OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14284 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

14284 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: 0.7977, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 26779.7285, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7165, kappa: 0.4309, kb_relative_information_score: 7469.4558, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7165, predictive_accuracy: 0.7167, prior_entropy: 0.9976, recall: 0.7167, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7199, kappa: 0.438, kb_relative_information_score: 26416.9005, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.3829, kappa: 0.0059, kb_relative_information_score: -28.8763, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5399, predictive_accuracy: 0.5304, prior_entropy: 0.9976, recall: 0.5304, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.715, kappa: 0.4277, kb_relative_information_score: 21065.13, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7153, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 24990.9536, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7218, kappa: 0.4415, kb_relative_information_score: 25180.9959, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7073, kappa: 0.4125, kb_relative_information_score: 27658.0864, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7072, predictive_accuracy: 0.7074, prior_entropy: 0.9976, recall: 0.7074, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.721, kappa: 0.4398, kb_relative_information_score: 24947.9118, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7221, kappa: 0.4423, kb_relative_information_score: 26872.4692, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7222, prior_entropy: 0.9976, recall: 0.7222, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7102, kappa: 0.4182, kb_relative_information_score: 8902.3381, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7101, predictive_accuracy: 0.7104, prior_entropy: 0.9976, recall: 0.7104, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7203, kappa: 0.4386, kb_relative_information_score: 24767.5264, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6957, kappa: 0.389, kb_relative_information_score: 23651.9952, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6956, predictive_accuracy: 0.696, prior_entropy: 0.9976, recall: 0.696, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 26401.7953, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7191, kappa: 0.4364, kb_relative_information_score: 26559.4406, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7163, kappa: 0.4304, kb_relative_information_score: 7248.8803, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7164, predictive_accuracy: 0.7167, prior_entropy: 0.9976, recall: 0.7167, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.7132, kappa: 0.4243, kb_relative_information_score: 17660.0746, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7132, predictive_accuracy: 0.7134, prior_entropy: 0.9976, recall: 0.7134, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 27431.1596, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7202, kappa: 0.4386, kb_relative_information_score: 27194.9009, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.3712, kappa: 0.0041, kb_relative_information_score: 65.6804, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6233, predictive_accuracy: 0.5303, prior_entropy: 0.9976, recall: 0.5303, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7211, kappa: 0.4404, kb_relative_information_score: 26670.7798, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.718, kappa: 0.4342, kb_relative_information_score: 26156.2699, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7181, predictive_accuracy: 0.718, prior_entropy: 0.9976, recall: 0.718, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7111, kappa: 0.4201, kb_relative_information_score: 2951.2391, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7111, predictive_accuracy: 0.7114, prior_entropy: 0.9976, recall: 0.7114, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7219, kappa: 0.4418, kb_relative_information_score: 7188.8148, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7219, predictive_accuracy: 0.7221, prior_entropy: 0.9976, recall: 0.7221, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7142, kappa: 0.4265, kb_relative_information_score: 27445.5051, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7142, predictive_accuracy: 0.7143, prior_entropy: 0.9976, recall: 0.7143, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7163, kappa: 0.4307, kb_relative_information_score: 27625.3363, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7163, predictive_accuracy: 0.7164, prior_entropy: 0.9976, recall: 0.7164, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3663, kappa: 0.0003, kb_relative_information_score: 4.0817, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5429, predictive_accuracy: 0.5287, prior_entropy: 0.9976, recall: 0.5287, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7192, kappa: 0.4364, kb_relative_information_score: 26705.3985, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7163, kappa: 0.4305, kb_relative_information_score: 14061.7254, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7163, predictive_accuracy: 0.7165, prior_entropy: 0.9976, recall: 0.7165, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7202, kappa: 0.4382, kb_relative_information_score: 7513.5182, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 26257.0534, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 27305.4689, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7216, kappa: 0.4412, kb_relative_information_score: 26980.7238, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7215, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7148, kappa: 