Task
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: 0.6038, f_measure: 0.6036, kappa: 0.2077, kb_relative_information_score: 0.2077, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6041, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6294, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5871, kappa: 0.1754, kb_relative_information_score: 0.1754, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5882, predictive_accuracy: 0.5877, prior_entropy: 1, recall: 0.5877, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.2842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.6008, kappa: 0.2015, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6318, root_relative_squared_error: 1.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.5812, kappa: 0.1623, kb_relative_information_score: 0.1623, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5812, predictive_accuracy: 0.5812, prior_entropy: 1, recall: 0.5812, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6472, root_relative_squared_error: 1.2944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5846, kappa: 0.1692, kb_relative_information_score: 0.1692, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5846, predictive_accuracy: 0.5846, prior_entropy: 1, recall: 0.5846, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6445, root_relative_squared_error: 1.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5339, kappa: 0.0708, kb_relative_information_score: 0.0708, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5358, predictive_accuracy: 0.5354, prior_entropy: 1, recall: 0.5354, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6816, root_relative_squared_error: 1.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.5053, kappa: 0.0662, kb_relative_information_score: 0.0662, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5427, predictive_accuracy: 0.5331, prior_entropy: 1, recall: 0.5331, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6833, root_relative_squared_error: 1.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.4106, kappa: 0.0008, kb_relative_information_score: 0.0008, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.501, predictive_accuracy: 0.5004, prior_entropy: 1, recall: 0.5004, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7068, root_relative_squared_error: 1.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5942, f_measure: 0.5942, kappa: 0.1885, kb_relative_information_score: 0.1885, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5942, predictive_accuracy: 0.5942, prior_entropy: 1, recall: 0.5942, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.637, root_relative_squared_error: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.5322, kappa: 0.0677, kb_relative_information_score: 0.0677, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5343, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6828, root_relative_squared_error: 1.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5986, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.6031, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 0.2262, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6132, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.622, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5115, f_measure: 0.4635, kappa: 0.0231, kb_relative_information_score: 0.0231, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.518, predictive_accuracy: 0.5115, prior_entropy: 1, recall: 0.5115, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6989, root_relative_squared_error: 1.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5904, kappa: 0.1808, kb_relative_information_score: 0.1808, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5904, predictive_accuracy: 0.5904, prior_entropy: 1, recall: 0.5904, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.64, root_relative_squared_error: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5368, kappa: 0.0769, kb_relative_information_score: 0.0769, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.539, predictive_accuracy: 0.5385, prior_entropy: 1, recall: 0.5385, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5517, kappa: 0.1046, kb_relative_information_score: 0.1046, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5526, predictive_accuracy: 0.5523, prior_entropy: 1, recall: 0.5523, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6691, root_relative_squared_error: 1.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6004, kappa: 0.2008, kb_relative_information_score: 0.2008, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6004, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.3691, kappa: 0.0262, kb_relative_information_score: 0.0262, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6499, predictive_accuracy: 0.5131, prior_entropy: 1, recall: 0.5131, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6978, root_relative_squared_error: 1.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5538, kappa: 0.1077, kb_relative_information_score: 0.1077, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5539, predictive_accuracy: 0.5538, prior_entropy: 1, recall: 0.5538, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5712, kappa: 0.1569, kb_relative_information_score: 0.1569, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5842, predictive_accuracy: 0.5785, prior_entropy: 1, recall: 0.5785, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.5347, kappa: 0.1, kb_relative_information_score: 0.1, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5576, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6023, f_measure: 0.6023, kappa: 0.2046, kb_relative_information_score: 0.2046, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6023, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6306, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6105, kappa: 0.2292, kb_relative_information_score: 0.2292, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6196, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5361, kappa: 0.0754, kb_relative_information_score: 0.0754, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5382, predictive_accuracy: 0.5377, prior_entropy: 1, recall: 0.5377, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6799, root_relative_squared_error: 1.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.5594, kappa: 0.1277, kb_relative_information_score: 0.1277, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5638, prior_entropy: 1, recall: 0.5638, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6604, root_relative_squared_error: 1.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5368, kappa: 0.0769, kb_relative_information_score: 0.0769, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.539, predictive_accuracy: 0.5385, prior_entropy: 1, recall: 0.5385, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6005, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6034, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5696, kappa: 0.1531, kb_relative_information_score: 0.1531, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5818, predictive_accuracy: 0.5765, prior_entropy: 1, recall: 0.5765, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, f_measure: 0.5696, kappa: 0.1531, kb_relative_information_score: 0.1531, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5818, predictive_accuracy: 0.5765, prior_entropy: 1, recall: 0.5765, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5691, kappa: 0.1523, kb_relative_information_score: 0.1523, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5815, predictive_accuracy: 0.5762, prior_entropy: 1, recall: 0.5762, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.651, root_relative_squared_error: 1.