relative_information_score: 0.3893, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5564, predictive_accuracy: 0.5659, prior_entropy: 2.1934, recall: 0.5659, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.6234, kappa: 0.51, kb_relative_information_score: 0.5216, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6216, predictive_accuracy: 0.6276, prior_entropy: 2.1934, recall: 0.6276, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.724, kappa: 0.6424, kb_relative_information_score: 0.6602, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7296, predictive_accuracy: 0.7304, prior_entropy: 2.1934, recall: 0.7304, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.7538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.5738, kappa: 0.4465, kb_relative_information_score: 0.4539, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5764, predictive_accuracy: 0.5836, prior_entropy: 2.1934, recall: 0.5836, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.4798, kappa: 0.3356, kb_relative_information_score: 0.3895, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6166, predictive_accuracy: 0.5191, prior_entropy: 2.1934, recall: 0.5191, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 83.5705, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 50.4653, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 167.2148, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 52.882, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.5052, kappa: 0.3572, kb_relative_information_score: 3451.6557, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5018, predictive_accuracy: 0.5145, prior_entropy: 2.1936, recall: 0.5145, relative_absolute_error: 0.7516, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.693, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.43, kappa: 0.2829, kb_relative_information_score: 2436.4255, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.445, predictive_accuracy: 0.4749, prior_entropy: 2.1936, recall: 0.4749, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 16.3484, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.3894, kappa: 0.26, kb_relative_information_score: 2174.8442, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4265, predictive_accuracy: 0.4676, prior_entropy: 2.1936, recall: 0.4676, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0002, kb_relative_information_score: 395.2754, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.1769, prior_entropy: 2.1936, recall: 0.1769, relative_absolute_error: 1.0742, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 11.6235, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 145.8257, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3918, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 103.0519, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3916, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 282.5499, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.4596, kappa: 0.3064, kb_relative_information_score: 2628.3045, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4593, predictive_accuracy: 0.4833, prior_entropy: 2.1936, recall: 0.4833, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.2436, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.5766, kappa: 0.4601, kb_relative_information_score: 3595.209, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6037, predictive_accuracy: 0.5992, prior_entropy: 2.1936, recall: 0.5992, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.5771, kappa: 0.4625, kb_relative_information_score: 3557.2144, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6123, predictive_accuracy: 0.602, prior_entropy: 2.1936, recall: 0.602, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.6397, kappa: 0.5356, kb_relative_information_score: 4167.6415, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6581, predictive_accuracy: 0.653, prior_entropy: 2.1936, recall: 0.653, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 10.7767, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2988, prior_entropy: 2.1936, recall: 0.2988, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3915, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.4694, kappa: 0.3098, kb_relative_information_score: 3317.4194, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4649, predictive_accuracy: 0.478, prior_entropy: 2.1936, recall: 0.478, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.968,

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