OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8439, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8482, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8331, kappa: 0.8314, kb_relative_information_score: 1332.4173, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8404, predictive_accuracy: 0.8331, prior_entropy: 6.6439, recall: 0.8331, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.3435, kappa: 0.2449, kb_relative_information_score: 401.3898, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7376, predictive_accuracy: 0.2525, prior_entropy: 6.6439, recall: 0.2525, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1223, root_relative_squared_error: 1.2289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.844, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8491, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.3635, kappa: 0.2626, kb_relative_information_score: 429.451, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7434, predictive_accuracy: 0.27, prior_entropy: 6.6439, recall: 0.27, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1208, root_relative_squared_error: 1.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7538, kappa: 0.7153, kb_relative_information_score: 1148.0157, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8137, predictive_accuracy: 0.7181, prior_entropy: 6.6439, recall: 0.7181, relative_absolute_error: 0.2847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7981, kappa: 0.7955, kb_relative_information_score: 1275.2929, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.809, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.5856, kappa: 0.4874, kb_relative_information_score: 786.2279, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7889, predictive_accuracy: 0.4925, prior_entropy: 6.6439, recall: 0.4925, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1007, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7479, kappa: 0.7064, kb_relative_information_score: 1133.9852, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8121, predictive_accuracy: 0.7094, prior_entropy: 6.6439, recall: 0.7094, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, kappa: 0.1256, kb_relative_information_score: 211.9774, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1344, prior_entropy: 6.6439, recall: 0.1344, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1316, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6305, kappa: 0.5391, kb_relative_information_score: 868.4068, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8059, predictive_accuracy: 0.5438, prior_entropy: 6.6439, recall: 0.5438, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8306, kappa: 0.8251, kb_relative_information_score: 1322.3955, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8424, predictive_accuracy: 0.8269, prior_entropy: 6.6439, recall: 0.8269, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, kappa: 0.0524, kb_relative_information_score: 95.7242, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0619, prior_entropy: 6.6439, recall: 0.0619, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.137, root_relative_squared_error: 1.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8436, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.849, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7504, kappa: 0.7096, kb_relative_information_score: 1138.9961, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8131, predictive_accuracy: 0.7125, prior_entropy: 6.6439, recall: 0.7125, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.3874, kappa: 0.3718, kb_relative_information_score: 602.8285, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4247, predictive_accuracy: 0.3781, prior_entropy: 6.6439, recall: 0.3781, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1115, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7874, kappa: 0.7658, kb_relative_information_score: 1228.1903, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8248, predictive_accuracy: 0.7681, prior_entropy: 6.6439, recall: 0.7681, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, kappa: 0.0587, kb_relative_information_score: 105.746, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0681, prior_entropy: 6.6439, recall: 0.0681, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.3721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8414, kappa: 0.839, kb_relative_information_score: 1344.4435, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8464, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8401, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8451, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.6614, kappa: 0.5789, kb_relative_information_score: 931.5443, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8072, predictive_accuracy: 0.5831, prior_entropy: 6.6439, recall: 0.5831, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, kappa: 0.1503, kb_relative_information_score: 251.0625, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1588, prior_entropy: 6.6439, recall: 0.1588, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1297, root_relative_squared_error: 1.3036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8471, kappa: 0.8453, kb_relative_information_score: 1354.4653, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8514, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, kappa: 0.06, kb_relative_information_score: 107.7504, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0694, prior_entropy: 6.6439, recall: 0.0694, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1364, root_relative_squared_error: 1.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.3512, kappa: 0.3346, kb_relative_information_score: 543.6997, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3884, predictive_accuracy: 0.3413, prior_entropy: 6.6439, recall: 0.3413, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1148, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8446, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8488, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, kappa: 0.0884, kb_relative_information_score: 152.8486, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0975, prior_entropy: 6.6439, recall: 0.0975, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1344, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, kappa: 0.0524, kb_relative_information_score: 95.7242, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0619, prior_entropy: 6.6439, recall: 0.0619, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.137, root_relative_squared_error: 1.