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 0.2077, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6038, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6294, root_relative_squared_error: 1.2588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.3326, kappa: -0.0031, kb_relative_information_score: -0.0031, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.2496, predictive_accuracy: 0.4985, prior_entropy: 1, recall: 0.4985, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7082, root_relative_squared_error: 1.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.5377, kappa: 0.0792, kb_relative_information_score: 0.0792, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5403, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.5331, kappa: 0.0692, kb_relative_information_score: 0.0692, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5351, predictive_accuracy: 0.5346, prior_entropy: 1, recall: 0.5346, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6822, root_relative_squared_error: 1.3644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.5477, kappa: 0.1185, kb_relative_information_score: 0.1185, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.566, predictive_accuracy: 0.5592, prior_entropy: 1, recall: 0.5592, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5835, kappa: 0.1669, kb_relative_information_score: 0.1669, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5835, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5368, kappa: 0.0769, kb_relative_information_score: 0.0769, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.539, predictive_accuracy: 0.5385, prior_entropy: 1, recall: 0.5385, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.5719, kappa: 0.1438, kb_relative_information_score: 0.1438, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5719, predictive_accuracy: 0.5719, prior_entropy: 1, recall: 0.5719, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6543, root_relative_squared_error: 1.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.5719, kappa: 0.1438, kb_relative_information_score: 0.1438, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5719, predictive_accuracy: 0.5719, prior_entropy: 1, recall: 0.5719, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6543, root_relative_squared_error: 1.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.603, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5804, kappa: 0.1608, kb_relative_information_score: 0.1608, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5804, predictive_accuracy: 0.5804, prior_entropy: 1, recall: 0.5804, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6478, root_relative_squared_error: 1.2956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.571, kappa: 0.1562, kb_relative_information_score: 0.1562, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5836, predictive_accuracy: 0.5781, prior_entropy: 1, recall: 0.5781, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6496, root_relative_squared_error: 1.2991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3815, kappa: 0.0054, kb_relative_information_score: 0.0054, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5125, predictive_accuracy: 0.5027, prior_entropy: 1, recall: 0.5027, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7052, root_relative_squared_error: 1.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.478, kappa: 0.0369, kb_relative_information_score: 0.0369, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5268, predictive_accuracy: 0.5185, prior_entropy: 1, recall: 0.5185, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6939, root_relative_squared_error: 1.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.5358, kappa: 0.0746, kb_relative_information_score: 0.0746, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5378, predictive_accuracy: 0.5373, prior_entropy: 1, recall: 0.5373, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6802, root_relative_squared_error: 1.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.4869, kappa: 0.0477, kb_relative_information_score: 0.0477, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5335, predictive_accuracy: 0.5238, prior_entropy: 1, recall: 0.5238, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.69, root_relative_squared_error: 1.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.5663, kappa: 0.1331, kb_relative_information_score: 0.1331, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5667, predictive_accuracy: 0.5665, prior_entropy: 1, recall: 0.5665, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6584, root_relative_squared_error: 1.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5304, f_measure: 0.5304, kappa: 0.0608, kb_relative_information_score: 0.0608, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5304, predictive_accuracy: 0.5304, prior_entropy: 1, recall: 0.5304, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6853, root_relative_squared_error: 1.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.5385, kappa: 0.0808, kb_relative_information_score: 0.0808, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.541, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6779, root_relative_squared_error: 1.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.5406, kappa: 0.0854, kb_relative_information_score: 0.0854, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5435, predictive_accuracy: 0.5427, prior_entropy: 1, recall: 0.5427, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.5982, kappa: 0.1992, kb_relative_information_score: 0.1992, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6011, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6328, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.5365, kappa: 0.0762, kb_relative_information_score: 0.0762, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5386, predictive_accuracy: 0.5381, prior_entropy: 1, recall: 0.5381, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6796, root_relative_squared_error: 1.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.603, kappa: 0.2062, kb_relative_information_score: 0.2062, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6032, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.63, root_relative_squared_error: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6004, f_measure: 0.6004, kappa: 0.2008, kb_relative_information_score: 0.2008, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6004, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6322, root_relative_squared_error: 1.2643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5623, kappa: 0.1246, kb_relative_information_score: 0.1246, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5623, predictive_accuracy: 0.5623, prior_entropy: 1, recall: 0.5623, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6616, root_relative_squared_error: 1.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6031, kappa: 0.2069, kb_relative_information_score: 0.2069, mean_absolute_error: 0.3965, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6038, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6297, root_relative_squared_error: 1.2594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5998, kappa: 0.2, kb_relative_information_score: 0.2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6002, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5292, kappa: 0.0585, kb_relative_information_score: 0.0585, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5292, predictive_accuracy: 0.5292, prior_entropy: 1, recall: 0.5292, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6861, root_relative_squared_error: 1.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.4186, kappa: 0.0054, kb_relative_information_score: 0.0054, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5064, predictive_accuracy: 0.5027, prior_entropy: 1, recall: 0.5027, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7052, root_relative_squared_error: 1.