OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59790 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59790 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8515, kappa: 0.7031, kb_relative_information_score: 0.412, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.5, weighted_recall: 0.8515, number_of_instances: 2600, precision: 0.8517, predictive_accuracy: 0.8515, prior_entropy: 1, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7221, unweighted_recall: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.86, kappa: 0.72, kb_relative_information_score: 0.4207, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.5, weighted_recall: 0.86, number_of_instances: 2600, precision: 0.8603, predictive_accuracy: 0.86, prior_entropy: 1, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.712, unweighted_recall: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8634, kappa: 0.7269, kb_relative_information_score: 0.4425, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.5, weighted_recall: 0.8635, number_of_instances: 2600, precision: 0.8638, predictive_accuracy: 0.8635, prior_entropy: 1, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.6969, unweighted_recall: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 0.4626, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.5, weighted_recall: 0.8688, number_of_instances: 2600, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 1, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6844, unweighted_recall: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 0.4252, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.5, weighted_recall: 0.8465, number_of_instances: 2600, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 1, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7178, unweighted_recall: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7643, kappa: 0.53, kb_relative_information_score: 0.2043, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.5, weighted_recall: 0.765, number_of_instances: 2600, precision: 0.7681, predictive_accuracy: 0.765, prior_entropy: 1, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8622, unweighted_recall: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8727, kappa: 0.7454, kb_relative_information_score: 0.4621, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.5, weighted_recall: 0.8727, number_of_instances: 2600, precision: 0.8728, predictive_accuracy: 0.8727, prior_entropy: 1, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6836, unweighted_recall: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 0.3926, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, weighted_recall: 0.8258, number_of_instances: 2600, precision: 0.8259, predictive_accuracy: 0.8258, prior_entropy: 1, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7506, unweighted_recall: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8299, kappa: 0.66, kb_relative_information_score: 0.3418, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, weighted_recall: 0.83, number_of_instances: 2600, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 1, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7692, unweighted_recall: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 0.3943, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.5, weighted_recall: 0.8465, number_of_instances: 2600, precision: 0.8471, predictive_accuracy: 0.8465, prior_entropy: 1, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7311, unweighted_recall: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 0.4142, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.5, weighted_recall: 0.845, number_of_instances: 2600, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 1, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266, unweighted_recall: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8361, kappa: 0.6723, kb_relative_information_score: 0.3928, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, weighted_recall: 0.8362, number_of_instances: 2600, precision: 0.8364, predictive_accuracy: 0.8362, prior_entropy: 1, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, unweighted_recall: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.803, kappa: 0.6069, kb_relative_information_score: 0.2611, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.5, weighted_recall: 0.8035, number_of_instances: 2600, precision: 0.8065, predictive_accuracy: 0.8035, prior_entropy: 1, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8211, unweighted_recall: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 0.5064, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.5, weighted_recall: 0.8681, number_of_instances: 2600, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 1, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6605, unweighted_recall: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7313, kappa: 0.4646, kb_relative_information_score: 0.1729, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.5, weighted_recall: 0.7323, number_of_instances: 2600, precision: 0.7357, predictive_accuracy: 0.7323, prior_entropy: 1, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8866, unweighted_recall: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8408, kappa: 0.6815, kb_relative_information_score: 0.4223, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.5, weighted_recall: 0.8408, number_of_instances: 2600, precision: 0.8409, predictive_accuracy: 0.8408, prior_entropy: 1, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7252, unweighted_recall: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8585, kappa: 0.7169, kb_relative_information_score: 0.5205, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.5, weighted_recall: 0.8585, number_of_instances: 2600, precision: 0.8585, predictive_accuracy: 0.8585, prior_entropy: 1, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6607, unweighted_recall: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 0.4462, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, weighted_recall: 0.8604, number_of_instances: 2600, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 1, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.6975, unweighted_recall: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8283, kappa: 0.6569, kb_relative_information_score: 0.3293, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.5, weighted_recall: 0.8285, number_of_instances: 2600, precision: 0.8294, predictive_accuracy: 0.8285, prior_entropy: 1, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7765, unweighted_recall: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8407, kappa: 0.6815, kb_relative_information_score: 0.4229, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.5, weighted_recall: 0.8408, number_of_instances: 2600, precision: 0.841, predictive_accuracy: 0.8408, prior_entropy: 1, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7257, unweighted_recall: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8473, kappa: 0.6946, kb_relative_information_score: 0.3737, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, weighted_recall: 0.8473, number_of_instances: 2600, precision: 0.8478, predictive_accuracy: 0.8473, prior_entropy: 1, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7456, unweighted_recall: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.7597, kappa: 0.52, kb_relative_information_score: 0.1918, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.5, weighted_recall: 0.76, number_of_instances: 2600, precision: 0.7614, predictive_accuracy: 0.76, prior_entropy: 1, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8726, unweighted_recall: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8484, kappa: 0.6969, kb_relative_information_score: 0.3995, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.5, weighted_recall: 0.8485, number_of_instances: 2600, precision: 0.8486, predictive_accuracy: 0.8485, prior_entropy: 1, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7307, unweighted_recall: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.833, kappa: 0.6662, kb_relative_information_score: 0.3478, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.5, weighted_recall: 0.8331, number_of_instances: 2600, precision: 0.834, predictive_accuracy: 0.8331, prior_entropy: 1, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7616, unweighted_recall: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 0.3745, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.5, weighted_recall: 0.8488, number_of_instances: 2600, precision: 0.8496, predictive_accuracy: 0.8488, prior_entropy: 1, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7423, unweighted_recall: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8704, kappa: 0.7408, kb_relative_information_score: 0.4935, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.5, weighted_recall: 0.8704, number_of_instances: 2600, precision: 0.8704, predictive_accuracy: 0.8704, prior_entropy: 1, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6677, unweighted_recall: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7548, kappa: 0.5115, kb_relative_information_score: 0.202, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.5, weighted_recall: 0.7558, number_of_instances: 2600, precision: 0.7598, predictive_accuracy: 0.7558, prior_entropy: 1, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8659, unweighted_recall: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 0.4058, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.5, weighted_recall: 0.8488, number_of_instances: 2600, precision: 0.849, predictive_accuracy: 0.8488, prior_entropy: 1, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7265, unweighted_recall: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8669, kappa: 0.7338, kb_relative_information_score: 0.4915, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, weighted_recall: 0.8669, number_of_instances: 2600, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6695, unweighted_recall: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8006, kappa: 0.6023, kb_relative_information_score: 0.266, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.5, weighted_recall: 0.8012, number_of_instances: 2600, precision: 0.8045, predictive_accuracy: 0.8012, prior_entropy: 1, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8182, unweighted_recall: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 0.4297, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.5, weighted_recall: 0.8412, number_of_instances: 2600, precision: 0.8413, predictive_accuracy: 0.8412, prior_entropy: 1, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7202, unweighted_recall: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.8148, kappa: 0.63, kb_relative_information_score: 0.2976, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.5, weighted_recall: 0.815, number_of_instances: 2600, precision: 0.8166, predictive_accuracy: 0.815, prior_entropy: 1, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7974, unweighted_recall: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 0.3484, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.5, weighted_recall: 0.8365, number_of_instances: 2600, precision: 0.8371, predictive_accuracy: 0.8365, prior_entropy: 1, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7609, unweighted_recall: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7266, kappa: 0.4554, kb_relative_information_score: 0.1534, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.5, weighted_recall: 0.7277, number_of_instances: 2600, precision: 0.7315, predictive_accuracy: 0.7277, prior_entropy: 1, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.449, root_relative_squared_error: 0.8981, unweighted_recall: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 0.4237, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.5, weighted_recall: 0.8438, number_of_instances: 2600, precision: 0.844, predictive_accuracy: 0.8438, prior_entropy: 1, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7193, unweighted_recall: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 0.0243, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, weighted_recall: 0.6112, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9841, unweighted_recall: 0.6112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8584, kappa: 0.7169, kb_relative_information_score: 0.4109, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, weighted_recall: 0.8585, number_of_instances: 2600, precision: 0.8587, predictive_accuracy: 0.8585, prior_entropy: 1, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7182, unweighted_recall: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7912, kappa: 0.5831, kb_relative_information_score: 0.275, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.5, weighted_recall: 0.7915, number_of_instances: 2600, precision: 0.7933, predictive_accuracy: 0.7915, prior_entropy: 1, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8169, unweighted_recall: 0.7915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.858, kappa: 0.7162, kb_relative_information_score: 0.4136, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, weighted_recall: 0.8581, number_of_instances: 2600, precision: 0.8584, predictive_accuracy: 0.8581, prior_entropy: 1, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7152, unweighted_recall: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 0.4012, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.5, weighted_recall: 0.8481, number_of_instances: 2600, precision: 0.8482, predictive_accuracy: 0.8481, prior_entropy: 1, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7286, unweighted_recall: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8323, kappa: 0.6646, kb_relative_information_score: 0.3904, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.5, weighted_recall: 0.8323, number_of_instances: 2600, precision: 0.8326, predictive_accuracy: 0.8323, prior_entropy: 1, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7437, unweighted_recall: 0.8323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7864, kappa: 0.5738, kb_relative_information_score: 0.232, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.5, weighted_recall: 0.7869, number_of_instances: 2600, precision: 0.7896, predictive_accuracy: 0.7869, prior_entropy: 1, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8423, unweighted_recall: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 0.4227, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.5, weighted_recall: 0.8404, number_of_instances: 2600, precision: 0.8404, predictive_accuracy: 0.8404, prior_entropy: 1, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7238, unweighted_recall: 0.8404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8345, kappa: 0.6692, kb_relative_information_score: 0.3335, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.5, weighted_recall: 0.8346, number_of_instances: 2600, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 1, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7705, unweighted_recall: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 0.4276, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.5, weighted_recall: 0.8415, number_of_instances: 2600, precision: 0.8417, predictive_accuracy: 0.8415, prior_entropy: 1, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7192, unweighted_recall: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 0.4277, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.5, weighted_recall: 0.8627, number_of_instances: 2600, precision: 0.8629, predictive_accuracy: 0.8627, prior_entropy: 1, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7065, unweighted_recall: 0.8627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8319, kappa: 0.6638, kb_relative_information_score: 0.5448, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.5, weighted_recall: 0.8319, number_of_instances: 2600, precision: 0.8319, predictive_accuracy: 0.8319, prior_entropy: 1, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7006, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7319, kappa: 0.4654, kb_relative_information_score: 0.15, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, weighted_recall: 0.7327, number_of_instances: 2600, precision: 0.7355, predictive_accuracy: 0.7327, prior_entropy: 1, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994, unweighted_recall: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8285, kappa: 0.6569, kb_relative_information_score: 0.5444, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.5, weighted_recall: 0.8285, number_of_instances: 2600, precision: 0.8285, predictive_accuracy: 0.8285, prior_entropy: 1, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7064, unweighted_recall: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8476, kappa: 0.6954, kb_relative_information_score: 0.3606, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.5, weighted_recall: 0.8477, number_of_instances: 2600, precision: 0.8484, predictive_accuracy: 0.8477, prior_entropy: 1, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7515, unweighted_recall: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.818, kappa: 0.6362, kb_relative_information_score: 0.3195, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.5, weighted_recall: 0.8181, number_of_instances: 2600, precision: 0.8183, predictive_accuracy: 0.8181, prior_entropy: 1, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7853, unweighted_recall: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7427, kappa: 0.4877, kb_relative_information_score: 0.1588, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.5, weighted_recall: 0.7438, number_of_instances: 2600, precision: 0.7483, predictive_accuracy: 0.7438, prior_entropy: 1, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8942, unweighted_recall: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8573, kappa: 0.7146, kb_relative_information_score: 0.4025, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.5, weighted_recall: 0.8573, number_of_instances: 2600, precision: 0.8577, predictive_accuracy: 0.8573, prior_entropy: 1, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7224, unweighted_recall: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8623, kappa: 0.7246, kb_relative_information_score: 0.5244, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.5, weighted_recall: 0.8623, number_of_instances: 2600, precision: 0.8623, predictive_accuracy: 0.8623, prior_entropy: 1, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6568, unweighted_recall: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8385, kappa: 0.6769, kb_relative_information_score: 0.3967, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, weighted_recall: 0.8385, number_of_instances: 2600, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 1, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7375, unweighted_recall: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8481, kappa: 0.6962, kb_relative_information_score: 0.412, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.5, weighted_recall: 0.8481, number_of_instances: 2600, precision: 0.8482, predictive_accuracy: 0.8481, prior_entropy: 1, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7244, unweighted_recall: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 0.5447, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.5, weighted_recall: 0.8396, number_of_instances: 2600, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 1, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6867, unweighted_recall: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.87, kappa: 0.74, kb_relative_information_score: 0.515, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, weighted_recall: 0.87, number_of_instances: 2600, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 1, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.657, unweighted_recall: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.5992, kappa: 0.1985, kb_relative_information_score: 0.0184, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, weighted_recall: 0.5992, number_of_instances: 2600, precision: 0.5993, predictive_accuracy: 0.5992, prior_entropy: 1, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9881, unweighted_recall: 0.5992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 0.3955, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.5, weighted_recall: 0.8465, number_of_instances: 2600, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 1, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7343, unweighted_recall: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8654, kappa: 0.7308, kb_relative_information_score: 0.5338, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, weighted_recall: 0.8654, number_of_instances: 2600, precision: 0.8654, predictive_accuracy: 0.8654, prior_entropy: 1, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6537, unweighted_recall: 0.8654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8271, kappa: 0.6546, kb_relative_information_score: 0.3081, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.5, weighted_recall: 0.8273, number_of_instances: 2600, precision: 0.8287, predictive_accuracy: 0.8273, prior_entropy: 1, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7883, unweighted_recall: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7319, kappa: 0.4654, kb_relative_information_score: 0.15, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, weighted_recall: 0.7327, number_of_instances: 2600, precision: 0.7355, predictive_accuracy: 0.7327, prior_entropy: 1, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994, unweighted_recall: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.855, kappa: 0.71, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.5, weighted_recall: 0.855, number_of_instances: 2600, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 1, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6603, unweighted_recall: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 0.3937, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, weighted_recall: 0.8488, number_of_instances: 2600, precision: 0.849, predictive_accuracy: 0.8488, prior_entropy: 1, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, unweighted_recall: 0.8488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7319, kappa: 0.4654, kb_relative_information_score: 0.15, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, weighted_recall: 0.7327, number_of_instances: 2600, precision: 0.7355, predictive_accuracy: 0.7327, prior_entropy: 1, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994, unweighted_recall: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.5731, kappa: 0.1462, kb_relative_information_score: 0.019, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, weighted_recall: 0.5731, number_of_instances: 2600, precision: 0.5731, predictive_accuracy: 0.5731, prior_entropy: 1, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, unweighted_recall: 0.5731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8608, kappa: 0.7215, kb_relative_information_score: 0.4867, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, weighted_recall: 0.8608, number_of_instances: 2600, precision: 0.8608, predictive_accuracy: 