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8444, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8509, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0391, kb_relative_information_score: 74.6784, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0488, prior_entropy: 6.6439, recall: 0.0488, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7981, kappa: 0.7955, kb_relative_information_score: 1275.2929, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.809, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, kappa: 0.0915, kb_relative_information_score: 157.8595, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1006, prior_entropy: 6.6439, recall: 0.1006, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1341, root_relative_squared_error: 1.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, kappa: 0.0909, kb_relative_information_score: 156.8573, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1, prior_entropy: 6.6439, recall: 0.1, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1342, root_relative_squared_error: 1.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8389, kappa: 0.8378, kb_relative_information_score: 1342.4391, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8451, predictive_accuracy: 0.8394, prior_entropy: 6.6439, recall: 0.8394, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8433, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8475, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7726, kappa: 0.7431, kb_relative_information_score: 1192.1118, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8211, predictive_accuracy: 0.7456, prior_entropy: 6.6439, recall: 0.7456, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 87.7068, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0569, prior_entropy: 6.6439, recall: 0.0569, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1373, root_relative_squared_error: 1.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.5735, kappa: 0.5676, kb_relative_information_score: 913.5051, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5932, predictive_accuracy: 0.5719, prior_entropy: 6.6439, recall: 0.5719, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3166, kappa: 0.2967, kb_relative_information_score: 483.5688, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.364, predictive_accuracy: 0.3038, prior_entropy: 6.6439, recall: 0.3038, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.118, root_relative_squared_error: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8398, kappa: 0.8384, kb_relative_information_score: 1343.4413, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8461, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2991, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, kappa: 0.0625, kb_relative_information_score: 111.7591, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0719, prior_entropy: 6.6439, recall: 0.0719, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1362, root_relative_squared_error: 1.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7266, kappa: 0.6742, kb_relative_information_score: 1082.8739, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8085, predictive_accuracy: 0.6775, prior_entropy: 6.6439, recall: 0.6775, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8426, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8466, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7527, kappa: 0.7134, kb_relative_information_score: 1145.0092, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.813, predictive_accuracy: 0.7163, prior_entropy: 6.6439, recall: 0.7163, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8452, kappa: 0.8434, kb_relative_information_score: 1351.4588, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.849, predictive_accuracy: 0.845, prior_entropy: 6.6439, recall: 0.845, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, kappa: 0.0859, kb_relative_information_score: 148.8399, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.095, prior_entropy: 6.6439, recall: 0.095, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1345, root_relative_squared_error: 1.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.3755, kappa: 0.3605, kb_relative_information_score: 584.7892, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4122, predictive_accuracy: 0.3669, prior_entropy: 6.6439, recall: 0.3669, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1125, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8414, kappa: 0.839, kb_relative_information_score: 1344.4435, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8464, predictive_accuracy: 0.8406, prior_entropy: 6.6439, recall: 0.8406, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.2862, kappa: 0.2652, kb_relative_information_score: 433.4597, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3445, predictive_accuracy: 0.2725, prior_entropy: 6.6439, recall: 0.2725, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1206, root_relative_squared_error: 1.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, kappa: 0.0391, kb_relative_information_score: 74.6784, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0488, prior_entropy: 6.6439, recall: 0.0488, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.2923, kappa: 0.2715, kb_relative_information_score: 443.4815, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.348, predictive_accuracy: 0.2788, prior_entropy: 6.6439, recall: 0.2788, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1201, root_relative_squared_error: 1.2071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, kappa: 0.0789, kb_relative_information_score: 137.8159, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0881, prior_entropy: 6.6439, recall: 0.0881, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.135, root_relative_squared_error: 1.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.233, kappa: 0.2121, kb_relative_information_score: 349.2764, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3057, predictive_accuracy: 0.22, prior_entropy: 6.6439, recall: 0.22, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1249, root_relative_squared_error: 1.