0.4274, kb_relative_information_score: 4301.13, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7153, prior_entropy: 0.9976, recall: 0.7153, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5136, kappa: 0.0549, kb_relative_information_score: 623.563, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5348, predictive_accuracy: 0.54, prior_entropy: 0.9976, recall: 0.54, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7157, kappa: 0.4294, kb_relative_information_score: 27734.7831, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7157, predictive_accuracy: 0.7158, prior_entropy: 0.9976, recall: 0.7158, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, kb_relative_information_score: 8.3418, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.719, kappa: 0.4361, kb_relative_information_score: 27630.5373, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.719, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7205, kappa: 0.4392, kb_relative_information_score: 26472.1903, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.6976, kappa: 0.3928, kb_relative_information_score: 9858.6098, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6975, predictive_accuracy: 0.6978, prior_entropy: 0.9976, recall: 0.6978, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7194, kappa: 0.4369, kb_relative_information_score: 26391.1852, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7202, kappa: 0.4386, kb_relative_information_score: 26663.7948, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.5884, kappa: 0.1737, kb_relative_information_score: 6824.1971, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5882, predictive_accuracy: 0.5887, prior_entropy: 0.9976, recall: 0.5887, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 26416.0978, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7224, kappa: 0.4427, kb_relative_information_score: 6566.2781, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7224, predictive_accuracy: 0.7226, prior_entropy: 0.9976, recall: 0.7226, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7212, kappa: 0.4405, kb_relative_information_score: 26560.4399, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9976, recall: 0.7212, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7205, kappa: 0.4389, kb_relative_information_score: 24894.1188, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.5671, kappa: 0.1354, kb_relative_information_score: 1819.0529, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5721, predictive_accuracy: 0.5741, prior_entropy: 0.9976, recall: 0.5741, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7182, kappa: 0.4345, kb_relative_information_score: 27725.3957, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7182, predictive_accuracy: 0.7183, prior_entropy: 0.9976, recall: 0.7183, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.672, kappa: 0.3416, kb_relative_information_score: -66.4633, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6719, predictive_accuracy: 0.6721, prior_entropy: 0.9976, recall: 0.6721, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6913, kappa: 0.3801, kb_relative_information_score: 1401.7928, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6917, predictive_accuracy: 0.6921, prior_entropy: 0.9976, recall: 0.6921, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7183, kappa: 0.4345, kb_relative_information_score: 22858.4766, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7049, kappa: 0.4077, kb_relative_information_score: 27503.7125, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7048, predictive_accuracy: 0.705, prior_entropy: 0.9976, recall: 0.705, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7119, kappa: 0.4216, kb_relative_information_score: 65.5986, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.712, predictive_accuracy: 0.7123, prior_entropy: 0.9976, recall: 0.7123, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7213, kappa: 0.4408, kb_relative_information_score: 27713.2379, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7222, kappa: 0.4422, kb_relative_information_score: 25127.9623, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7224, prior_entropy: 0.9976, recall: 0.7224, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7155, kappa: 0.4291, kb_relative_information_score: 27568.0453, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7155, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26680.3694, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7133, kappa: 0.4246, kb_relative_information_score: 27660.7459, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7132, predictive_accuracy: 0.7134, prior_entropy: 0.9976, recall: 0.7134, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7189, kappa: 0.4359, kb_relative_information_score: 27468.5963, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7189, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26625.1854, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 25241.2064, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7182, kappa: 0.4341, kb_relative_information_score: 23205.8668, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7182, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7201, kappa: 0.4384, kb_relative_information_score: 26761.4273, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7071, kappa: 0.412, kb_relative_information_score: 6001.2087, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7071, predictive_accuracy: 0.7074, prior_entropy: 0.9976, recall: 0.7074, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.715, kappa: 0.4277, kb_relative_information_score: 20769.4111, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7153, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7218, kappa: 0.4417, kb_relative_information_score: 26363.2588, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.7219, prior_entropy: 