0.8608, prior_entropy: 1, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6749, unweighted_recall: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6519, kappa: 0.3046, kb_relative_information_score: 0.0735, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, weighted_recall: 0.6523, number_of_instances: 2600, precision: 0.6531, predictive_accuracy: 0.6523, prior_entropy: 1, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9517, unweighted_recall: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7319, kappa: 0.4654, kb_relative_information_score: 0.15, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, weighted_recall: 0.7327, number_of_instances: 2600, precision: 0.7355, predictive_accuracy: 0.7327, prior_entropy: 1, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994, unweighted_recall: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 0.3732, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, weighted_recall: 0.8465, number_of_instances: 2600, precision: 0.847, predictive_accuracy: 0.8465, prior_entropy: 1, relative_absolute_error: 0.6757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7481, unweighted_recall: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 0.5149, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, weighted_recall: 0.8673, number_of_instances: 2600, precision: 0.8674, predictive_accuracy: 0.8673, prior_entropy: 1, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6578, unweighted_recall: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8059, kappa: 0.6123, kb_relative_information_score: 0.2676, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.5, weighted_recall: 0.8062, number_of_instances: 2600, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, relative_absolute_error: 0.7765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8194, unweighted_recall: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8692, kappa: 0.7385, kb_relative_information_score: 0.504, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.5, weighted_recall: 0.8692, number_of_instances: 2600, precision: 0.8693, predictive_accuracy: 0.8692, prior_entropy: 1, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6611, unweighted_recall: 0.8692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8427, kappa: 0.6854, kb_relative_information_score: 0.3788, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, weighted_recall: 0.8427, number_of_instances: 2600, precision: 0.843, predictive_accuracy: 0.8427, prior_entropy: 1, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7439, unweighted_recall: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.858, kappa: 0.7162, kb_relative_information_score: 0.4085, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.5, weighted_recall: 0.8581, number_of_instances: 2600, precision: 0.8587, predictive_accuracy: 0.8581, prior_entropy: 1, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7194, unweighted_recall: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6604, kappa: 0.3215, kb_relative_information_score: 0.0798, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, weighted_recall: 0.6608, number_of_instances: 2600, precision: 0.6615, predictive_accuracy: 0.6608, prior_entropy: 1, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9479, unweighted_recall: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 0.5102, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, weighted_recall: 0.8681, number_of_instances: 2600, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 1, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.6584, unweighted_recall: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 0.3483, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.5, weighted_recall: 0.8358, number_of_instances: 2600, precision: 0.8362, predictive_accuracy: 0.8358, prior_entropy: 1, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7642, unweighted_recall: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8461, kappa: 0.6923, kb_relative_information_score: 0.4146, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.5, weighted_recall: 0.8462, number_of_instances: 2600, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 1, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7224, unweighted_recall: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7342, kappa: 0.47, kb_relative_information_score: 0.1497, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, weighted_recall: 0.735, number_of_instances: 2600, precision: 0.7379, predictive_accuracy: 0.735, prior_entropy: 1, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8996, unweighted_recall: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8318, kappa: 0.6638, kb_relative_information_score: 0.3284, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.5, weighted_recall: 0.8319, number_of_instances: 2600, precision: 0.833, predictive_accuracy: 0.8319, prior_entropy: 1, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7773, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8473, kappa: 0.6946, kb_relative_information_score: 0.4125, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.5, weighted_recall: 0.8473, number_of_instances: 2600, precision: 0.8474, predictive_accuracy: 0.8473, prior_entropy: 1, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7247, unweighted_recall: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8704, kappa: 0.7408, kb_relative_information_score: 0.4997, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.5, weighted_recall: 0.8704, number_of_instances: 2600, precision: 0.8705, predictive_accuracy: 0.8704, prior_entropy: 1, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.334, root_relative_squared_error: 0.668, unweighted_recall: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.834, kappa: 0.6685, kb_relative_information_score: 