OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7146, kappa: 0.4272, kb_relative_information_score: 10600.877, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7146, predictive_accuracy: 0.7148, prior_entropy: 0.9976, recall: 0.7148, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.6683, kappa: 0.3367, kb_relative_information_score: 829.4054, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6756, predictive_accuracy: 0.6729, prior_entropy: 0.9976, recall: 0.6729, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7212, kappa: 0.4404, kb_relative_information_score: 26618.4895, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.6941, kappa: 0.3859, kb_relative_information_score: 1512.2824, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6941, predictive_accuracy: 0.6944, prior_entropy: 0.9976, recall: 0.6944, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7197, kappa: 0.4375, kb_relative_information_score: 26820.2138, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7197, prior_entropy: 0.9976, recall: 0.7197, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, kb_relative_information_score: 1.5295, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7162, kappa: 0.4305, kb_relative_information_score: 27868.5092, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7162, predictive_accuracy: 0.7163, prior_entropy: 0.9976, recall: 0.7163, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7146, kappa: 0.4271, kb_relative_information_score: 4672.2096, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7146, predictive_accuracy: 0.7148, prior_entropy: 0.9976, recall: 0.7148, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7194, kappa: 0.4369, kb_relative_information_score: 27505.1116, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5572, f_measure: 0.5358, kappa: 0.0737, kb_relative_information_score: 1804.9518, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5402, predictive_accuracy: 0.5441, prior_entropy: 0.9976, recall: 0.5441, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7146, kappa: 0.4271, kb_relative_information_score: 5087.2503, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7146, predictive_accuracy: 0.7148, prior_entropy: 0.9976, recall: 0.7148, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 27051.5118, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6847, kappa: 0.367, kb_relative_information_score: -79.8726, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6846, predictive_accuracy: 0.6849, prior_entropy: 0.9976, recall: 0.6849, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7213, kappa: 0.4406, kb_relative_information_score: 27469.4443, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.6881, kappa: 0.3739, kb_relative_information_score: -214.7895, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.688, predictive_accuracy: 0.6883, prior_entropy: 0.9976, recall: 0.6883, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7026, kappa: 0.4034, kb_relative_information_score: 4599.4418, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7027, predictive_accuracy: 0.7025, prior_entropy: 0.9976, recall: 0.7025, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7198, kappa: 0.4376, kb_relative_information_score: 24080.8077, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.63, kappa: 0.3057, kb_relative_information_score: 239.0527, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6933, predictive_accuracy: 0.6448, prior_entropy: 0.9976, recall: 0.6448, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7204, kappa: 0.4385, kb_relative_information_score: 23343.6732, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 27133.8925, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.4794, kappa: 0.071, kb_relative_information_score: 2426.3307, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5781, predictive_accuracy: 0.5556, prior_entropy: 0.9976, recall: 0.5556, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7226, kappa: 0.4432, kb_relative_information_score: 26809.8304, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7225, predictive_accuracy: 0.7227, prior_entropy: 0.9976, recall: 0.7227, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7171, kappa: 0.4322, kb_relative_information_score: 27872.4777, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.717, predictive_accuracy: 0.7171, prior_entropy: 0.9976, recall: 0.7171, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7214, kappa: 0.441, kb_relative_information_score: 25823.2571, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7208, kappa: 0.4396, kb_relative_information_score: 26580.5651, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7076, kappa: 0.413, kb_relative_information_score: 27497.6411, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7075, predictive_accuracy: 0.7077, prior_entropy: 0.9976, recall: 0.7077, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7202, kappa: 0.4385, kb_relative_information_score: 26300.0815, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.676, kappa: 0.3496, kb_relative_information_score: 680.9303, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6759, predictive_accuracy: 0.6761, prior_entropy: 0.9976, recall: 0.6761, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 26620.6174, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6412, kappa: 0.2822, kb_relative_information_score: 1662.9698, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6471, predictive_accuracy: 0.646, prior_entropy: 0.9976, recall: 0.646, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7214, kappa: 0.4408, kb_relative_information_score: 26301.4865, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7213, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.6777, kappa: 0.3536, kb_relative_information_score: 914.3684, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6808, predictive_accuracy: 0.6802, prior_entropy: 0.9976, recall: 0.6802, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7218, kappa: 0.4416, kb_relative_information_score: 27202.445, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7217, predictive_accuracy: 0.7218, prior_entropy: 0.9976, recall: 0.7218, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4607, f_measure: 0.3757, kappa: 0.0084, kb_relative_information_score: 86.8746, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6551, predictive_accuracy: 0.5322, prior_entropy: 0.9976, recall: 