Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 122247 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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122247 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6233, kappa: 0.0424, kb_relative_information_score: 0.0649, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6305, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9774, unweighted_recall: 0.5161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.646, kappa: 0.0919, kb_relative_information_score: 0.0732, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6827, number_of_instances: 583, precision: 0.6358, predictive_accuracy: 0.6827, prior_entropy: 0.8641, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4546, root_relative_squared_error: 1.0056, unweighted_recall: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6689, kappa: 0.1508, kb_relative_information_score: 0.0669, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6644, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0093, unweighted_recall: 0.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.6026, kappa: 0.0117, kb_relative_information_score: 0.0237, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6332, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9799, unweighted_recall: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, f_measure: 0.6026, kappa: 0.0117, kb_relative_information_score: 0.023, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6332, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9814, unweighted_recall: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, kb_relative_information_score: 0.0104, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9811, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, kb_relative_information_score: 0.0104, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9811, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, kb_relative_information_score: 0.0019, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9849, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.5983, kappa: 0.0085, kb_relative_information_score: -0.0409, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.7965, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9846, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6063, kappa: 0.0097, kb_relative_information_score: 0.0321, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.6057, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9665, unweighted_recall: 0.5035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, kb_relative_information_score: 0.0287, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.976, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, kb_relative_information_score: 0.0228, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.972, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.6466, kappa: 0.0924, kb_relative_information_score: -0.0595, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6981, number_of_instances: 583, precision: 0.6442, predictive_accuracy: 0.6981, prior_entropy: 0.8641, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9941, unweighted_recall: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6318, kappa: 0.0691, kb_relative_information_score: 0.0377, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4091, weighted_recall: 0.717, number_of_instances: 583, precision: 0.6721, predictive_accuracy: 0.717, prior_entropy: 0.8641, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9695, unweighted_recall: 0.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.5983, kappa: 0.0085, kb_relative_information_score: 0.0306, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.7965, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9651, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.6255, kappa: 0.0449, kb_relative_information_score: -0.0687, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6998, number_of_instances: 583, precision: 0.6276, predictive_accuracy: 0.6998, prior_entropy: 0.8641, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9804, unweighted_recall: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.6083, kappa: 0.0215, kb_relative_information_score: 0.04, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6417, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9602, unweighted_recall: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.632, kappa: 0.0624, kb_relative_information_score: 0.0418, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6439, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9634, unweighted_recall: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.6108, kappa: 0.0211, kb_relative_information_score: -0.0886, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6229, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 1.0232, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9937, unweighted_recall: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.6842, kappa: 0.236, kb_relative_information_score: 0.0635, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4091, weighted_recall: 0.681, number_of_instances: 583, precision: 0.6879, predictive_accuracy: 0.681, prior_entropy: 0.8641, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4662, root_relative_squared_error: 1.0311, unweighted_recall: 0.6205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.5983, kappa: 0.0085, kb_relative_information_score: 0.0485, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.7965, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9563, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.6091, kappa: 0.0304, kb_relative_information_score: 0.0102, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7187, number_of_instances: 583, precision: 0.7415, predictive_accuracy: 0.7187, prior_entropy: 0.8641, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9771, unweighted_recall: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, kb_relative_information_score: 0.0032, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9848, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 0.021, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9823, unweighted_recall: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.599, kappa: -0.0067, kb_relative_information_score: 0.0393, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6998, number_of_instances: 583, precision: 0.58, predictive_accuracy: 0.6998, prior_entropy: 0.8641, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9642, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 0.0301, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9733, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 0.0077, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9715, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.599, kappa: -0.0018, kb_relative_information_score: 0.04, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.5871, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9586, unweighted_recall: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.5948, kappa: -0.0051, kb_relative_information_score: 0.0063, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5659, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9716, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6352, kappa: 0.07, kb_relative_information_score: 0.045, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.6491, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9625, unweighted_recall: 0.5269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, kb_relative_information_score: 0.0179, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9745, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, kb_relative_information_score: 0.0238, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9767, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6486, f_measure: 0.6559, kappa: 0.1164, kb_relative_information_score: -0.1304, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.6505, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 1.0546, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0024, unweighted_recall: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.5925, kappa: -0.02, kb_relative_information_score: 0.0225, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6981, number_of_instances: 583, precision: 0.5511, predictive_accuracy: 0.6981, prior_entropy: 0.8641, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.9692, unweighted_recall: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.5981, kappa: -0.0051, kb_relative_information_score: 0.0425, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.5802, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9616, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.6426, kappa: 0.0886, kb_relative_information_score: 0.046, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.663, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9636, unweighted_recall: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.6089, kappa: 0.0145, kb_relative_information_score: -0.1386, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.611, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 1.0634, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0109, unweighted_recall: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.613, kappa: 0.0387, kb_relative_information_score: 0.0431, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7204, number_of_instances: 583, precision: 0.7519, predictive_accuracy: 0.7204, prior_entropy: 0.8641, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9663, unweighted_recall: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.6184, kappa: 0.0427, kb_relative_information_score: 0.0248, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.6666, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9846, unweighted_recall: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.5981, kappa: -0.0051, kb_relative_information_score: 0.044, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.5802, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9616, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, kb_relative_information_score: 0.0301, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9758, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6101, kappa: 0.023, kb_relative_information_score: 0.0407, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.6344, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9606, unweighted_recall: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6225, kappa: 0.0487, kb_relative_information_score: 0.0298, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9742, unweighted_recall: 0.5179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.6055, kappa: 0.0114, kb_relative_information_score: 0.036, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6127, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9653, unweighted_recall: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.5996, kappa: 0.0067, kb_relative_information_score: -0.0545, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9895, unweighted_recall: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 0.0268, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9678, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9792, unweighted_recall: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.6101, kappa: 0.0338, kb_relative_information_score: 0.0631, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7204, number_of_instances: 583, precision: 0.7991, predictive_accuracy: 0.7204, prior_entropy: 0.8641, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9451, unweighted_recall: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.0293, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9776, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, kb_relative_information_score: 0.0104, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9729, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6147, kappa: 0.0346, kb_relative_information_score: 0.0467, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6561, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9604, unweighted_recall: 0.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, kb_relative_information_score: 0.0269, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9767, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.5972, kappa: -0.0084, kb_relative_information_score: 0.0286, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7015, number_of_instances: 583, precision: 0.5744, predictive_accuracy: 0.7015, prior_entropy: 0.8641, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9836, unweighted_recall: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, kb_relative_information_score: 0.0292, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.973, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0301, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9767, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6374, kappa: 0.0767, kb_relative_information_score: 0.046, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6574, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9623, unweighted_recall: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.6374, kappa: 0.0767, kb_relative_information_score: 0.046, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6574, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9623, unweighted_recall: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.6055, kappa: 0.0166, kb_relative_information_score: 0.0213, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6382, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.9823, unweighted_recall: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.594, kappa: -0.0085, kb_relative_information_score: 0.029, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.556, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9725, unweighted_recall: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.0063, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9822, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 0.0048, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9881, unweighted_recall: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.6513, kappa: 0.1197, kb_relative_information_score: -0.1167, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6672, number_of_instances: 583, precision: 0.642, predictive_accuracy: 0.6672, prior_entropy: 0.8641, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0229, unweighted_recall: 0.5554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.6364, kappa: 0.0756, kb_relative_information_score: 0.0445, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6612, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9742, unweighted_recall: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, kb_relative_information_score: 0.0272, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9732, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, f_measure: 0.5983, kappa: 0.0085, kb_relative_information_score: 0.0267, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.7965, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9677, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.5996, kappa: 0.0067, kb_relative_information_score: 0.0353, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9719, unweighted_recall: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.654, kappa: 0.1134, kb_relative_information_score: 0.0334, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6667, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9774, unweighted_recall: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, kb_relative_information_score: 0.0276, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.9763, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5926, kappa: -0.0068, kb_relative_information_score: 0.0392, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7101, number_of_instances: 