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.5377, kappa: 0.0792, kb_relative_information_score: 0.0792, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5403, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6785, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4215, f_measure: 0.4215, kappa: -0.1569, kb_relative_information_score: -0.1569, mean_absolute_error: 0.5785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.4215, predictive_accuracy: 0.4215, prior_entropy: 1, recall: 0.4215, relative_absolute_error: 1.1569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7606, root_relative_squared_error: 1.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.5315, kappa: 0.0869, kb_relative_information_score: 0.0869, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5484, predictive_accuracy: 0.5435, prior_entropy: 1, recall: 0.5435, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6757, root_relative_squared_error: 1.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5677, f_measure: 0.5677, kappa: 0.1354, kb_relative_information_score: 0.1354, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6575, root_relative_squared_error: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.6091, kappa: 0.2192, kb_relative_information_score: 0.2192, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6102, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6248, root_relative_squared_error: 1.2496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.5801, kappa: 0.1715, kb_relative_information_score: 0.1715, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5906, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.2872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5915, kappa: 0.1831, kb_relative_information_score: 0.1831, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5915, predictive_accuracy: 0.5915, prior_entropy: 1, recall: 0.5915, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6391, root_relative_squared_error: 1.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4129, kappa: 0.0015, kb_relative_information_score: 0.0015, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5019, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7066, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.5778, kappa: 0.1662, kb_relative_information_score: 0.1662, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5875, predictive_accuracy: 0.5831, prior_entropy: 1, recall: 0.5831, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6457, root_relative_squared_error: 1.2914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.4766, kappa: 0.1292, kb_relative_information_score: 0.1292, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6972, predictive_accuracy: 0.5646, prior_entropy: 1, recall: 0.5646, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.5712, kappa: 0.1423, kb_relative_information_score: 0.1423, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5712, predictive_accuracy: 0.5712, prior_entropy: 1, recall: 0.5712, relative_absolute_error: 0.8577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6549, root_relative_squared_error: 1.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.5705, kappa: 0.1554, kb_relative_information_score: 0.1554, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5833, predictive_accuracy: 0.5777, prior_entropy: 1, recall: 0.5777, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6499, root_relative_squared_error: 1.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.5685, kappa: 0.1369, kb_relative_information_score: 0.1369, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6569, root_relative_squared_error: 1.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.604, kappa: 0.2115, kb_relative_information_score: 0.2115, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6077, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6279, root_relative_squared_error: 1.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4265, kappa: 0.0085, kb_relative_information_score: 0.0085, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5092, predictive_accuracy: 0.5042, prior_entropy: 1, recall: 0.5042, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7041, root_relative_squared_error: 1.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6019, kappa: 0.2038, kb_relative_information_score: 0.2038, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6019, predictive_accuracy: 0.6019, prior_entropy: 1, recall: 0.6019, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6309, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.5888, kappa: 0.1777, kb_relative_information_score: 0.1777, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5888, predictive_accuracy: 0.5888, prior_entropy: 1, recall: 0.5888, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6412, root_relative_squared_error: 1.2824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.5347, kappa: 0.0723, kb_relative_information_score: 0.0723, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5366, predictive_accuracy: 0.5362, prior_entropy: 1, recall: 0.5362, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.6008, kappa: 0.2015, kb_relative_information_score: 0.2015, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6318, root_relative_squared_error: 1.2637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.5631, kappa: 0.1262, kb_relative_information_score: 0.1262, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5631, predictive_accuracy: 0.5631, prior_entropy: 1, recall: 0.5631, relative_absolute_error: 0.8738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.661, root_relative_squared_error: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5353, kappa: 0.0992, kb_relative_information_score: 0.0992, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5566, predictive_accuracy: 0.5496, prior_entropy: 1, recall: 0.5496, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 0.2031, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6312, root_relative_squared_error: 1.2625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.5723, kappa: 0.1446, kb_relative_information_score: 0.1446, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5723, prior_entropy: 1, recall: 0.5723, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.654, root_relative_squared_error: 1.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5333, kappa: 0.0946, kb_relative_information_score: 0.0946, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5538, predictive_accuracy: 0.5473, prior_entropy: 1, recall: 0.5473, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6728, root_relative_squared_error: 1.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5904, kappa: 0.1808, kb_relative_information_score: 0.1808, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5904, predictive_accuracy: 0.5904, prior_entropy: 1, recall: 0.5904, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.64, root_relative_squared_error: 1.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5368, kappa: 0.0769, kb_relative_information_score: 0.0769, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.539, predictive_accuracy: 0.5385, prior_entropy: 1, recall: 0.5385, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5669, kappa: 0.1338, kb_relative_information_score: 0.1338, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5669, predictive_accuracy: 0.5669, prior_entropy: 1, recall: 0.5669, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6581, root_relative_squared_error: 1.3162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.3713, kappa: 0.0277, kb_relative_information_score: 0.0277, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6487, predictive_accuracy: 0.5138, prior_entropy: 1, recall: 0.5138, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6972, root_relative_squared_error: 1.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 0.2054, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6303, root_relative_squared_error: 1.2606,

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