0.3256, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.5, weighted_recall: 0.8342, number_of_instances: 2600, precision: 0.8359, predictive_accuracy: 0.8342, prior_entropy: 1, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7762, unweighted_recall: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8222, kappa: 0.6446, kb_relative_information_score: 0.3203, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.5, weighted_recall: 0.8223, number_of_instances: 2600, precision: 0.8232, predictive_accuracy: 0.8223, prior_entropy: 1, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7839, unweighted_recall: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8222, kappa: 0.6446, kb_relative_information_score: 0.3358, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.5, weighted_recall: 0.8223, number_of_instances: 2600, precision: 0.8231, predictive_accuracy: 0.8223, prior_entropy: 1, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7718, unweighted_recall: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8711, kappa: 0.7423, kb_relative_information_score: 0.4867, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.5, weighted_recall: 0.8712, number_of_instances: 2600, precision: 0.8713, predictive_accuracy: 0.8712, prior_entropy: 1, relative_absolute_error: 0.5617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6711, unweighted_recall: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8711, kappa: 0.7423, kb_relative_information_score: 0.4747, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.5, weighted_recall: 0.8712, number_of_instances: 2600, precision: 0.8712, predictive_accuracy: 0.8712, prior_entropy: 1, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6761, unweighted_recall: 0.8712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.87, kappa: 0.74, kb_relative_information_score: 0.5072, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, weighted_recall: 0.87, number_of_instances: 2600, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 1, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6598, unweighted_recall: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8577, kappa: 0.7154, kb_relative_information_score: 0.5408, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.5, weighted_recall: 0.8577, number_of_instances: 2600, precision: 0.8577, predictive_accuracy: 0.8577, prior_entropy: 1, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6597, unweighted_recall: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7289, kappa: 0.46, kb_relative_information_score: 0.1558, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.5, weighted_recall: 0.73, number_of_instances: 2600, precision: 0.7339, predictive_accuracy: 0.73, prior_entropy: 1, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.897, unweighted_recall: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 0.4127, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.5, weighted_recall: 0.8469, number_of_instances: 2600, precision: 0.8469, predictive_accuracy: 0.8469, prior_entropy: 1, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7256, unweighted_recall: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7576, kappa: 0.5177, kb_relative_information_score: 0.2101, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.5, weighted_recall: 0.7588, number_of_instances: 2600, precision: 0.7643, predictive_accuracy: 0.7588, prior_entropy: 1, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8605, unweighted_recall: 0.7588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.853, kappa: 0.7062, kb_relative_information_score: 0.3975, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.5, weighted_recall: 0.8531, number_of_instances: 2600, precision: 0.8536, predictive_accuracy: 0.8531, prior_entropy: 1, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7269, unweighted_recall: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.5968, kappa: 0.2069, kb_relative_information_score: 0.1198, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.5, weighted_recall: 0.6035, number_of_instances: 2600, precision: 0.6107, predictive_accuracy: 0.6035, prior_entropy: 1, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, unweighted_recall: 0.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8461, kappa: 0.6923, kb_relative_information_score: 0.4288, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.5, weighted_recall: 0.8462, number_of_instances: 2600, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 1, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7156, unweighted_recall: 0.8462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7319, kappa: 0.4654, kb_relative_information_score: 0.15, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.5, weighted_recall: 0.7327, number_of_instances: 2600, precision: 0.7355, predictive_accuracy: 0.7327, prior_entropy: 1, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8994, unweighted_recall: 0.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8508, kappa: 0.7015, kb_relative_information_score: 0.546, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.5, weighted_recall: 0.8508, number_of_instances: 2600, precision: 0.8508, predictive_accuracy: 0.8508, prior_entropy: 1, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6723, unweighted_recall: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.555, kappa: 0.11, kb_relative_information_score: 0.021, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, weighted_recall: 0.555, number_of_instances: 2600, precision: 0.555, predictive_accuracy: 0.555, prior_entropy: 1, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9913, unweighted_recall: 0.555,

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

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

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