583, precision: 0.5085, predictive_accuracy: 0.7101, prior_entropy: 0.8641, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9682, unweighted_recall: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.5966, kappa: 0.0017, kb_relative_information_score: 0.0127, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6048, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9826, unweighted_recall: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.5981, kappa: -0.0051, kb_relative_information_score: 0.043, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.5802, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9567, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.6144, kappa: 0.0292, kb_relative_information_score: 0.0366, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.633, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9659, unweighted_recall: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.5981, kappa: -0.0051, kb_relative_information_score: 0.0339, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7033, number_of_instances: 583, precision: 0.5802, predictive_accuracy: 0.7033, prior_entropy: 0.8641, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9675, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.5999, kappa: 0.0016, kb_relative_information_score: 0.0289, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.5953, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9709, unweighted_recall: 0.5006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6092, kappa: 0.0249, kb_relative_information_score: 0.0443, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.655, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9667, unweighted_recall: 0.509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.5901, kappa: -0.0169, kb_relative_information_score: 0.0065, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.5074, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9936, unweighted_recall: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, kb_relative_information_score: 0.0272, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9768, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6073, kappa: 0.0235, kb_relative_information_score: 0.0329, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7153, number_of_instances: 583, precision: 0.6753, predictive_accuracy: 0.7153, prior_entropy: 0.8641, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9699, unweighted_recall: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, kb_relative_information_score: 0.0019, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9943, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.6091, kappa: 0.0304, kb_relative_information_score: 0.0431, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7187, number_of_instances: 583, precision: 0.7415, predictive_accuracy: 0.7187, prior_entropy: 0.8641, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9651, unweighted_recall: 0.5108,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 0.0345, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9727, unweighted_recall: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, kb_relative_information_score: 0.0248, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9746, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.5974, kappa: 0.0051, kb_relative_information_score: 0.0722, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6529, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9403, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5948, kappa: -0.0051, kb_relative_information_score: 0.0344, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5659, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.974, unweighted_recall: 0.4982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.5979, kappa: -0.0001, kb_relative_information_score: 0.0342, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.591, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9704, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.6174, kappa: 0.0393, kb_relative_information_score: 0.0353, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, precision: 0.6567, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9564, unweighted_recall: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6083, kappa: 0.0215, kb_relative_information_score: 0.0373, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.6417, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9619, unweighted_recall: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6543, kappa: 0.1119, kb_relative_information_score: 0.0482, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6981, number_of_instances: 583, precision: 0.6502, predictive_accuracy: 0.6981, prior_entropy: 0.8641, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9592, unweighted_recall: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.6073, kappa: 0.013, kb_relative_information_score: 0.0096, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.6117, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9892, unweighted_recall: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 0.0057, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7118, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8641, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.444, root_relative_squared_error: 0.982, unweighted_recall: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.5972, kappa: -0.0132, kb_relative_information_score: 0.0499, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6964, number_of_instances: 583, precision: 0.5713, predictive_accuracy: 0.6964, prior_entropy: 0.8641, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9602, unweighted_recall: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.5918, kappa: -0.0102, kb_relative_information_score: 0.0195, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7084, number_of_instances: 583, precision: 0.5081, predictive_accuracy: 0.7084, prior_entropy: 0.8641, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9785, unweighted_recall: 0.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6361, kappa: 0.0711, kb_relative_information_score: 0.0477, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7067, number_of_instances: 583, precision: 0.6467, predictive_accuracy: 0.7067, prior_entropy: 0.8641, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9623, unweighted_recall: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.5972, kappa: -0.0084, kb_relative_information_score: 0.0282, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7015, number_of_instances: 583, precision: 0.5744, predictive_accuracy: 0.7015, prior_entropy: 0.8641, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9837, unweighted_recall: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.599, kappa: -0.0018, kb_relative_information_score: 0.0276, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4091, weighted_recall: 0.705, number_of_instances: 583, precision: 0.5871, predictive_accuracy: 0.705, prior_entropy: 0.8641, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.972, unweighted_recall: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.628, kappa: 0.0635, kb_relative_information_score: 0.0263, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7187, number_of_instances: 583, precision: 0.682, predictive_accuracy: 0.7187, prior_entropy: 0.8641, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9827, unweighted_recall: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, kb_relative_information_score: 0.0362, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4091, weighted_recall: 0.7136, number_of_instances: 583, predictive_accuracy: 0.7136, prior_entropy: 0.8641, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9708, unweighted_recall: 0.5,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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

OpenML APIs