0.9976, recall: 0.7219, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7187, kappa: 0.4352, kb_relative_information_score: 8260.483, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7159, kappa: 0.4295, kb_relative_information_score: 99.781, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7159, predictive_accuracy: 0.7162, prior_entropy: 0.9976, recall: 0.7162, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7075, kappa: 0.4129, kb_relative_information_score: 20080.5568, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7074, predictive_accuracy: 0.7076, prior_entropy: 0.9976, recall: 0.7076, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 25201.3698, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6989, kappa: 0.3954, kb_relative_information_score: 44.7414, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6988, predictive_accuracy: 0.6991, prior_entropy: 0.9976, recall: 0.6991, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7187, kappa: 0.4355, kb_relative_information_score: 27623.7681, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 26023.5112, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 5449.1871, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.6959, kappa: 0.3897, kb_relative_information_score: 1579.9859, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6959, predictive_accuracy: 0.696, prior_entropy: 0.9976, recall: 0.696, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7124, kappa: 0.4227, kb_relative_information_score: 216.4003, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7124, predictive_accuracy: 0.7127, prior_entropy: 0.9976, recall: 0.7127, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4379, kb_relative_information_score: 25105.4586, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 25947.5922, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6376, kappa: 0.2753, kb_relative_information_score: 11493.643, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6438, predictive_accuracy: 0.6427, prior_entropy: 0.9976, recall: 0.6427, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7174, kappa: 0.4326, kb_relative_information_score: 22230.6767, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7175, predictive_accuracy: 0.7178, prior_entropy: 0.9976, recall: 0.7178, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7214, kappa: 0.4408, kb_relative_information_score: 24908.3723, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.6967, kappa: 0.3912, kb_relative_information_score: 335.3875, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6966, predictive_accuracy: 0.6969, prior_entropy: 0.9976, recall: 0.6969, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7214, kappa: 0.4409, kb_relative_information_score: 26123.3575, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7218, kappa: 0.4416, kb_relative_information_score: 9091.1593, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7218, predictive_accuracy: 0.722, prior_entropy: 0.9976, recall: 0.722, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4733, f_measure: 0.4491, kappa: -0.0063, kb_relative_information_score: -289.7897, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.496, predictive_accuracy: 0.5168, prior_entropy: 0.9976, recall: 0.5168, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0946, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7205, kappa: 0.4391, kb_relative_information_score: 26838.3461, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 6953.7675, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6907, kappa: 0.3792, kb_relative_information_score: 931.0486, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6907, predictive_accuracy: 0.6909, prior_entropy: 0.9976, recall: 0.6909, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.366, kappa: 0.0001, kb_relative_information_score: 6.446, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5324, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.6816, kappa: 0.3612, kb_relative_information_score: 258.113, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6816, predictive_accuracy: 0.6815, prior_entropy: 0.9976, recall: 0.6815, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7206, kappa: 0.4392, kb_relative_information_score: 27148.3097, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.4494, kappa: 0.0269, kb_relative_information_score: 275.0326, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5332, predictive_accuracy: 0.5352, prior_entropy: 0.9976, recall: 0.5352, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7192, kappa: 0.4365, kb_relative_information_score: 26602.6003, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7192, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6319, kappa: 0.2629, kb_relative_information_score: 11335.5857, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6364, predictive_accuracy: 0.6361, prior_entropy: 0.9976, recall: 0.6361, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7195, kappa: 0.437, kb_relative_information_score: 6137.2679, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7195, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.706, kappa: 0.4098, kb_relative_information_score: -107.6413, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.706, predictive_accuracy: 0.7063, prior_entropy: 0.9976, recall: 0.7063, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, f_measure: 0.6923, kappa: 0.3822, kb_relative_information_score: -407.2082, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6924, predictive_accuracy: 0.6928, prior_entropy: 0.9976, recall: 0.6928, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7211, kappa: 0.4402, kb_relative_information_score: 27342.4356, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8552,

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