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7608, kappa: 0.726, kb_relative_information_score: 1165.0528, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.816, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8434, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8486, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8455, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8514, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8436, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.849, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, kappa: 0.0473, kb_relative_information_score: 87.7068, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0569, prior_entropy: 6.6439, recall: 0.0569, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1373, root_relative_squared_error: 1.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8469, kappa: 0.8453, kb_relative_information_score: 1354.4653, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8516, predictive_accuracy: 0.8469, prior_entropy: 6.6439, recall: 0.8469, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, kappa: 0.0379, kb_relative_information_score: 72.674, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0475, prior_entropy: 6.6439, recall: 0.0475, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.138, root_relative_squared_error: 1.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, kappa: 0.0448, kb_relative_information_score: 83.698, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0544, prior_entropy: 6.6439, recall: 0.0544, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1375, root_relative_squared_error: 1.3822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.3357, kappa: 0.3182, kb_relative_information_score: 517.643, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3751, predictive_accuracy: 0.325, prior_entropy: 6.6439, recall: 0.325, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1162, root_relative_squared_error: 1.1677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, kappa: 0.0537, kb_relative_information_score: 97.7286, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0631, prior_entropy: 6.6439, recall: 0.0631, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1369, root_relative_squared_error: 1.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2193, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2983, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8437, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8476, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.3512, kappa: 0.3346, kb_relative_information_score: 543.6997, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3884, predictive_accuracy: 0.3413, prior_entropy: 6.6439, recall: 0.3413, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1148, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, kappa: 0.0486, kb_relative_information_score: 89.7111, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0581, prior_entropy: 6.6439, recall: 0.0581, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1372, root_relative_squared_error: 1.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.3873, kappa: 0.3718, kb_relative_information_score: 602.8285, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4243, predictive_accuracy: 0.3781, prior_entropy: 6.6439, recall: 0.3781, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1115, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.6781, kappa: 0.673, kb_relative_information_score: 1080.8695, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7011, predictive_accuracy: 0.6763, prior_entropy: 6.6439, recall: 0.6763, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.8087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2195, kappa: 0.1995, kb_relative_information_score: 329.2327, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.299, predictive_accuracy: 0.2075, prior_entropy: 6.6439, recall: 0.2075, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.6491, kappa: 0.6629, kb_relative_information_score: 1094.9678, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6627, predictive_accuracy: 0.6663, prior_entropy: 6.6439, recall: 0.6663, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8451, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8504, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8444, kappa: 0.8422, kb_relative_information_score: 1349.4544, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8493, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8481, kappa: 0.8466, kb_relative_information_score: 1356.4697, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8531, predictive_accuracy: 0.8481, prior_entropy: 6.6439, recall: 0.8481, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.5539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8433, kappa: 0.8415, kb_relative_information_score: 1348.4522, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8475, predictive_accuracy: 0.8431, prior_entropy: 6.6439, recall: 0.8431, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.056, root_relative_squared_error: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, kappa: 0.0884, kb_relative_information_score: 152.8486, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0975, prior_entropy: 6.6439, recall: 0.0975, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1344, root_relative_squared_error: 1.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, kappa: 0.1989, kb_relative_information_score: 328.2305, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2069, prior_entropy: 6.6439, recall: 0.2069, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1259, root_relative_squared_error: 1.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8445, kappa: 0.8428, kb_relative_information_score: 1350.4566, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8484, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.5366, kappa: 0.4306, kb_relative_information_score: 696.0315, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7855, predictive_accuracy: 0.4363, prior_entropy: 6.6439, recall: 0.4363, relative_absolute_error: 0.5694, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1062, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8433, kappa: 0.8409, kb_relative_information_score: 1347.45, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8482, predictive_accuracy: 0.8425, prior_entropy: 6.6439, recall: 0.8425, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.5641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.3557, kappa: 0.3396, kb_relative_information_score: 551.7172, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3932, predictive_accuracy: 0.3463, prior_entropy: 6.6439, recall: 0.3463, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1143, root_relative_squared_error: 1.1492,

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