0.5322, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7203, kappa: 0.4388, kb_relative_information_score: 26051.343, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7201, kappa: 0.4382, kb_relative_information_score: 24411.8323, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.3813, kappa: 0.0055, kb_relative_information_score: 68.4674, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5411, predictive_accuracy: 0.5303, prior_entropy: 0.9976, recall: 0.5303, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7216, kappa: 0.4412, kb_relative_information_score: 25631.1679, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7218, prior_entropy: 0.9976, recall: 0.7218, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6456, kappa: 0.2908, kb_relative_information_score: 12470.906, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6513, predictive_accuracy: 0.6501, prior_entropy: 0.9976, recall: 0.6501, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6729, kappa: 0.3467, kb_relative_information_score: 666.2689, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6819, predictive_accuracy: 0.6781, prior_entropy: 0.9976, recall: 0.6781, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.7085, kappa: 0.4149, kb_relative_information_score: 3364.8432, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7085, predictive_accuracy: 0.7087, prior_entropy: 0.9976, recall: 0.7087, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.694, kappa: 0.386, kb_relative_information_score: 2440.6518, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.694, predictive_accuracy: 0.694, prior_entropy: 0.9976, recall: 0.694, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.72, kappa: 0.4379, kb_relative_information_score: 24474.8601, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7204, kappa: 0.4385, kb_relative_information_score: 23799.011, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7185, kappa: 0.4352, kb_relative_information_score: 26482.8599, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7191, kappa: 0.4364, kb_relative_information_score: 26771.1502, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7198, kappa: 0.4375, kb_relative_information_score: 24098.6311, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 11739.8024, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6657, kappa: 0.3293, kb_relative_information_score: 719.1545, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6658, predictive_accuracy: 0.6657, prior_entropy: 0.9976, recall: 0.6657, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 26821.4073, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7192, prior_entropy: 0.9976, recall: 0.7192, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.721, kappa: 0.44, kb_relative_information_score: 26047.8806, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7205, kappa: 0.4391, kb_relative_information_score: 26807.6735, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, f_measure: 0.4703, kappa: 0.0198, kb_relative_information_score: 644.4054, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5178, predictive_accuracy: 0.5283, prior_entropy: 0.9976, recall: 0.5283, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7216, kappa: 0.4413, kb_relative_information_score: 26545.5623, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6591, kappa: 0.3156, kb_relative_information_score: 6257.1254, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.659, predictive_accuracy: 0.6593, prior_entropy: 0.9976, recall: 0.6593, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7091, kappa: 0.4159, kb_relative_information_score: 2957.6878, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7091, predictive_accuracy: 0.7094, prior_entropy: 0.9976, recall: 0.7094, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0938, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6377, kappa: 0.2756, kb_relative_information_score: 11478.8198, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6441, predictive_accuracy: 0.6428, prior_entropy: 0.9976, recall: 0.6428, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3719, kappa: 0.0019, kb_relative_information_score: -6.5194, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5357, predictive_accuracy: 0.5291, prior_entropy: 0.9976, recall: 0.5291, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7122, kappa: 0.4221, kb_relative_information_score: 20179.9173, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7125, predictive_accuracy: 0.7128, prior_entropy: 0.9976, recall: 0.7128, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7152, kappa: 0.4285, kb_relative_information_score: 27652.0677, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7152, predictive_accuracy: 0.7153, prior_entropy: 0.9976, recall: 0.7153, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7021, kappa: 0.4019, kb_relative_information_score: 2445.71, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.702, predictive_accuracy: 0.7023, prior_entropy: 0.9976, recall: 0.7023, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4791, f_measure: 0.3898, kappa: 0.0096, kb_relative_information_score: -121.4868, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5474, predictive_accuracy: 0.5317, prior_entropy: 0.9976, recall: 0.5317, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7208, kappa: 0.4398, kb_relative_information_score: 26667.1127, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.7017, kappa: 0.4011, kb_relative_information_score: 532.0446, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7016, predictive_accuracy: 0.7019, prior_entropy: 0.9976, recall: 0.7019, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.717, kappa: 0.4319, kb_relative_information_score: 800.8884, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.717, predictive_accuracy: 0.7172, prior_entropy: 0.9976, recall: 0.7172, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7205, kappa: 0.439, kb_relative_information_score: 25763.022, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.5155, kappa: 0.0538, kb_relative_information_score: 777.0441, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5333, predictive_accuracy: 0.5387, prior_entropy: 0.9976, recall: 0.5387, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7166, kappa: 0.4311, kb_relative_information_score: 3413.2357, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7166, predictive_accuracy: 