OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 453.5163, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.3008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9601, kappa: 0.9197, kb_relative_information_score: 431.9028, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9633, predictive_accuracy: 0.96, prior_entropy: 0.991, recall: 0.96, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.4885, kappa: 0.0807, kb_relative_information_score: 37.7293, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6239, predictive_accuracy: 0.584, prior_entropy: 0.991, recall: 0.584, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.6154, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 362.9988, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.2868, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 460.8439, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 448.063, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9864, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 473.6998, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.8565, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 469.0748, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.2932, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 489.0043, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.2932, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 483.5284, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.9411, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 493.0415, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9482, kappa: 0.8957, kb_relative_information_score: 348.3564, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.952, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 460.2236, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9441, kappa: 0.8873, kb_relative_information_score: 386.7, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9457, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 462.7218, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 481.2259, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0392, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.2047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 487.7453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 491.5482, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.048, root_relative_squared_error: 0.0966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 368.3675, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.3973, kb_relative_information_score: -0.0369, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.3091, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 483.5282, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9881, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 490.8125, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 491.9847, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.9411, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 459.3569, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 478.8326, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 487.7453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 459.5344, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 468.567, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 487.7453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 487.7453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 479.4921, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 458.3299, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 471.6444, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 447.1781, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 473.4906, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 473.4906, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 475.527, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.483, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.2198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.1969, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2627, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2718, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2366, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5791, kappa: 0.1462, kb_relative_information_score: 62.6475, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.991, recall: 0.58, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.609, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.174, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.59, kappa: 0.1674, kb_relative_information_score: 21.0703, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.591, predictive_accuracy: 0.596, prior_entropy: 0.991, recall: 0.596, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9396, kappa: 0.8773, kb_relative_information_score: 266.8093, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9429, predictive_accuracy: 0.94, prior_entropy: 0.991, recall: 0.94, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 450.1877, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9077, kappa: 0.8126, kb_relative_information_score: 360.4989, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9085, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9599, kappa: 0.9187, kb_relative_information_score: 449.6237, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 0.991, recall: 0.96, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 460.8771, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 456.9374, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0978, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.972, kappa: 0.9434, kb_relative_information_score: 427.3734, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9723, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 463.1119, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2416, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 458.6968, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2825, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.1719, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9501, kappa: 0.8992, kb_relative_information_score: 424.502, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9511, predictive_accuracy: 0.95, prior_entropy: 0.991, recall: 0.95, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.98, kappa: 0.9596, kb_relative_information_score: 451.9632, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9802, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.848, kappa: 0.6913, kb_relative_information_score: 335.0632, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8548, predictive_accuracy: 0.85, prior_entropy: 0.991, recall: 0.85, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9521, kappa: 0.9038, kb_relative_information_score: 416.5895, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9567, predictive_accuracy: 0.952, prior_entropy: 0.991, recall: 0.952, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9679, kappa: 0.935, kb_relative_information_score: 429.2932, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9684, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9481, kappa: 0.8952, kb_relative_information_score: 418.3102, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9493, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.944, kappa: 0.8866, kb_relative_information_score: 393.4428, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.9693, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2613, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.8796, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9025, kappa: 0.802, kb_relative_information_score: 260.7065, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9133, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9457, kappa: 0.8897, kb_relative_information_score: 412.6359, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9482, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 461.9575, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9579, kappa: 0.9146, kb_relative_information_score: 434.5986, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9584, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 429.1674, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.8767, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.966, kappa: 0.931, kb_relative_information_score: 456.138, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.2965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.6946, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.968, kappa: 0.9351, kb_relative_information_score: 454.9674, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 462.0242, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6091, kappa: 0.2191, kb_relative_information_score: 24.2727, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6322, predictive_accuracy: 0.63, prior_entropy: 0.991, recall: 0.63, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.2161, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.517, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 472.8772, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 454.4999, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.3015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.6394, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 434.5961, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 462.9368, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.4006, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.944, kappa: 0.8866, kb_relative_information_score: 391.3162, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.944, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.4636,

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

OpenML bootcamp

From your own software

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

OpenML APIs