0.7169, prior_entropy: 0.9976, recall: 0.7169, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7191, kappa: 0.4363, kb_relative_information_score: 26936.5572, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7191, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.7529, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7073, kappa: 0.4124, kb_relative_information_score: 27247.5676, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7072, predictive_accuracy: 0.7074, prior_entropy: 0.9976, recall: 0.7074, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7182, kappa: 0.4344, kb_relative_information_score: 27517.0753, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7181, predictive_accuracy: 0.7182, prior_entropy: 0.9976, recall: 0.7182, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.6769, kappa: 0.3515, kb_relative_information_score: -340.8748, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6768, predictive_accuracy: 0.677, prior_entropy: 0.9976, recall: 0.677, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7185, kappa: 0.4351, kb_relative_information_score: 27176.3351, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 25297.4316, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7716, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.6494, kappa: 0.2962, kb_relative_information_score: 2082.7986, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6493, predictive_accuracy: 0.6496, prior_entropy: 0.9976, recall: 0.6496, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7122, kappa: 0.4224, kb_relative_information_score: 27454.0904, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7122, predictive_accuracy: 0.7123, prior_entropy: 0.9976, recall: 0.7123, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7154, kappa: 0.4287, kb_relative_information_score: 5505.4433, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7156, prior_entropy: 0.9976, recall: 0.7156, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26750.9228, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.7187, kappa: 0.4355, kb_relative_information_score: 26775.6344, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7216, kappa: 0.4411, kb_relative_information_score: 25928.7575, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7215, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7203, kappa: 0.4385, kb_relative_information_score: 27434.2136, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4628, kappa: -0.005, kb_relative_information_score: -121.7574, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4979, predictive_accuracy: 0.5154, prior_entropy: 0.9976, recall: 0.5154, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7202, kappa: 0.4386, kb_relative_information_score: 26632.2655, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7202, prior_entropy: 0.9976, recall: 0.7202, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7182, kappa: 0.4344, kb_relative_information_score: 27470.6843, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7181, predictive_accuracy: 0.7183, prior_entropy: 0.9976, recall: 0.7183, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7177, kappa: 0.4334, kb_relative_information_score: 27730.3211, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7177, prior_entropy: 0.9976, recall: 0.7177, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7222, kappa: 0.4425, kb_relative_information_score: 27265.4354, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7222, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7188, kappa: 0.4357, kb_relative_information_score: 27549.4765, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.6946, kappa: 0.3868, kb_relative_information_score: -382.5877, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6947, predictive_accuracy: 0.6951, prior_entropy: 0.9976, recall: 0.6951, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7107, kappa: 0.4191, kb_relative_information_score: 3673.4051, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7106, predictive_accuracy: 0.7109, prior_entropy: 0.9976, recall: 0.7109, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7143, kappa: 0.4262, kb_relative_information_score: 20424.8949, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7146, predictive_accuracy: 0.7148, prior_entropy: 0.9976, recall: 0.7148, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.718, kappa: 0.4342, kb_relative_information_score: 27913.8646, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.718, predictive_accuracy: 0.7181, prior_entropy: 0.9976, recall: 0.7181, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.6799, kappa: 0.3574, kb_relative_information_score: 167.173, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6798, predictive_accuracy: 0.6801, prior_entropy: 0.9976, recall: 0.6801, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7158, kappa: 0.4296, kb_relative_information_score: 27323.7444, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7158, predictive_accuracy: 0.7159, prior_entropy: 0.9976, recall: 0.7159, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7185, kappa: 0.435, kb_relative_information_score: 27809.3361, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7184, predictive_accuracy: 0.7185, prior_entropy: 0.9976, recall: 0.7185, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7222, kappa: 0.4424, kb_relative_information_score: 26223.5178, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7151, kappa: 0.4281, kb_relative_information_score: 27671.9537, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7151, prior_entropy: 0.9976, recall: 0.7151, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3929, kb_relative_information_score: -275.5052, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.3753, kappa: 0.0068, kb_relative_information_score: 138.2373, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6126, predictive_accuracy: 0.5314, prior_entropy: 0.9976, recall: 0.5314, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7185, kappa: 0.4352, kb_relative_information_score: 27202.9805, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7185, predictive_accuracy: 0.7186, prior_entropy: 0.9976, recall: 0.7186, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8571,

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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From your own software

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

OpenML APIs